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Apache Spark Vs Apache Storm - Head To Head Comparison

In today’s world, the need for real-time data streaming is growing exponentially due to the increase in real-time data. With streaming technologies leading the world of Big Data, it might be tough for the users to choose the appropriate real-time streaming platform. Two of the most popular real-time technologies that might consider for opting are Apache Spark and Apache Storm. One major key difference between the frameworks Spark and Storm is that Spark performs Data-Parallel computations, whereas Storm occupies Task-Parallel computations. Read along to know more differences between Apache Spark and Apache Storm, and understand which one is better to adopt on the basis of different features. Comparison Table: Apache Spark Vs. Apache StormSr. NoParameterApache SparkApache Storm1.Processing  ModelBatch ProcessingMicro-batch processing2.Programming LanguageSupports lesser languages like Java, Scala.Support smultiple languages, such as Scala, Java, Clojure.3.Stream SourcesHDFSSpout4.MessagingAkka, NettyZeroMQ, Netty5.Resource ManagementYarn and Meson are responsible.Yarn and Mesos are responsible.6.Low LatencyHigher latency as compared to SparkBetter latency with lesser constraints7.Stream PrimitivesDStreamTuple, Partition8.Development CostSame code can be used for batch and stream processing.Same code cannot be used for batch and stream processing.9.State ManagementSupports State ManagementSupports State Management as well10.Message Delivery GuaranteesSupports one message processing mode: ‘at least once’.Supports three message processing mode: ‘at least once’, ‘at most once’, ‘exactly once’.11.Fault ToleranceIf a process fails, Spark restarts workers via resource managers. (YARN, Mesos)If a process fails, the supervisor process starts automatically.12.Throughput100k records per node per second10k records per node per second13.PersistenceMapStatePer RDD14.ProvisioningBasic monitoring using GangliaApache Ambaripache Spark: Apache Spark is a general-purpose, lighting fast, cluster-computing technology framework, used for fast computation on large-scale data processing. It can manage both batch and real-time analytics and data processing workloads.  Spark was developed at UC Berkeley in the year 2009. Apache Storm:Apache Storm is an open-source, scalable fault-tolerant, and real-time stream processing computation system. It is a framework for real-time distributed data processing, which focuses on stream processing or event processing. It can be used with any programming language and can be integrated using any queuing or database technology.  Apache Storm was developed by a team led by Nathan Marz at BackType Labs. Apache Spark Vs. Apache StormProcessing Model: Apache Storm supports micro-batch processing, while Apache Spark supports batch processing. Programming Language:Storm applications can be created using multiple languages like Java, Scala and Clojure, while Spark applications can be created using Java and Scala.Stream Sources:For Storm, the source of stream processing is Spout, while that for Spark is HDFS. Messaging:Storm uses ZeroMQ and Netty as its messaging layer while Spark is using a combination of Nettu and Akka for distributing the messages throughout the executors. Resource Management:Yarn and Meson are responsible for resource management in Spark, while Yarn and Mesos are responsible for resource management in Storm. Low Latency: Spark provides higher latency as compared to Apache Storm, whereas Storm can provide better latency with fewer restrictions.Stream Primitives:Spark provides with stream transforming operators which transform DStream into another, while Storm provides with various primitives which perform tuple level of processing at the stream level (functions, filters). Development Cost:It is possible for Spark to use the same code base for both stream processing and batch processing. Whereas for Storm, the same code base cannot be used for both stream processing and batch processing.  State Management: The changing and maintaining state in Apache Spark can be updated via UpdateStateByKey, but no pluggable strategy can be applied in the external system for the implementation of state. Whereas Storm does not provide any framework for the storage of any intervening bolt output as a state. Hence, each application has to create a state for itself whenever required. Message Delivery Guarantees (Handling the message level failures):Apache Spark supports only one message processing mode, viz, ‘at least once’, whereas Storm supports three message processing modes, viz, ‘at least once’ (Tuples are processed at least one time, but can be processed more than once), ‘at most once’  and ‘exactly once’ (T^uples are processed at least once). Storm’s reliability mechanisms are scalable, distributed and fault-tolerant. Fault-Tolerant:Apache Spark and Apache Storm, both are fault tolerant to nearly the same extent. If a process fails in Apache Storm, then the supervisor process will restart it automatically, as the state management is managed by Zookeeper, while Spark restarts its workers with the help of resource managers, who may be Mesos, YARN or its separate manager.Ease of Development: In the case of Storm, there are effective and easy to use APIs which show that the nature of topology is DAG. The Storm tuples are written dynamically. In the case of Spark, it consists of Java and Scala APIs with practical programming, making topology code a bit difficult to understand. But since the API documentation and samples are easily available for the developers, it is now easier. Summing Up: Apache Spark Vs Apache StormApache Storm and Apache Spark both offer great solutions to solve the transformation problems and streaming ingestions. Moreover, both can be a part of a Hadoop cluster to process data. While Storm acts as a solution for real-time stream processing, developers might find it to be quite complex to develop applications due to its limited resources. The industry is always on a lookout for a generalized solution, which has the ability to solve all types of problems, such as Batch processing, interactive processing, iterative processing and stream processing. Keeping all these points in mind, this is where Apache Spark steals the limelight as it is mostly considered as a general-purpose computation engine, making it a highly demanding tool by IT professionals. It can handle various types of problems and provides a flexible environment to in. Moreover, developers find it to be easy and are able to integrate it well with Hadoop. 
Apache Spark Vs Apache Storm - Head To Head Comparison
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Apache Spark Vs Apache Storm - Head To Head Comparison

In today’s world, the need for real-time data streaming is growing exponentially due to the increase in real-time data. With streaming technologies leading the world of Big Data, it might be tough for the users to choose the appropriate real-time streaming platform. Two of the most popular real-time technologies that might consider for opting are Apache Spark and Apache Storm. One major key difference between the frameworks Spark and Storm is that Spark performs Data-Parallel computations, whereas Storm occupies Task-Parallel computations. Read along to know more differences between Apache Spark and Apache Storm, and understand which one is better to adopt on the basis of different features. Comparison Table: Apache Spark Vs. Apache StormSr. NoParameterApache SparkApache Storm1.Processing  ModelBatch ProcessingMicro-batch processing2.Programming LanguageSupports lesser languages like Java, Scala.Support smultiple languages, such as Scala, Java, Clojure.3.Stream SourcesHDFSSpout4.MessagingAkka, NettyZeroMQ, Netty5.Resource ManagementYarn and Meson are responsible.Yarn and Mesos are responsible.6.Low LatencyHigher latency as compared to SparkBetter latency with lesser constraints7.Stream PrimitivesDStreamTuple, Partition8.Development CostSame code can be used for batch and stream processing.Same code cannot be used for batch and stream processing.9.State ManagementSupports State ManagementSupports State Management as well10.Message Delivery GuaranteesSupports one message processing mode: ‘at least once’.Supports three message processing mode: ‘at least once’, ‘at most once’, ‘exactly once’.11.Fault ToleranceIf a process fails, Spark restarts workers via resource managers. (YARN, Mesos)If a process fails, the supervisor process starts automatically.12.Throughput100k records per node per second10k records per node per second13.PersistenceMapStatePer RDD14.ProvisioningBasic monitoring using GangliaApache Ambaripache Spark: Apache Spark is a general-purpose, lighting fast, cluster-computing technology framework, used for fast computation on large-scale data processing. It can manage both batch and real-time analytics and data processing workloads.  Spark was developed at UC Berkeley in the year 2009. Apache Storm:Apache Storm is an open-source, scalable fault-tolerant, and real-time stream processing computation system. It is a framework for real-time distributed data processing, which focuses on stream processing or event processing. It can be used with any programming language and can be integrated using any queuing or database technology.  Apache Storm was developed by a team led by Nathan Marz at BackType Labs. Apache Spark Vs. Apache StormProcessing Model: Apache Storm supports micro-batch processing, while Apache Spark supports batch processing. Programming Language:Storm applications can be created using multiple languages like Java, Scala and Clojure, while Spark applications can be created using Java and Scala.Stream Sources:For Storm, the source of stream processing is Spout, while that for Spark is HDFS. Messaging:Storm uses ZeroMQ and Netty as its messaging layer while Spark is using a combination of Nettu and Akka for distributing the messages throughout the executors. Resource Management:Yarn and Meson are responsible for resource management in Spark, while Yarn and Mesos are responsible for resource management in Storm. Low Latency: Spark provides higher latency as compared to Apache Storm, whereas Storm can provide better latency with fewer restrictions.Stream Primitives:Spark provides with stream transforming operators which transform DStream into another, while Storm provides with various primitives which perform tuple level of processing at the stream level (functions, filters). Development Cost:It is possible for Spark to use the same code base for both stream processing and batch processing. Whereas for Storm, the same code base cannot be used for both stream processing and batch processing.  State Management: The changing and maintaining state in Apache Spark can be updated via UpdateStateByKey, but no pluggable strategy can be applied in the external system for the implementation of state. Whereas Storm does not provide any framework for the storage of any intervening bolt output as a state. Hence, each application has to create a state for itself whenever required. Message Delivery Guarantees (Handling the message level failures):Apache Spark supports only one message processing mode, viz, ‘at least once’, whereas Storm supports three message processing modes, viz, ‘at least once’ (Tuples are processed at least one time, but can be processed more than once), ‘at most once’  and ‘exactly once’ (T^uples are processed at least once). Storm’s reliability mechanisms are scalable, distributed and fault-tolerant. Fault-Tolerant:Apache Spark and Apache Storm, both are fault tolerant to nearly the same extent. If a process fails in Apache Storm, then the supervisor process will restart it automatically, as the state management is managed by Zookeeper, while Spark restarts its workers with the help of resource managers, who may be Mesos, YARN or its separate manager.Ease of Development: In the case of Storm, there are effective and easy to use APIs which show that the nature of topology is DAG. The Storm tuples are written dynamically. In the case of Spark, it consists of Java and Scala APIs with practical programming, making topology code a bit difficult to understand. But since the API documentation and samples are easily available for the developers, it is now easier. Summing Up: Apache Spark Vs Apache StormApache Storm and Apache Spark both offer great solutions to solve the transformation problems and streaming ingestions. Moreover, both can be a part of a Hadoop cluster to process data. While Storm acts as a solution for real-time stream processing, developers might find it to be quite complex to develop applications due to its limited resources. The industry is always on a lookout for a generalized solution, which has the ability to solve all types of problems, such as Batch processing, interactive processing, iterative processing and stream processing. Keeping all these points in mind, this is where Apache Spark steals the limelight as it is mostly considered as a general-purpose computation engine, making it a highly demanding tool by IT professionals. It can handle various types of problems and provides a flexible environment to in. Moreover, developers find it to be easy and are able to integrate it well with Hadoop. 
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Apache Spark Vs Apache Storm - Head To Head Comparison
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Agile Coach (ICP ACC): All You Need To Know

Want to shape your career as an Agile coach? ICP-ACC certification enables you to acquire the required skills to serve an Agile team in a better way. But how do these skills help you? These skills enable you to increase your focus on the objectives and business goals of an organisation as well as create a healthy environment for collaboration and problem resolution. In this article, we will see how to be an Agile Coach, roles and responsibilities, Agile Coach skills, and how the role is valuable for the organizations. But, firstly let us take a look at the definition of an Agile Coach.What is an Agile Coach?An Agile Coach is an individual who exhibits his/her years of experience in implementing Agile methodology in the projects and sharing that experience with a project team. Agile Coach trains project teams on Agile software development process and guide teams throughout the implementation process. The ultimate aim behind the Agile Coach role is to equip Agile teams with the right knowledge, tools, principles, and practices so that the teams can follow Agile in a full manner. As an Agile coach, you serve as a mentor to the Agile team while facilitating agile practices and thinking to empower the teams to reach their goals through improved team practices. Further, being an Agile coach you’ll be able to encourage a new culture of agile-lean thinking while bringing in a positive change to reflect an agile attitude by introducing some change in the organisational culture as well as redefining the work paradigm.Roles and Responsibilities of an Agile CoachWhen an organization wants to develop something new on the project, an Agile Coach is the best person to guide and to come up with some bright ideas that will enhance product development in Agile. The roles and responsibilities of an Agile coach are:Being a non-Scrum team member, Agile Coach mentors and coaches the teams on Agile methodologyAgile Coach is partly trainer and partly consultant, more specifically he/she is a Guide to the team membersBeing an individual outside the organization, Agile Coach helps the team members to implement their training knowledge into reality. Agile Coach is an Agile expert who provides objective guidance on the projectAn Agile Coach runs any kind of Agile project (of changing size and complexities) successfully    The Agile Coach is responsible for implementing the Agile techniques in varied cultures and environmentsWorking as a guide, the Agile Coach helps the team in Agile adoption and challenge the present environment How do you become an Agile Coach?To become an Agile Coach, an individual needs an expert-level of understanding of Lean-Agile practices, strong skills of team facilitation, and professional coaching and mentoring skills. The steps to becoming an Agile Coach are as follows:Get CSM® certification from any registered education provider (REP) with Scrum AllianceAfter achieving CSM®  certification, you get at least 2-3 years of working experience as a Scrum Master, which will make eligible (in terms of knowledge) to become an Agile Coach You need to get Agile Coach training- ICP-ACC certification training to become an Agile Coach What is ICP-ACC (ICAgile Certified Professional in Agile Coaching) certification?ICP-ACC certification is a knowledge-based Agile coaching certification. The main focus of this certification is to set the Agile mindset, roles, and responsibilities of an Agile coach. After achieving this certification, a candidate can easily differentiate among facilitating, mentoring, professional coaching and teaching. Also, the candidates will learn all the skills like team collaboration and conflict resolution that will lead to form a safe environment in an organization. The key focus of this certification is to develop an understanding of the professional coaching skill set as well as the value of honing these skills in order to serve individuals in an agile team.At the end of the ICP-ACC certification, you’ll be able to differentiate between and among:FacilitatingMentoringTeachingProfessional coachingWhat is ICAgile?ICAgile, established in 2010, is a globally renowned certification and accreditation body that enables organizations to configure learning experiences that develop an Agile mindset and empower to achieve sustainable agility in the organizations. It is not a training provider. The approach of ICAgile is not just limited to Agile methodology, it lets people add more flavors to make real sense out of it. ICAgile is a platform where Agile thought leaders around the world collaborate and develop learning programs that take people to achieve mastery in Agile. This accreditation body work with the course providers to certify new or existing courses against the comprehensive and demonstrated Learning Outcomes given at ICAgile. The courses provided at ICAgile meet the most elevated amount of guidelines created by overall Agile thought leaders and the learning roadmap gives a clear way to the professionals and organizations who want to begin or continue their Agile journey.    Why should an individual take up an ICP-ACC certification?Getting an ICP-ACC certification enables you to become an Agile Coach and with the rising demand for implementation of Agile methodology across various organisations, you end up having a promising career in the field. The following reasons trigger the organisations to hunt for Agile coaches to train their Agile teams:When it comes to an organisation looking to implement agile methods in their existing workflow, a high-quality Agile training program can offer a fantastic jump start to it.An Agile Coach encourages teams to adopt, scale-up, and thrive on Agile methods by communicating a vision on the need for Agile methodology. For a company transitioning to Agile, an Agile Coach plays the role of a trainer by offering rigorous training and hand-holding for the teams.Also, an Agile Coach plays the role of a mentor to speed up with Agile to accelerate adoption, identify, and plug knowledge gaps by deploying the right set of activities.The role of an Agile Coach further includes the responsibility of ensuring continual improvement through regular monitoring to gauge the organisational progress brought by Agile adoption.Who needs an Agile Coach?Agile teams need an environment to grow. Such an environment should comprise of respect, trust, and mutual interest. This brings in the requirement of an Agile Coach who can coach and mentor various Agile roles or a Scrum Master who has acquired the required coaching skills.Apart from the technical and business expertise, the Agile Coaches are expected to be equipped with certain unique behavioral skills like self-awareness, self-management, active listening, powerful questioning, etc. This has lead to a high demand for Agile Coaches in all the organisations across every industry around the globe. The learning objectives of ICP-ACC certificationThe major focus of the Learning Objectives (LOs) of Agile Coaching Track is on the competencies required for self, individuals, team, and program level impact. On taking up an ICP ACC certification training, you’ll learn the following:Learn to develop the Agile mindsetLearn about the roles and responsibilities of an Agile CoachLearn to mentor Agile roles and transitionsUnderstand the team dynamics and coach the team to get motivated and become self-awareLearn to handle the conflict and dysfunctions within the teamLearn team building and collaborationLearn to define the coaching contract and maintain neutralityLearn to identify and address issuesLearn to break down impediments for team successUnderstand the pillars of agility of an organisation while learning to identify systematic challengesLearn to create your personal coaching improvement backlog.Now coming to the prerequisites, you don’t need to meet any specific prerequisites to take up ICP-ACC training. But it is an added advantage for you to have a basic understanding of Agile and some work experience in an Agile team.Who can take up the ICP-ACC training?ICAgile is the certifying body for ICP-ACC certification and according to it, this certification is best pursued after Agile Team Facilitation (ICP-ATF). However, this certification can be taken up by:Agile coachesAspiring coaches with a passion for servant leadership and a desire to learn and practice facilitation, professional coaching, teaching, and mentoring in service of Agile teams.ScrumMastersIteration ManagersAgile Project ManagersWhat lies beyond ICP-ACC training?Equipping yourself with ICP-ACC training can help you to land upon a high salary job. Yes, you’ve heard it right! An Agile coach earns an average annual salary of $1448,698 in the US. Moreover, you get an opportunity to work with the top organisations around the globe, like, PepsiCo, Nissan Motors, Accenture, Wipro, and the list goes on. The following chart will give you a better understanding of the salary of Agile coaches across the globe: CountrySalary of Agile Coach (per annum)IndiaINR 21,70,944US$148,698CanadaC$101,142AustraliaAU$152,353On a concluding noteWith the frequently evolving industry trends, the demand for seasoned Agile Coach is on the rise. They are really looked up to as a change-maker who can really make a difference in an organisation’s Agile journey. This article comprises of all the information that you need to get ICP-ACC certified to embark on your journey to becoming an Agile Coach. All the best!
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Agile Coach (ICP ACC): All You Need To Know

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What is Power BI Used For - Practical Applications Of Power BI

Organizations deal with lots of data regularly. But in case you are not able to access or connect with that important data, you are not yielding anything. You are keeping your organizations away from getting the value. Microsoft Power BI will help you solve this problem with the help of a powerful business intelligence tool that mainly stresses on Visualization. Microsoft Power BI is a fundamental programming framework for organizations with huge amounts of disparate data developed during normal business operations. Power BI has numerous uses in building a software system. Let’s see the practical uses of Power BI below:Visualization = Inbuilt featureServer-Level Data ManagementAnalytics With Internal Software SystemsProvide complex data within software and appsStreamline Organizational ProcessesVisualize Details EasilyEnhance the marketingReal-Time look at the company’s financial performanceCreate Consistent Reporting Standards 1. Visualization = Inbuilt featureData Visualization is very crucial for human management in business systems. The computer programs are written in coding language whereas business people need to be able to visualize and understand the business data. Microsoft Power BI provides such tools that will let you visualize key data points accurately from various sources in a single dashboard. Power BI integration with Cortana can visualize data, interact with it in your OS, and search your data with Cortana’s powerful AI systems.2. Server-Level Data ManagementIn businesses, data comes from various sources. Most of those sources reach the server at some point. Power BI tools let you manage all the business-related data at the server level with the goal that you have more extensive and complete information systems than the data you collected from a program working on a few PCs. 3. Analytics With Internal Software SystemsYour business needs to access data from the complete software system to manage it. Power BI merges with any software platform used to manage the businesses. This consists of mail management,  social media platforms, accounting software, CRMs, and traditional data platforms like Azure and MySQL. Multiple dashboards for data management are integrated to form Integrated data management. If the businesses use integrated data management then the businesses need not use multiple dashboards for managing the data. 4. Provide complex data within software and appsPower BI takes input from various sources and provides that data in various contexts, including embedded within your own apps through API by Microsoft. Moreover, Power BI offers tools to manage businesses allowing app customization. It also provides a product value-add feature that is used to track and identify the key data sets regarding the product or service.        5. Streamline Organizational Processes The departments such as Sales, marketing, operations, HR, and so on in the organizations need their own data sets, KPIs, and their own data management systems. Power BI offers specific functionality to the businesses in the form of a data management system/app to streamline the processes from different departments. It let the businesses use the templates for intuitive dashboards and reporting systems instead of creating a system part-wise for your business. It gives your teams the capability to manage quality and efficiency without software customization. 6. Visualize Details EasilyPower BI helps businesses to check any kind of details to ensure that the business is running smoothly. While some enterprises track a small amount of inventory, some businesses track sales calls (made by the sales team members). These data sets are designed with Power BI algorithm and delivered in a readable and easily understandable format.7. Enhance the marketingBusinesses spend intensely on online marketing to attract customers. But the huge mass is failing to convert while researching the solutions to their uniques problems online. In this case, Power BI helps you create a chart to track the user behavior all through their online visit. 8. Real-Time look at the company’s financial performanceFinancial issues have an enduring effect on your organization, particularly if it's totally all of a sudden. Microsoft Power BI gives you understanding into the performance of the organizations at numerous levels. With Power BI, you can gaze into teams productivity, top-selling products, the income created by a specific division and numerous different perspectives. With Power BI, you will be able to get immediate attention on sudden financial drops and will be able to fix the issues before it turns into a huge concern.   9. Create Consistent Reporting StandardsEvery organization relies on applications from accounting to sales for their day-to-day job duties. You will not always get a reporting feature in these programs and if you get, the format varies from app to app. Using Power BI, you can pull the data and generate reports to provide you organizational standards. It is less hectic for the managers and takes less time to get the data if it is presented in the same format and style each time.Use-cases of Power BIThere is no doubt that Big Data has big potential today. Most of the companies using Power BI have started enjoying the real benefits such as higher efficiency, improved performance, and more efficient use of their data. Here are some of the real-world examples of Power BI that will tell you how companies are reaping commercial success with Power BI.1. MediaComMediaCom is the world's most famous media agency and the largest cable television provider was in need of the module that can easily measure and represent the health of a large number of diversified data sets.  For this problem, they found the solution i.e. ‘health check’ which is able to capture every surface of a multi-platform media in one single score, including paid media effectiveness, earned media effectiveness, the ratio of earned-to-paid media, realized customer value, and longitudinal performance. The feature ‘health-check’ is built on Power BI that provides a campaign dashboard, a collaborative site where the account team can ask their queries to the customers. With the adoption of Power BI, the company yielded increased optimization checks for campaigns from weekly to daily basis.     2. Carnegie Mellon UniversityCarnegie Mellon University (CMU), a global research university known for its world-class studies was looking for some option that can optimize the power (energy) and operational efficiency in buildings around the globe.The university installed a PI system and integrated automation system of the whole building. Also, they installed lights, ventilation, air quality, weather, and security data sources.   At that point, they included Power BI for Office 365 to give custom-reporting abilities to all the constant information created by the different frameworks, furnishing employees with maps, visualizations, and dashboards indicating data, for example, building types, geographic areas, and power consumption. This data empowers employees to identify the environment, and show them to reduce energy usage. With Power BI installed, CMU identified 30% less energy consumption.3. HeathrowHeathrow Airport, a UK based travel, and transportation industry uses Power BI to make the travel of the passengers less stressful. This airport uses Power BI to visualize the real-time passenger’s traffic at the airport and enable employees to be prepared with the traffic changing conditions. With Power BI adoption, they will be able to connect with a wide scope of data sources with fewer efforts and use this data to run Heathrow airport smoothly than ever before.
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Best ways to learn Apache Spark

If you ask any industry expert what language should you learn for Big Data? You will get an obvious reply to learn Apache Spark. Apache Spark is widely considered as the future of the Big Data industry. Since Apache Spark has stepped into Big data market, it has gained a lot of recognition for itself. Today, most of the cutting-edge companies like Apple, Facebook, Netflix, and Uber, etc. have deployed Spark at massive scale. In this blog post, we will understand why one should learn Apache Spark? And several ways to learn it. Apache Spark is a powerful open-source framework for the processing of large datasets. It is the most successful projects in the Apache software foundation. Apache Spark basically designed for fast computation, also which runs faster than Hadoop. Apache Spark can collectively process huge amount of data present in clusters over multiple nodes. The main feature of Apache Spark is its in-memory cluster computing that increases the processing speed of an application.Why You Should Learn Apache SparkApache Spark has become the most popular unified analytics engine for Big Data and Machine Learning. Enterprises are widely utilizing Spark which in turn is increasing demand for Apache Spark developers. Apache Spark developers are the ones earning the highest salary. IT professionals can leverage this upcoming skill set gap by pursuing a certification in Apache Spark. A developer with expertise in Apache Spark skills can earn an average salary of $78K as per Payscale. It is the right time for you to learn Apache Spark as there is a very high demand for Spark developers chances of getting a job is high.Here are the reasons why you should learn Apache Spark today:In order to go with the growing demand for Apache SparkTo fulfill the demands for Spark developersTo get benefits of existing big data investmentsResources to learn ReactTo learn Spark, you can refer to Spark’s website. There are multiple resources you will find to learn Apache Spark, from books, blogs, online videos, courses, tutorials, etc. With these multiple resources available today, you might be in the dilemma of choosing the best resource, especially in this fast-paced and swiftly evolving industry.BooksCertificationsVideosTutorials, Blogs, and TalksHands-on Exercises 1. BooksWhen was the last time you read a book? Do you have reading habits? If not, it’s the time to read the books. Reading has a significant number of benefits. Those aren’t fans of books might miss out the importance of Apache Spark. To learn Apache Spark, you can skim through the best Apache Spark books given below.Apache Spark in 24 hours is a perfect book for beginners which comprises 592 pages covering various topics. An excellent book to learn in a very short span of time. Apart from this, there are also books which will help you master.Here is the list of top books to learn Apache Spark:Learning Spark by Matei Zaharia, Patrick Wendell, Andy Konwinski, Holden KarauAdvanced Analytics with Spark by Sandy Ryza, Uri Laserson, Sean Owen and Josh WillsMastering Apache Spark by Mike FramptonSpark: The Definitive Guide – Big Data Processing Made SimpleSpark GraphX in ActionBig Data Analytics with SparkThese are the various Apache Spark books meant for you to learn. These books include for beginners and others for the advanced level professionals.2. Apache Spark Training and CertificationsOne more way to learn Apache Spark is through taking up training. Apache Spark Training will boost your knowledge and also help you learn from experience. You will be certified once you are done with training. Getting this certification will help you stand out of the crowd. You will also gain hands-on skills and knowledge in developing Spark applications through industry-based real-time projects.3. Videos:Videos are really good resources to help you learn Apache Spark. Following are the few videos will help you understand Apache Spark.Overview of SparkIntro to Spark - Brian ClapperAdvanced Spark Analytics - Sameer FarooquiSpark Summit VideosVideos from Spark Summit 2014, San Francisco, June 30 - July 2, 2013Full agenda with links to all videos and slidesTraining videos and slidesVideos from Spark Summit 2013, San Francisco, Dec 2-3-2013Full agenda with links to all videos and slidesYouTube playist of all KeynotesYouTube playist of Track A (Spark Applications)YouTube playist of Track B (Spark Deployment, Scheduling & Perf, Related projects)YouTube playist of the Training Day (i.e. the 2nd day of the summit)You can learn more on Apache Spark YouTube Channel for videos from Spark events. 4. Tutorials, Blogs, and TalksUsing Parquet and Scrooge with Spark — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan ChanUsing Spark with MongoDB — by Sampo Niskanen from WellmoSpark Summit 2013 — contained 30 talks about Spark use cases, available as slides and videosA Powerful Big Data Trio: Spark, Parquet and Avro — Using Parquet in Spark by Matt MassieReal-time Analytics with Cassandra, Spark, and Shark — Presentation by Evan Chan from Ooyala at 2013 Cassandra SummitRun Spark and Shark on Amazon Elastic MapReduce — Article by Amazon Elastic MapReduce team member Parviz DeyhimSpark, an alternative for fast data analytics — IBM Developer Works article by M. Tim Jones 5. Hands-on ExercisesHands-on exercises from Spark Summit 2014 - These exercises will guide you to install Spark on your laptop and learn basic concepts.Hands-on exercises from Spark Summit 2013 - These exercises will help you launch a small EC2 cluster, load a dataset, and query it with Spark, Spark Streaming, and MLlib.So these were the best resources to learn Apache Spark. Hope you found what you were looking for. Wish you a Happy Learning!
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Best ways to learn Apache Spark
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Best ways to learn Apache Spark

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SSRS Vs Power BI

SSRS and Power BI are both Business Intelligence tools specially designed to present data to the end user. Since both are part of the Microsoft BI stack, they are equipped with a different set of audiences and applied in different practices.Before we discuss the differences between the two, let’s first understand each of these clearly.What is SSRS?SQL Server Reporting Services (SSRS) is a server-based comprehensive extensible reporting platform that comes free with SQL Server 2012. It is one of the most powerful tools for several years. There are many features that can be used to create reports that suit customer requirements. The SSRS service provides an interface into Microsoft Visual Studio so that it can be connected to the SQL databases and use SSRS tools to format SQL in various complex ways.What is Power BI?Power BI is a business analytics service provided by Microsoft. It is a collection of apps, connectors, and software services that work together to turn your unrelated sources of data into coherent. Power BI lets you easily connect to your data sources and analyze what is important. It allows the user to have access to reports and personalized dashboards which provides a complete 360-degree view of the business from all the diverse sources.Main Differences Between Microsoft Power BI and SSRSFollowing are the major differences between “Microsoft Power BI and SSRS”BasisSSRSMicrosoft Power BIHistorySSRS was first introduced in the year 200 which provides a unified, server based, and scalable platform through which all the business reporting needs can be satisfied.Power BI report server is a cloud-based business analytics service introduced in the year 2017 for analyzing and visualizing data introduced in 2017.LicenseIt is paid device.It is free to utilize which will also reduce the acquisition barriers.ApplicabilitySSRS is used for producing the server-based reports.Power BI is used to produce cloud-based and server-based reports.DependencySSRS can work with structure and semi-structure of information.Power BI can manage structured and unstructured data. One of the best features of Power BI is the ability to save data to Excel.ConvenienceAccess to web and work area.Power BI can utilize through the work area, web, and mobile applications.ComponentSSRS is an enterprise visualization tool based on old technology.Power BI is HTML 5 open source app-enabled and cloud-enabled SAAS.NatureBecause of its rich graphical component, it is easy user-friendly.Power BI is less user-friendly.ImplementationSSRS implementation is complex compared to Power BI.Power BI uses cloud storage and simple implementation process.Size limitThere is no limit for the size of a data set.Whereas, it has a limit of 1GB data in the free version. You can create multiple datasets in it.SSRS and Power BI are the two leading business intelligence tools that organizations use around the globe designed to present data to the end user. Both are part of the Microsoft BI stack and geared towards different audiences and intended to be consumed in different manners. SSRS is a server-based reporting platform that provides comprehensive reporting functionality for a variety of data sources where Power BI is a cloud-based service. Since Power BI is meant for an advanced and modern solution it invites users to get started with it themselves rather than SSRS. The users who are only concerned with reports can opt for SSRS. But, if the users need more insight then it’s good to go with Power BI. It’s not about the tool, but it’s all about the impact that we achieve.The following image will help you understand better the differences between Microsoft Power BI and SSRSYou can also understand the differences between Power BI and Tableau here.Why SSRSFollowing are the few main reasons to choose SSRS:SSRS allows better and more accurate decision-making mechanism for the usersIt allows users to interact with information without involving any IT professionalsIt is an intensified tool compared to other crystal reportsIt provides a host of security featuresWhy do we need Power BI?Here are some of the key benefits of using Power BI:A large amount of data can be processedHelps in transforming your enterprise data into rich visualsLess engineering resources to useIt can be embedded into your own custom appsConclusionThe choice between Power BI and SSRS can be decided completely based on requirements. It depends on your organization if it used paginated reports on premises then SSRS will be a more cost-effective option. On the other hand, if you already have SQL Server Enterprise Edition with Software Assurance then Power BI Reporting Services will likely to be your preferred choice.Do you want to create dashboards and reports automatically without having to depend on information technology staff or database administrators? Don't waste any more time you can take up Power BI course!. This Power BI training will definitely help you in creating outstanding reports!
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SSRS Vs Power BI
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SSRS Vs Power BI

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Scrum Master Certification Cost

Over the past few years, the job market has witnessed an exponential growth in the demand for Scrum Master professionals. Getting a certification for the same will help you reach milestones in your career. Becoming a certified professional will not just help you grow in your career, but you can also draw a higher salary from your organisation.With varied certifications available to opt for, you might be confused on which to decide on. But, fret no more! Help yourself with the following compilation of Scrum Master certifications and their costs, which includes the cost of certification as well as their renewal costs. The following table lists the certifications with their cost and renewal cost for different certifications. Sr. No.CertificationCost of CertificationRenewal Cost1.CSM2-day Certified ScrumMaster (CSM) course costs around $1000-$1400$100 and 20 SEUs, every two years2.PSM$350 if opting for training, depending on the training provider$150, if opting for the examinationNot required, has lifetime validity.3.SAFe® Scrum Master$995-$1,295, which includes the mandatory course fee as well as the exam fee.Each retake after the first attempt costs $50.Not required, has lifetime validity.4.EXIN Agile Scrum MasterThe examination cost comes around $260.$100, every year.5.Scrum Master Certified (SMC™)The examination cost comes around $450.Maintain a minimum of 40 Recertification Units (RCUs) every three years.6.Scrum Master Accredited Certification™$69Not required, has lifetime validity.Read along to know more on the Scrum Master certifications listed above in the table. The main objective of the same is to provide you with an in-depth knowledge of the cost of the various Scrum Master Certifications as well as their renewal costs.   1. Certified ScrumMaster (CSM)Certified ScrumMaster (CSM) is the most widely acknowledged Scrum Master certification. To attain the Certified ScrumMaster (CSM) certification, you will be required to attend a 2-day classroom training, following which you will have to take an online test. Certified ScrumMaster Certification CostDepending on where you choose to get your training from, the 2-day Certified ScrumMaster (CSM) course costs around $1000-$1400. This cost covers the following:The 2-day courseFirst two years of certification Two attempts to take the exam (within 90 days of attending the course) Course materials which will be provided by the instructor in the class Two-year membership to the Scrum Alliance community Certified ScrumMaster (CSM) Renewal costYou need to renew your CSM credentials by paying a renewal fee of $100 and earning 20 Scrum Educational Units (SEUs). This renewal fee includes the Scrum Alliance membership fee, which has a validity of two years. CertificationCost of CertificationRenewal CostCSM2-day Certified ScrumMaster (CSM) course costs around $1000-$1400$100 and 20 SEUs, every two years2. Professional Scrum Master™ (PSM)Offered by Scrum.org, Professional Scrum Master™ certification is highly sought after. It is a 2-day long course that covers the principles and process theory of the Scrum framework, along with the roles of a Scrum Master. The Professional Scrum Master™ assessment is available for anyone who wishes to exhibit their fundamental level of Scrum mastery.Professional Scrum Master™ Certification CostIf you feel that you have a high level of Scrum knowledge, understand the Scrum Guide and the process to apply Scrum within Scrum Teams, then taking the course is optional. You can take the PSM I assessment directly, which costs $150 per attempt. But if you choose to attend the 2-day training, then the exam fee will be included in the course price, which costs around $350, depending on the training provider. You’ll have two attempts to clear the exam if you choose to attend the training, as opposed to the one chance that you will get when attempting without any training. Professional Scrum Master™ Renewal CostCertifications provided by Scrum.org hold a lifelong validity. Hence, PSM certification does not require any additional payment or renewal. CertificationCost of CertificationRenewal CostPSM$350 if opting for training, depending on the training provider$150, if opting for the examinationNot required, has lifetime validity.3. SAFe® Scrum MasterBy attending a 2-day course, gain a proper understanding of the roles of a Scrum Master in a SAFe® environment. Explore the roles of a Scrum Master at an enterprise level and learn ways to execute the Program Increment successfully. Learn various approaches to become a servant leader and coach in order to build high performing Agile teams.The SAFe® Scrum Master certification is accredited by Scaled Agile.SAFe® Scrum Master Certification Cost:The course registration fee includes the first attempt of the exam, provided the exam is taken within 30 days of completion of the course, after which each retakes attempt costs $50.The certification costs for around $995 - $1,295, which includes the mandatory course fee as well.SAFe® Scrum Master Renewal Cost:SAFe® certifications are valid for one year. After completion of the first year, you will have to get your certification renewed by paying a renewal fee of $100. CertificationCost of CertificationRenewal CostSAFe® Scrum Master$995-$1,295, which includes the mandatory course fee as well as the exam fee.Each retake after the first attempt costs $50.Not required, has lifetime validity.4. EXIN Agile Scrum Master (ASM)The EXIN Agile Scrum Master certification stands unique dues to its combination of Scrum practices and Agile methodologies with practical assignments. The certification tests the proficiency of a Scrum Master, who coaches, facilitates and enables a cross-functional team. Professionals belonging to the fields of business management, IT project management, software development, IT service management can opt for the EXIN Agile Scrum Master certification. EXIN Agile Scrum Master certification Cost: The examination cost for EXIN Agile Scrum Master certification comes around $260, without any training. If in case you decide to opt for the training course, it will include the exam fee as well.EXIN Agile Scrum Master Renewal Cost: There isn’t any renewal cost for EXIN Agile Scrum Master certification as it has lifetime validity.CertificationCost of CertificationRenewal CostEXIN Agile Scrum MasterThe examination cost comes around $260.$100, every year.5. Scrum Master Certified (SMC™):It is the responsibility of a SMC™ professional to ensure that the Scrum Team is working under proper conditions which helps teams in completing projects in a successful manner. He has to make sure that the Scrum process is being followed, along with guiding, facilitating and teaching scrum practices to all the members involved in the project.The Scrum Master Certified (SMC™) certification is accredited by SCRUMstudy.Scrum Master Certified (SMC™) Certification Cost:The cost of SMC™  certification examination is $450.Scrum Master Certified (SMC™) Renewal Cost:To maintain your certification, you need to maintain a minimum of 40 Recertification Units (RCUs) every three years.CertificationCost of CertificationRenewal CostScrum Master Certified (SMC™)The examination cost comes around $450.Maintain a minimum of 40 Recertification Units (RCUs) every three years.6. Scrum Master Accredited Certification™Accredited by the International Scrum Institute™, the Scrum Master Accredited Certification™  Program is an online test examination which can be taken from anywhere in the world. It has a success rate of 98%.Scrum Master Accredited Certification™ Cost:The certification and test costs for Scrum Master Accredited Certification is $69. There are no other hidden costs or fee involved. CertificationCost of CertificationRenewal CostScrum Master Accredited Certification™$69Not required, has lifetime validity.
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Scrum Master Certification Cost
Blogs
8658
Scrum Master Certification Cost

Over the past few years, the job market has witnes... Read More