At the crux of data analysis is the ability to decipher raw data, process it and arrive at meaningful and actionable insights that can shape business strategies. According to the latest research, nearly 2.5 quintillion bytes of data is created every day, and the number is slowly edging upwards. The storage and processing power needed to handle these large volumes of data cannot be handled in an efficient manner with traditional frameworks and platforms. So, there arose a need to explore distributed storages and parallel processing operations in order to understand and make sense of these large volumes of data or big data. Hadoop by Apache provides the much-needed power that is required to manage such situations to handle Big Data. Based on data produced by Wanted analytics it was found out that the top five industries hiring Big Data related expertise include Professional, Scientific and Technical Services (25%), Information Technology (17%), Manufacturing (15%), Finance and Insurance (9%) and Retail Trade (8%).
Simply put, big data would be the problem and Hadoop would be one of the solutions leveraged to make sense of it. With the inclusion of a much needed HDFS component, the distributed storage problem is taken care of while the MapReduce component optimizes parallel data processing. According to Gartner data, nearly 26% of the analysts are leveraging Hadoop in their daily tasks which makes it imperative to learn the platform and stay ahead of the curve. In addition to its ability to handle concurrent tasks, Hadoop is scalable and cost-effective as well, making the lives of analysts much easier than before.
With most businesses facing a data deluge, the Hadoop platform helps in processing these large volumes of data in a rapid manner, thereby offering numerous benefits at both the organization and individual level.
Undergoing training in Hadoop and big data is quite advantageous to the individual in this data-driven world:
Training in Big Data and Hadoop has certain organizational benefits as well:
Given the ease with which it allows you to make sense of huge volumes of data and leverage frameworks to transform the same into actionable insights, training and certification courses for Hadoop & Big Data are in great demand in the field of data science.
Understand what Big Data is and gain in-depth knowledge of Big Data Analytics concepts and tools.
Learn to Process large data sets with Big Data tools to extract information from disparate sources.
Learn about MapReduce, Hadoop Distributed File System (HDFS), YARN, and how to write MapReduce code.
Learn best practices and considerations for Hadoop development as well as debugging techniques.
Learn how to use Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, among other projects.
Perform real-world analytics by learning advanced Hadoop API topics with an e-courseware.
Before undertaking a Big Data and Hadoop course, a candidate is recommended to have a basic knowledge of programming languages like Python, Scala, Java and a better understanding of SQL and RDBMS.
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest training!
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
This module will introduce you to the various concepts of big data analytics, and the seven Vs of big data—Volume, Velocity, Veracity, Variety, Value, Vision, and Visualization. Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3.
Hands-on: No hands-on
Here you will learn the features in Hadoop 3.x and how it improves reliability and performance. Also, get introduced to MapReduce Framework and know the difference between MapReduce and YARN.
Hands-on: Install Hadoop 3.x
Learning Objectives: Learn to install and configure a Hadoop Cluster.
Hands-on: Install and configure eclipse on VM
Learn about various components of the MapReduce framework, and the various patterns in the MapReduce paradigm, which can be used to design and develop MapReduce code to meet specific objectives.
Hands-on :Use case - Sales calculation using M/R
Learn about Apache Spark and how to use it for big data analytics based on a batch processing model. Get to know the origin of DataFrames and how Spark SQL provides the SQL interface on top of DataFrame.
Look at various APIs to create and manipulate DataFrames and dig deeper into the sophisticated features of aggregations, including groupBy, Window, rollup, and cubes. Also look at the concept of joining datasets and the various types of joins possible such as inner, outer, cross, and so on
Understand the concepts of the stream-processing system, Spark Streaming, DStreams in Apache Spark, DStreams, DAG and DStream lineages, and transformations and actions.
Hands-on: Process Twitter tweets using Spark Streaming
Learn to simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig.
Learn about the tools to enable easy data ETL, a mechanism to put structures on the data, and the capability for querying and analysis of large data sets stored in Hadoop files.
Look at demos on HBase Bulk Loading & HBase Filters. Also learn what Zookeeper is all about, how it helps in monitoring a cluster & why HBase uses Zookeeper.
Learn how to import and export data between RDBMS and HDFS.
Understand how multiple Hadoop ecosystem components work together to solve Big Data problems. This module will also cover Flume demo, Apache Oozie Workflow Scheduler for Hadoop Jobs.
Learn to constantly make sense of data and manipulate its usage and interpretation; it is easier if we can visualize the data instead of reading it from tables, columns, or text files. We tend to understand anything graphical better than anything textual or numerical.
Hands-on: Use Data Visualization tools to create a powerful visualization of data and insights.
Learn a simple way to access servers, storage, databases, and a broad set of application services over the internet.
Hands-on: Implement Cloud computing and deploy models.
Aadhar card Database is the largest biometric project of its kind currently in the world. The Indian government needs to analyse the database, divide the data state-wise and calculate how many people are still not registered, how many cards are approved and how they can bifurcate it according to gender, age, location, etc.
The Citi group of banks is one of the world’s largest providers of financial services, In recent years, they adopted a fully Big Data-driven approach to drive business growth and enhance the services provided to customers because traditional systems are not able to handle the huge amount of data pouring in. Using Hadoop, they will be storing and analyzing banking data to come up with multiple insights.
On Ecommerce Web sites, clickstream analysis is the process of collecting, analyzing and reporting aggregate data about which pages a website visitor visits and in what order. With increasing number of ecommerce businesses, there is a need to track and analyse clickstream data. When using traditional databases to load and process clickstream data, there are several complexities in storing and streaming customer information and it also requires a huge amount of processing time to analyse and visualize it.
The syllabus and the curriculum gave me all I required and the learn-by-doing approach all through the boot camp was without a doubt a work-like experience!
I know from first-hand experience that you can go from zero and just get a grasp on everything as you go and start building right away.
Everything from the course structure to the trainer and training venue was excellent. The curriculum was extensive and gave me a full understanding of the topic. This training has been a very good investment for me.
My special thanks to the trainer for his dedication and patience. I learned many things from him. I would also thank the support team for their help. It was well-organised, great work Knowledgehut team!
I would like to extend my appreciation for the support given throughout the training. My special thanks to the trainer for his dedication, and leading us through a difficult topic. KnowledgeHut is a great place to learn the skills that are coveted in the industry.
The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions were precise and comprehenisve. Thanks to KnowledgeHut. Looking forward to more such workshops.
KnowledgeHut has excellent instructors. The training session gave me a lot of exposure to test my skills and helped me grow in my career. The Trainer was very helpful and completed the syllabus covering each and every concept with examples on time.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut staff was friendly and open to all questions.
Hadoop has now become the de facto technology for storing, handling, evaluating and retrieving large volumes of data. Big Data analytics has proven to provide significant business benefits and more and more organizations are seeking to hire professionals who can extract crucial information from structured and unstructured data. KnowledgeHut brings you a full-fledged course on Big Data Analytics and Hadoop development that will teach you how to develop, maintain and use your Hadoop cluster for organizational benefit.
This course will prepare you for everything you need to learn about Big Data while gaining practical experience on Hadoop.
After completing our course, you will be able to understand:
There are no restrictions but participants would benefit if they have elementary computer knowledge.
Yes, KnowledgeHut offers this training online.
Your instructors are Hadoop experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details:https://www.knowledgehut.com/refund-policy
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
With nearly 32% of the people holding degrees, Ottawa has more than its fair share of engineers, lawyers and doctors. The city has flourished since the 90s and has become a beacon of growth and development in Canada, correctly forecasting trends in technology and then building on it. With the city€™s investments in infrastructure and talent, it has become an incubation centre for scores of start-ups in the Data Science field. Once again the city is capitalising on this new and exciting field, thereby increasing the competition for employment in this space by tenfold. Ensure that you always are a step ahead and stay a cut above the rest, which is quite important in such a fast-paced job environment. Enrol with the big data and hadoop Certification in ottawa, provided by KnowledgeHut institute today!
If you are looking for a holistic course on big data to capitalise on the demand then the big data and hadoop Online course in ottawa is perfect for you. The various aspects of the course, such as the module on extracting information with Hadoop MapReduce, will ensure you understand all nuances of the framework. With the global market for Hadoop expected to balloon to $9.4bn by 2024, taking this course will help ensure you stay employable and open to job offers. You can sign up for a quick demo to find out more about the cost, schedule and availability of our Big Data & Hadoop certification in Ottawa.
If you are a data scientist or a data architect working with big data in a Hadoop ecosystem then this course is something you should consider taking. It will also have modules which are specifically designed to train you in developing Java MapReduce applications for Hadoop 2.0. All this spread across 30 hours of live training in a real-world environment with 80 hours€™ worth of MCQs and assignments as well. This will ultimately help you perform real-world analytics leveraging the advanced Hadoop framework. Additionally, you get access to all the e-courseware which has been painstakingly curated and edited to be enclosed within the big data and hadoop online course in Ottawa by our vast staff of highly experienced teachers and trainers.
With online live classrooms, learn the nuances thoroughly before trying your hands on some real live project. Through multiple case-studies learn coding practices which are the best in the industry and will also help you for a very long time in making your application more robust and flexible.
So why wait any longer? Register for the Big Data & Hadoop training course in Ottawa today!