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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.
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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.
Learning objectives:
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.
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Hands-on: No hands-on
Learning Objectives:
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.
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Hands-on: Install Hadoop 3.x
Learning Objectives: Learn to install and configure a Hadoop Cluster.
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Hands-on: Install and configure eclipse on VM
Learning Objectives:
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.
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Hands-on :Use case - Sales calculation using M/R
Learning Objectives:
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.
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Hands-on:
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
Learning Objectives:
Understand the concepts of the stream-processing system, Spark Streaming, DStreams in Apache Spark, DStreams, DAG and DStream lineages, and transformations and actions.
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Hands-on: Process Twitter tweets using Spark Streaming
Learning Objectives:
Learn to simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig.
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Learning Objectives:
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.
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Learning Objectives:
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.
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Learning Objectives:
Learn how to import and export data between RDBMS and HDFS.
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Learning Objectives:
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.
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Learning Objectives:
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.
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Hands-on: Use Data Visualization tools to create a powerful visualization of data and insights.
Learning Objectives:
Learn a simple way to access servers, storage, databases, and a broad set of application services over the internet.
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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.
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.
Everything was well organized. I would definitely refer their courses to my peers as well. The customer support was very interactive. As a small suggestion to the trainer, it will be better if we have discussions in the end like Q&A sessions.
I am glad to have attended KnowledgeHut's training program. Really I should thank my friend for referring me here. I was impressed with the trainer who explained advanced concepts thoroughly and with relevant examples. Everything was well organized. I would definitely refer some of their courses to my peers as well.
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!
The workshop was practical with lots of hands on examples which has given me the confidence to do better in my job. I learned many things in that session with live examples. The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.
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.
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.
This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.
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
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our 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.
Minimum Requirements:
Hyderabad is the capital city of the state of Telangana. The city is the fourth most populous city of India. This city is very developed with almost all the necessary facilities. Defense Research and Development Organization and Bharat Heavy Electricals Limited are some major organisations in Hyderabad. The city has a special economic zone that has encouraged many IT giants from India and the world to have their centres in Hyderabad. Many of the major IT giants have their branches there. We all are well known for the importance of Big Data in today's tech world. The city has well understood its importance of Big Data Analytics. Thus, here we provide an opportunity to undergo big data and hadoop training in hyderabadoffered by KnowledgeHut academy.
According to research, about 2.5 quintillion bytes of data are created every year. And storage has been a big problem for every industry. The traditional framework we use is unable to handle this data efficiently and effectively. So Big Data Analytics was used to solve this problem of data. Hadoop from Apache is working to manage and handle Big Data. The importance of the Big Data Analytics and introduction to Hadoop in big data is known to all. So at big data and hadoop Course in hyderabad, you get to learn about Hadoop framework. Through this course, you will learn the fundamentals of big data and Hadoop, along with many other important topics. You will also be taught about debugging techniques along with Hadoop API topics. The most interesting thing you learn in this course will be the MapReduce process, and also you will be trained to write MapReduce codes. This Big data & Hadoop Course in Hyderabad will help you touch infinite boundaries in terms of opportunities. So sign up right away for a demo and know more about the cost, availability, and schedule for this life-changing Big data and Hadoop training program.
There is a huge demand for experts with knowledge of big data and Hadoop. According to some reports, people with knowledge of Big Data and Hadoop are well employed with good salaries. By undergoing this course, you will enhance and boost your career as more organisations work with big data. Candidates with good knowledge and experience on Hadoop are more in demand in various industries. Hadoop framework allows an organisation to run applications on thousands of nodes, which increases the demand for professionals with its knowledge. This Big data & Hadoop Training course allows an individual to perform real-world analytics by learning advanced Hadoop API topics. Our academy helps you with the best practices and considerations for Hadoop development systems.
Here at KnowledgeHut, we have very energetic and highly experienced tutors from well-known and prestigious institutions. You will be provided with a curriculum designed by major experts from the market. Our courses are always updated and refreshed. We provide you with 30 hours of live sessions and 28 hours of hands-on experience related to the topic. You will be doing 3 project works and will be provided with 80 hours of assignments and MCQs that allows you to understand the topic more. We make sure that our tutors will always be there for you to solve your basic to advanced level of problems. At KnowledgeHut, we make you familiar to Big data and the seven Vs of big data, i.e. velocity, variety, volume, veracity, vision, visualisation and value. This course provides an individual and industrial benefit to your career. You will also be provided with materials that you can download anytime anywhere that surely will upgrade your skills.
So gear up and register now for Big data & Hadoop in Hyderabad.
