Big Data Hadoop Certification Training
About the Training
This Big Data Hadoop training is designed to make you a certified Big Data Hadoop practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get edureka Hadoop certification after the project completion.
The edureka hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to-
- Master the concepts of HDFS and MapReduce framework
- Understand Hadoop 2.x Architecture
- Setup Hadoop Cluster and write Complex MapReduce programs
- Learn data loading techniques using Sqoop and Flume
- Perform data analytics using Pig, Hive and YARN
- Implement HBase and MapReduce integration
- Implement Advanced Usage and Indexing
- Schedule jobs using Oozie
- Implement best practices for Hadoop development
- Understand Spark and its Ecosystem
- Learn how to work in RDD in Spark
- Work on a real life Project on Big Data Analytics
Why Learn Big Data and Hadoop ?
Big Data represents large and rapidly growing volume of information such as high-volume sensor data and social networking data from web sites – Facebook and Twitter to name a few. Many Organizations are keen in capturing this data and analyzing the same as this can add immense value to make appropriate strategic decisions. However, it is important to note that such big data comes in many forms.
It also has many different uses – real-time fraud detection, web display advertising and competitive analysis, call center optimization, social media and sentiment analysis, intelligent traffic management and smart power grids, and so on. All of these also involve growing volumes of structured, multi-structured, and un-structured data.
Analyzing these were not possible previously because they were too costly to implement, or because analytical processing technologies were not capable of handling the large volumes of data involved in a timely manner. New and evolving analytical processing technologies, such as Big Data and Hadoop, now make this analyses possible.
Who should go for this Course?
Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals.
Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain:
- Developers and Architects
- BI /ETL/DW professionals
- Senior IT Professionals
- Testing professionals
- Mainframe professionals
Hadoop practitioners are among the highest paid IT professionals today with salaries ranging till $85K (source: indeed job portal), and the market demand for them is growing rapidly.
You can check a blog related to Why Choose Hadoop As a Career? Also, once your Hadoop training is over, you can check the Top interview questions related edureka blog.
Realtime Analytics is the new market buzz and having Apache Spark skills is a highly preferred learning path after the Hadoop training. Check out the upgraded Spark Course details.
What are the pre-requisites for this Course?
As such, there are no pre-requisites for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush-up Core-Java skills, Edureka offer you a complimentary self-paced course, i.e. “Java essentials for Hadoop” when you enroll in Big Data Hadoop Certification course.
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