It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn big data and Hadoop Modules. This is an industry recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. This Cloudera Hadoop training will prepare you to clear big data certification.
The Big Data Hadoop Certification course is specially designed to provide you deep knowledge of the Big Data framework by using the Hadoop and Spark, including HDFS, YARN, and MapReduce. You will come to know how to use Pig, Impala to procedure and analyse large datasets stored in the HDFS, and usage Sqoop and Flume for data absorption along with our big Data training. With our big data course, you will also able to learn the multiple interactive algorithms in Spark and use Spark SQL for creating, transforming and querying data forms. This is guarantee that you will become master real- time data processing by using Spark, including functional programming in Spark, implementing Spark application, using Spark RDD optimization techniques and understanding parallel processing in Spark.
Curriculum
MODULE 1: HADOOP CONCEPTS AND EVOLUTION
- Brief background of Hadoop
- Linux Essentials
- Python Essential
- Hadoop Distributed File System(HDFS)
- Apache Hadoop and evolution
- Introduction to Map Reduce & MapReduce Programming with Python
- Introduction to Apache Pig and Apache Pig with Hands On
- Introduction to Apache Hive and Apache Hive with Hands On
MODULE 2: BIG DATA Advance
- Introduction to NoSQL and Hbase
- Hbase Hands On
- Apache Sqoop
- Apache Flume
- Apache Impala
- Apache Oozie
MODULE 3: Big Data Super Advance
- Scala Essentials
- Introduction to Spark
- Spark Programming
- Spark SQL
- Apache Kafka
- Spark Streaming
- Spark MLib Basics.
Banefits
Course Benefits
- Authenticates your hands-on experience dealing with Big Data.
- Gives an edge over other professionals in the same field, in term of pay package.
- During IJPs, Hadoop Certification helps you move up the ladder and accelerates your career.
- Helpful for People are trying to transition into Hadoop from different technical backgrounds.
- The certification helps to speak more confidently about this technology at my company when networking with others.
- Job postings and recruiters are looking for candidates with Hadoop certification. This is a definite advantage over a candidate without Hadoop certification.
- McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
- Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes
Faq's
1. WHAT IS THE BACKGROUND REQUIRED TO LEARN HADOOP?
- This course is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets. However, basic understanding of Java or some programming is recommended.
2. I AM NOT FROM TECHNICAL BACKGROUND. WILL LEARNING HADOOP HELP ME?
- It is not mandatory that you need a technical background to learn Hadoop. If you have a need to derive insights from large volume of data in your current job or if you like to switch to a career in Data Science or Analytics, this course will help you.
3. I AM FRESH OUT OF COLLEGE. WILL A CERTIFICATION IN BIG DATA & HADOOP HELP ME GET A JOB?
- A certification in Big Data & Hadoop can definitely complement your job search. However having a few years’ experience will be an added advantage for most of the practical implementation of Hadoop.
4. I AM A SYSTEM/DATABASE ADMINISTRATOR. WILL LEARNING HADOOP HELP ME?
- Definitely! In fact you can consider Hadoop Administration roles who manages infrastructure, Hadoop Clusters etc.
5. DO I NEED TO KNOW JAVA FOR LEARNING HADOOP?
- While a basic working knowledge of Java will be of help, it is not mandatory to know Java programming for learning Hadoop. Some of the Hadoop components like Pig, Hive etc. can be learned without knowledge of Java. There are some rare requirements to use Java which can be learned easily.
6. WHAT ALL WILL LEARN FOR THIS TRAINING?
- The purpose of the course is to provide high level understanding and the capabilities of Hadoop (MapReduce, HDFS), Hive, HBase, Pig, Sqoop, Scala & Spark for processing large volume of data workloads with various industry use cases.
