Big Data Hadoop Certification Training Course
Details
Key Features of Big Data Hadoop Certification Training Course
- 48 hours of instructor-led training
- 24 hours of self-paced video
- 5 real-life industry projects using Hadoop and Spark
- Training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
- Lifetime access to self-paced learning
- Aligned to Cloudera CCA175 certification exam
The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include:
Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research
Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
Hadoop Administrators in the US receive salaries of up to $123,000 – indeed.com
The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just
be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry
level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of data scientists say there is currently a
shortage of professionals working in the field.
Why should you take our Big Data and Hadoop Course?
The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored
in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.
You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.
As a part of the Big Data course, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare
you for the Cloudera CCA175 big data certification.
What skills will you learn in this Big Data Hadoop Training?
Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:
- Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
- Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
- Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
- Ingest data using Sqoop and Flume
- Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
- Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
- Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
- Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
- Gain a working knowledge of Pig and its components
- Do functional programming in Spark, and implement and build Spark applications
- Understand resilient distribution datasets (RDD) in detail
- Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
- Understand the common use cases of Spark and various interactive algorithms
- Learn Spark SQL, creating, transforming, and querying data frames
- Prepare for Cloudera CCA175 Big Data certification
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
- Software Developers and Architects
- Analytics Professionals
- Senior IT professionals
- Testing and Mainframe Professionals
- Data Management Professionals
- Business Intelligence Professionals
- Project Managers
- Aspiring Data Scientists
- Graduates looking to build a career in Big Data Analytics
The jobs that require Big Data Hadoop trained professionals include:
- IT professionals
- Data scientists
- Data engineers
- Data analysts
- Project managers
- Program managers
Outline
Lesson 01 - Introduction to Big data and Hadoop Ecosystem
Lesson 02 - HDFS and YARN
Lesson 03 - MapReduce and Sqoop
Lesson 04 - Basics of Hive and Impala
Lesson 05 - Working with Hive and Impala
Lesson 06 - Types of Data Formats
Lesson 07 - Advanced Hive Concept and Data File Partitioning
Lesson 08 - Apache Flume and HBase
Lesson 09 - Pig
Lesson 10 - Basics of Apache Spark
Lesson 11 - RDDs in Spark
Lesson 12 - Implementation of Spark Applications
Lesson 13 - Spark Parallel Processing
Lesson 14 - Spark RDD Optimization Techniques
Lesson 15 - Spark Algorithm
What’s next?
Lesson 16 - Spark SQL
Projects
FREE COURSES
- Apache Kafka
- Core Java
Speaker/s
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Special Offer
Course link: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
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