Big Data and Hadoop from Scratch

About this Course:

This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well.

Students will be Able to crack Cloudera CCA 175 Certification after successful completion and with little practice.

Tools covered:

• Sqoop
• Flume
• MapReduce
• Hive
• Impala
• Beeline
• Apache Pig
• HBase
• OOZIE
• Project on a real data set

Basic knowledge:

• Well, for Big Data Analytics Core Java, My SQL is required, but if am your trainer, there are no prerequisites as I will be teaching everything from scratch

Who is the target audience?

Any one who desires to learn it.

Course Completion Certificate

What you will learn:

• Able to transfer Big Data from traditional database to your Hadoop Envirnment(HDFS)
• be able to do all the required analytical jobs with HIVE, IMPALA and BEELINE on the BIG DATA provided to you, which will give you a real experience of how things work in a company
• Learn the most leading tools of Hadoop like: SQOOP, HIVE, IMPALA, BEELINE, MAPREDUCE, PIG, HBASE. OOZIE, YARN, etc
• Be ready for clearing the section of HADOOP in the CLOUDERA CCA175 CERTIFICATION

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.