Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 41 Minute(s)
Language
English
Taught by
Lead Big Data Engineer
Rating
Course Overview
Learn Complete Big Data Testing (Spark + MongoDB + Hadoop + Hive + Cassandra + HBase + Redis + Beeline) with Examples
This course is specially designed for All profile students i.e. developers and testers who wanted to build their career into Big Data Arena in Real World. So I have designed this course so they can start working with All Big Data Related Tools and technologies i.e. Hadoop, Hive, Pig, HBASE, CASSANDRA, MONGODB, REDIS in complete Big Data. All the users who are working or looking their career in Big Data profile in Big Data and wanted to move into Testing domain should take this course and go through the complete tutorials which has beginner to advance knowledge.
I have included the material which is needed for big data testing profile and it has all the necessary contents which is required for learning All Big Data Related Tools and technologies like Hadoop and Hive with different big data databases i.e. HBase, Cassandra, MongoDB + Redis in complete Big Data environment.
It will give the detailed information for different Commands and Queries which are used in development and testing All Big Data Related Tools and technologies including different databases applications in complete queries/commands which is needed by the tester to move into bigger umbrella i.e. Big Data Ecosystems Environment.
This course is well structured with all elements of different All Big Data Related Tools and technologies databases i.e. Haoop , Hive , HBase + Cassandra + MongoDB + Redis in complete big data with advance commands in practical manner separated by different topics. Students should take this course who wanted to learn End to End Big Data Ecosystem Technologies including different databases in complete big data from scratch.
Course Content
- 12 section(s)
- 103 lecture(s)
- Section 1 Course Introduction
- Section 2 Cloudera Setup Process
- Section 3 Important HDFS Commands for Hadoop Execution
- Section 4 HIVE Introduction with Practicals
- Section 5 Cassandra Introduction with Practicals
- Section 6 MongoDB Introduction with Practicals
- Section 7 Redis Introduction with Practicals
- Section 8 HBase Introduction with Practicals
- Section 9 Spark and Scala Introduction with Practicals
- Section 10 PIG Scripting Introduction with Practicals
- Section 11 Introduction with Beeline
- Section 12 Collections In Cassandra
What You’ll Learn
- By the end of this course, students will have a strong understanding of Redis, Oozie, and HBase, including advanced queries and commands required for testers, At the end of this tutorial, students would be able to start their career in Development or Testing with this technology at different levels., Learners will become familiar with core Hadoop concepts along with Hive for data warehousing, and multiple NoSQL databases such as HBase, Cassandra, Redis., With hands-on knowledge and practical exposure, participants will be well prepared to begin working confidently in Big Data development or testing roles
Skills covered in this course
Reviews
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RRodrick
good start... excellent covered contents.
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TTodd Shen
so far, very clearly explained what hadoop is
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BBryce Macher
This instructor is possibly a fraud. His description of the hadoop ecosystem is misleading, and at best reflects a lack of expertise in dealing with these technologies. Udemy should review this asap, and prevent other people from wasting money or free course certificates.
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SSrinivasarao Ravulapalli
we are expecting more about hadoop related information but its seems different courses included in this . so we are expecting only related to Big Data Hadoop related training's ...
