Find online courses made by experts from around the world.
Take your courses with you and learn anywhere, anytime.
Learn and practice real-world skills and achieve your goals.
Big Data is the new Buzz work connecting the new trends of data analytics. Data management has shifted its focus from an important competency to a critical differentiator that can determine market winners. So to run along with latest trends check out this course to understand basics of Big Data.
Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great.
This course is intended for people who wants to know what is big data.
the course covers what is big data, How hadoop supports concepts of Big Data and how different components like Pig, Hive, sqoop, Hbase, Flume & MapReduce of hadoop support large sets of data Analytics.
Couse https://www.udemy.com/overview-of-big-data-hadoop/#/ is a prerequisite to this course and is available for Free on UDEMY
Not for you? No problem.
30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Introduction:|
Intro to Hadoop Eco SystemPreview
|Section 2: Prerequisites|
Intro To Core JavaPreview
Intro to Linux & Unix
Linux Practicals 1
Linux Practical 2
Linux Practical 3
Intro to Python
|Section 3: Installation|
Hadoop Installation Part 1Preview
Hadoop Installation Part 2Preview
|Section 4: HDFS|
Hadoop Distributed File System (HDFS) Intro
HDFS Commands part 1
HDFS Commands Part 2
|Section 5: MAP Reduce|
Map Reduce IntroPreview
Map Reduce - Word Count problem
Map Reduce - Word Count code Explianed
Map Reduce - Word Count code Explaination continued
Map Reduce- Customer Sentiment Analyzer
Map Reduce - Word Count with Python
Map Reduce - Max temprature problem explained with python
|Section 6: Component - HIVE|
Hive commands using command line interface
Hive commands (Loading Files into Hive)
Hive commands (adding Buckets)
|Section 7: Component - Pig|
Intro to PigPreview
Pig Commands using command line interface
Pig useful Commands
User Defined Functions in PIG - Using JAVA
|Section 8: Component Sqoop|
Scoop commands Connecting to SQL and HDFS
Scoop commands ( RDBMS to HDFS command conversions)
Scoop commands (Export MSQL table into Hive Tables and back to MYSQL)
|Section 9: Component - Flume|
Flume Twitter Analysis
|Section 10: Component - HBase|
Intro to HBasePreview
HBase VS RDBMS
|Section 11: Conclusion|
Copy of the presentation I used
I have a degree of Masters in Computer science and currently work as a Planning manager in the field of Logistics for a $10 billion dollar company.
I have number of years of experience working with Directors and Vice Presidents of companies presenting them alternate solutions to optimize their supply chain network.
I also own a consulting firm Aarya Global Services currently providing consulting services for supply chain network planning and Optimization to various companies.