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Increase productivity by avoiding low-level Java coding characteristic of MapReduce, and rapidly begin extracting business value for competitive advantage. In this big data training course, you will learn to gain access to previously inaccessible data, gather and feed data into Hadoop for storage, transform and filter data using Pig, and extract value using Hive and Spark SQL.
Storing data in HDFS
Parallel processing with MapReduce
Automating data transfer
Describing characteristics of Apache Pig
Structuring unstructured data
Transforming data with Relational Operators
Filtering data with Pig
Leveraging business advantages of Hive
Organizing data in Hive Data Warehouse
Designing data layout for maximum performance
Performing joins on unstructured data
Pushing HiveQL to the limit
Deploying Hive in production
Streamlining storage management with HCatalog
Course Tuition Includes:
After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online any time after class.
Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm