Course description
Working With Apache Hive
Hive is the de-facto standard for data warehousing Hadoop. This course starts with standard Hive setup and operations, continues into Advanced Hive use, discusses performance and execution engines, and ends with a practical workshop.
This course is intended for data scientists and software engineers. It gives them practical level of experience, achieved through a combination of about 50% lecture, 50% lab work.
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Who should attend?
Audience: Data Scientists, Developers, Administrators
Prerequisites:
- Familiarity with SQL
- Be able to navigate Linux command line
- Basic knowledge of command line Linux editors (VI / nano)
Training content
Hive Basics
- Defining Hive Tables
- SQL Queries over Structured Data
- Filtering / Search
- Aggregations / Ordering
- Partitions
- Joins
- Text Analytics (Semi-Structured Data)
Hive Advanced
- Transformation, Aggregation
- Working with Dates, Timestamps, and Arrays
- Converting Strings to Date, Time, and Numbers
- Create new Attributes, Mathematical Calculations, Windowing Functions
- Use Character and String Functions
- Binning and Smoothing
- Processing JSON Data
- Execution Engines (Tez, MR, Spark)
Impala (for Cloudera track)
- Architecture
- Impala joins and other SQL specifics
Bonus Project
- Students will work in teams to do this end-to-end workshop
- Setup a data warehouse with Hive
- Query and analyze data with Hive and Spark
Costs
- Price: $1,795.00
- Discounted Price: $1,166.75
Why choose Trivera Technologies LLC?
Over 25 years of technology training expertise.
Robust portfolio of over 1,000 leading edge technology courses.
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Trivera Technologies
Trivera Technologies is a IT education services & courseware firm that offers a range of wide professional technical education services including: end to end IT training development and delivery, skills-based mentoring programs,new hire training and re-skilling services, courseware licensing and...