Apache 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.
This is an Introductory-level course is geared for experienced data scientists and engineers seeking a quick start to working with Hive. Attendees should have some familiarity with basic SQL, and should also be able to navigate Linux command line and have basic knowledge of Linux editors (such as VI / nano) for editing code.
This course is a core component of our Big Data, AI & Machine Learning Skills Path, designed to train participants of all skill levels in modern data science across the enterprise. We offer courses in next level Hadoop, Hive, Analytics, Kafka and more. Please contact us for details and next step recommendations based on your specific roles and. goals.
Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Learning Path recommendations
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.
- Defining Hive Tables
- SQL Queries over Structured Data
- Filtering / Search
- Aggregations / Ordering
- Text Analytics (Semi-Structured Data)
- 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)
- Impala joins and other SQL specifics
- 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
Student Materials: Each participant will receive a Student Guide with course notes, code samples, software tutorials, step-by-step written lab instructions, diagrams and related reference materials and resource links. Students will also receive the project files (or code, if applicable) and solutions required for the hands-on work.
Hands-On Setup Made Simple! Our dedicated tech team will work with you to ensure our ‘easy-access’ cloud-based course environment is accessible, fully-tested and verified as ready to go well in advance of the course start date, ensuring a smooth start to class and effective learning experience for all participants. Please inquire for details and options.