July 2019
Beginner to intermediate
3h 35m
English
Overview
In this 3-hour course, you will learn the fundamentals and advanced features of Apache Hive and Apache Sqoop, along with preparing for the CCA159 Cloudera Big Data Analyst certification. This course covers Hadoop's distributed file system, advanced Hive operations, and data ingestion processes using Sqoop.
What I will be able to do after this course
- Acquire practical skills in data analysis using Apache Hive, including working with complex data types.
- Understand and utilize advanced Hive features such as partitioning, bucketing, and join types.
- Learn how to work with various file formats (like Parquet and Avro) and manage their compression.
- Gain the abilities to effectively export and import data between relational databases and Hadoop systems using Sqoop.
- Prepare for the CCA159 Cloudera Big Data Analyst certification with confidence and proficiency.
Course Instructor(s)
Navdeep Kaur brings extensive expertise in data analytics and big data technologies, with a proven track record in training and mentoring. Having a robust background in Hadoop and Hive, combined with years of teaching experience, Navdeep approaches teaching with clarity and a focus on actionable learning outcomes. Her goal is to empower learners to advance their careers in data analytics.
Who is it for?
This course is ideal for SQL developers, business analysts, and testers seeking to expand their skills in big data analytics without programming expertise. It's designed for learners aiming for the CCA159 Cloudera certification or those looking to enhance their practical knowledge of Hadoop, Hive, and Sqoop. Whether you're beginning with big data or enhancing existing skills, this course suits your journey.
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