Cloudera Data Analyst

Overview

Join our Analyzing with Data Warehouse course, a four-day intensive program designed to equip you with the skills to apply traditional data analytics and business intelligence techniques to big data. You’ll learn to use tools essential for data professionals, enabling you to access, manipulate, transform, and analyze complex datasets using SQL and familiar scripting languages.

What You’ll Learn

Through instructor-led discussions and interactive, hands-on exercises, participants will navigate the ecosystem and learn to:

• Use Apache Hive and Apache Impala to access data through queries.
• Identify distinctions between Hive and Impala, including differences in syntax, data formats, and supported features.
• Write and execute queries using functions, aggregate functions, and subqueries.
• Utilize joins and unions to combine datasets.
• Create, modify, and delete tables, views, and databases.
• Load data into tables and store query results.
• Select file formats and develop partitioning schemes for improved performance.
• Use analytic and windowing functions to gain insights from your data.
• Store and query complex or nested data structures.
• Process and analyze semi-structured and unstructured data.
• Optimize and extend the capabilities of Hive and Impala.
• Determine the best choice for your tasks—Hive, Impala, an RDBMS, or a mix of these.
• Utilize the benefits of the CDP Public Cloud Data Warehouse.

What to Expect

This course is designed for aspiring data analysts and professionals seeking to enhance their skills in big data analytics. Participants will gain practical experience through hands-on exercises, preparing them for real-world data challenges.