Обучение аналитиков данных Cloudera

Cloudera Data Analyst Training

Cloudera University’s four-day Data Analyst Training course will teach you to apply traditional
data analytics and business intelligence skills to big data. This course presents the tools data
professionals need to access, manipulate, transform, and analyze complex data sets using SQL
and familiar scripting languages.

Advance Your Ecosystem Expertise

Apache Hive makes transformation and analysis of complex, multi-structured data scalable in Cloudera environments. Apache Impala enables real-time interactive analysis of the data stored in Hadoop using a native SQL environment. Together, they make multi-structured data accessible to analysts, database administrators, and others without Java programming expertise.

What to Expect

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the ecosystem, learning:

  • How the open source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
  • Using Apache Hive and Apache Impala to provide SQL access to data
  • Hive and Impala syntax and data formats, including functions and subqueries
  • Create, modify, and delete tables, views, and databases; load data; and store results of queries
  • Create and use partitions and dierent file formats
  • Combining two or more datasets using JOIN or UNION, as appropriate
  • What analytic and windowing functions are, and how to use them Store and query complex or nested data structures
  • Process and analyze semi-structured and unstructured data
  • Techniques for optimizing Hive and Impala queries
  • Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
  • How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task

Audience & Prerequisites

This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity. Prior knowledge of Apache Hadoop is not required.

Get certified

Upon completion of the course, attendees are encouraged to continue their study and register for the CCA Data Analyst exam. Certification is a great dierentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise

Стоимость курса: 2 180 евро
Продолжительность: 4 дня

Краткая информация

  • На время прохождения курса предоставляется ноутбук и другие инструменты
  • Доступная цена обучения
  • Аттестованный преподаватель