Cloudera

CA-CDAT

Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop

Price:
United Arab Emirates:
USD 3,195.00 excl. VAT

Duration: 4 Days

Who Should Attend

  • This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators
Dates
Date Country Location Language Register
16-12-2019 - 19-12-2019 AE Dubai English Register
23-12-2019 - 26-12-2019 SA Riyadh English Register
International dates
 
Prerequisites

Knowledge of SQL is assumed, as is basic Linux command-line familiarity. Knowledge of at least one scripting language (e.g., Bash scripting, Perl, Python, Ruby) would be helpful but is not essential. Prior knowledge of Apache Hadoop is not required

Course Content

Cloudera University’s four-day data analyst training course will teach you to apply traditional data analytics and business intelligence skills to big data tools like Apache Impala (Incubating). Apache Hive, and Apache Pig. Cloudera presents the tools data professionals need to access, manipulate, transform and analyze complex data sets using SQL and familiar scripting languages

Course Objectives

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

  • Acquire, store, and analyze data using features in Pig, Hive, and Impala 
  • Perform fundamental ETL (extract, transform, and load) tasks with Hadoop tools 
  • Use Pig, Hive, and Impala to improve productivity for typical analysis tasks 
  • Join diverse datasheets to gain valuable business insight
  • Perform interactive, complex queries on datasets
Course Outline
  • Introduction 
  • Hadoop Fundamentals 
  • Introduction to Pig
  • Basic Data Analysis with Pig
  • Processing Complex Data with Pig
  • Multi-Dataset Operations with Pig
  • Pig Troubleshooting and Optimization
  • Introduction to Hive and Impala 
  • Querying with Hive and Impala 
  • Hive and Impala Data Management
  • Data Storage and Performance 
  • Relational Data Analysis with Hive and Impala 
  • Complex Data with Hive and Impala 
  • Analyzing Text with Hive and Impala 
  • Hive Optimization
  • Impala Optimization 
  • Extending Hive and Impala 
  • Choosing the Best Tool for the Job
Further information

If you would like to know more about this course please contact us