DANA-262: Analyzing with Cloudera Data Warehouse

Duration: 4 Days (32 Hours)

DANA-262: Analyzing with Cloudera Data Warehouse Course Overview:

In this intensive four-day “Analyzing with Data Warehouse” course, you will acquire the ability to leverage conventional data analytics and business intelligence proficiencies for large-scale data scenarios. The curriculum equips participants with essential tools to seamlessly access, manipulate, transform, and dissect intricate data sets, employing SQL and well-known scripting languages.

Intended Audience:

  • This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators.

Learning Objectives of DANA-262: Analyzing with Cloudera Data Warehouse:

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

  • Use Apache Hive and Apache Impala to access data through queries
  • Identify distinctions between Hive and Impala, such as differences in syntax, data formats, and supported features
  • Write and execute queries that use functions, aggregate functions, and subqueries
  • Use 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 better performance
  • Use analytic and windowing functions to gain insight into their 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 whether Hive, Impala, an RDBMS, or a mix of these is the best choice for a given task
  • Utilize the benefits of CDP Public Cloud Data Warehouse
Foundations for Big Data Analytics
  • Big Data Analytics Overview
  • Data Storage: HDFS
  • Distributed Data Processing: YARN, MapReduce, and Spark
  • Data Processing and Analysis: Hive and Impala
  • Database Integration: Sqoop
  • Other Data Tools
  • Exercise Scenario Explanation
  • What Is Hive?
  • What Is Impala?
  • Why Use Hive and Impala?
  • Schema and Data Storage
  • Comparing Hive and Impala to Traditional Databases
  • Use Cases
  • Databases and Tables
  • Basic Hive and Impala Query Language Syntax
  • Data Types
  • Using Hue to Execute Queries
  • Using Beeline (Hive’s Shell)
  • Using the Impala Shell
  • Operators
  • Scalar Functions
  • Aggregate Functions
  • Using Regular Expressions with Hive and Impala
  • Processing Text Data with SerDes in Hive
  • Sentiment Analysis and n-grams in Hive
  • Understanding Query Performance
  • Cost-Based Optimization and Statistics
  • Bucketing
  • ORC File Optimizations
  • How Impala Executes Queries
  • Improving Impala Performance
  • User-Defined Functions
  • Parameterized Queries
  • Data Storage
  • Creating Databases and Tables
  • Loading Data
  • Altering Databases and Tables
  • Simplifying Queries with Views
  • Storing Query Results
  • Partitioning Tables
  • Loading Data into Partitioned Tables
  • When to Use Partitioning
  • Choosing a File Format
  • Using Avro and Parquet File Formats
  • UNION and Joins
  • Handling NULL Values in Joins
  • Advanced Joins
  • Using Analytic Functions
  • Other Analytic Functions
  • Sliding Windows
  • Complex Data with Hive
  • Complex Data with Impala
  • Comparing Hive, Impala, and
  • Relational Databases
  • Which to Choose?
  • Data Warehouse Overview
  • Auto-Scaling
  • Managing Virtual Warehouses
  • Querying Data Using CLI and Third-Party Integration
  • What Is Kudu?
  • Kudu Tables
  • Using Impala with Kudu

DANA-262: Analyzing with Cloudera Data Warehouse Course Prerequisites

  • Some knowledge of SQL is assumed, as is basic Linux command-line familiarity.

Discover the perfect fit for your learning journey

Choose Learning Modality

Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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