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DANA-262: Analyzing with Cloudera Data Warehouse

DANA-262: Analyzing with Cloudera Data Warehouse is a comprehensive training course designed to equip data analysts, engineers, and data scientists with the skills to efficiently analyze data within Cloudera’s advanced data warehousing environment. Through hands-on exercises and real-world examples, you’ll learn how to use the Cloudera Data Warehouse platform to perform complex data queries, integrate various data sources, optimize workloads, and gain actionable insights. This course prepares you to work with both traditional and modern data analytics techniques in an enterprise-grade, scalable data environment.

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Schedule Learners Course Fee Register Your Interest
April 28th - 01st
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
Fast Filling! Hurry Up.
April 21st - 24th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
May 12th - 21st
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 1,600
June 02nd - 05th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600

Course Prerequisites

  • Basic understanding of SQL and relational databases
  • Familiarity with data warehousing concepts
  • Experience with Cloudera or Hadoop ecosystems is beneficial but not required

Prior experience with Cloudera Data Warehouse or big data platforms is helpful, but not necessary.

Learning Objectives

By the end of this course, participants will be able to:

  • Set up and configure Cloudera Data Warehouse for data analysis
  • Integrate data from multiple sources and optimize data pipelines
  • Write and optimize SQL queries for large-scale data analysis
  • Perform advanced analytics and build data pipelines for machine learning
  • Ensure data security and governance within the Cloudera Data Warehouse
  • Monitor, troubleshoot, and maintain optimal performance in a CDW environment

Target Audience

This course is ideal for professionals responsible for performing data analysis, query optimization, and managing data warehouses within Cloudera’s ecosystem. The target audience includes:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • BI Developers
  • Database Administrators
  • Cloud Data Professionals
  • Big Data Engineers

Course Modules

  • Introduction to Cloudera Data Warehouse

    • Overview of Cloudera Data Warehouse and its components
    • Key features of Cloudera Data Warehouse (CDW)
    • Understanding the architecture and design of the platform

  • Setting Up and Configuring Cloudera Data Warehouse

    • Installing and configuring Cloudera Data Warehouse environments
    • Integrating data sources for seamless analysis
    • Configuring users and access rights for optimal security

  • Data Ingestion and Integration

    • Techniques for ingesting data from various sources into CDW
    • Real-time and batch data integration methods
    • Best practices for managing ETL processes and optimizing data pipelines

  • Querying and Analyzing Data

    • Writing SQL queries for data analysis in Cloudera Data Warehouse
    • Utilizing complex join operations, aggregations, and window functions
    • Working with large datasets and optimizing query performance

  • Data Optimization and Performance Tuning

    • Techniques for query optimization in Cloudera Data Warehouse
    • Partitioning and indexing strategies for faster query execution
    • Using caching and materialized views for performance enhancement

  • Advanced Analytics with Cloudera Data Warehouse

    • Leveraging machine learning and advanced analytics within the CDW environment
    • Integrating with popular data science tools and frameworks (e.g., Apache Spark, Python)
    • Building and executing data pipelines for machine learning

  • Data Governance and Security

    • Implementing data governance practices within Cloudera Data Warehouse
    • Securing data with encryption and role-based access control (RBAC)
    • Auditing and tracking data access and modifications

  • Monitoring, Troubleshooting, and Maintenance

    • Setting up monitoring and logging for Cloudera Data Warehouse
    • Troubleshooting common data warehouse issues
    • Regular maintenance and optimization best practices for Cloudera CDW

What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024