How to use Cloudera Data Platform (CDP)

Sonu · July 25, 2024

Here’s a detailed training path for mastering Cloudera, moving from beginner to advanced levels:

Beginner Level

  1. Introduction to Big Data and Hadoop
    • Objective: Understand the basics of Big Data and Hadoop ecosystem.
    • Key Topics:
      • Introduction to Big Data
      • Hadoop architecture
      • HDFS (Hadoop Distributed File System)
      • MapReduce
  2. Cloudera Essentials
    • Objective: Familiarize with Cloudera platform and its components.
    • Key Topics:
      • Overview of Cloudera Distribution
      • Cloudera Manager basics
      • Introduction to Cloudera components (Hadoop, Hive, HBase, etc.)
  3. Cloudera Certified Associate (CCA) Certification Preparation
    • Objective: Prepare for the CCA certification exam.
    • Key Topics:
      • Data ingestion with Sqoop and Flume
      • Transforming data using Pig and Hive
      • Data analysis using Impala and Hive
      • Understanding data storage in HDFS and HBase

Intermediate Level

  1. Advanced Hadoop
    • Objective: Deep dive into Hadoop and its advanced features.
    • Key Topics:
      • Advanced HDFS and MapReduce concepts
      • YARN resource management
      • Performance tuning and optimization
      • Hadoop security
  2. Cloudera Administration
    • Objective: Learn to manage and administer Cloudera clusters.
    • Key Topics:
      • Cloudera Manager deep dive
      • Cluster planning and installation
      • Cluster monitoring and troubleshooting
      • Upgrading and managing clusters
  3. Data Analysis with Cloudera
    • Objective: Perform complex data analysis using Cloudera tools.
    • Key Topics:
      • Advanced Hive and Impala
      • Data warehousing with Cloudera
      • Spark integration with Cloudera
      • Using Hue for data analysis

Advanced Level

  1. Cloudera Data Science and Machine Learning
    • Objective: Implement data science and machine learning projects using Cloudera.
    • Key Topics:
      • Introduction to Cloudera Data Science Workbench
      • Data preprocessing and exploration
      • Machine learning with Spark MLlib
      • Advanced analytics with Cloudera
  2. Cloudera Security and Governance
    • Objective: Ensure security and governance in Cloudera environments.
    • Key Topics:
      • Kerberos and LDAP integration
      • Data encryption and masking
      • Auditing and compliance
      • Data lineage and governance
  3. Cloudera Certified Professional (CCP) Certification Preparation
    • Objective: Prepare for the CCP certification exam.
    • Key Topics:
      • Real-world data engineering tasks
      • Complex data transformations and analysis
      • Performance tuning and optimization
      • Comprehensive case studies

Resources and Practice

  • Books:
    • “Hadoop: The Definitive Guide” by Tom White
    • “Data Science and Big Data Analytics” by EMC Education Services
    • “Hadoop Operations” by Eric Sammer
  • Practice and Hands-on Labs:
    • Cloudera Live (Cloudera’s own cloud-based platform for practice)
    • AWS and GCP for setting up your own Cloudera clusters
    • Practice projects and case studies
  • Communities and Forums:
    • Cloudera Community Forum
    • Stack Overflow
    • LinkedIn Groups and other professional networks

By following this guided path, you can progress from a beginner to an advanced Cloudera professional, equipped with the skills needed to manage and analyze big data using Cloudera’s suite of tools.

About Instructor

Sonu

98 Courses

+4 enrolled
Not Enrolled

Course Includes

  • 43 Lessons