Course Outline

Introduction

  • Overview of Cloud Computing and Big Data Solutions for Government
  • Detailed Examination of Apache Hadoop Features and Architecture

Setting up Hadoop for Government

  • Strategic Planning for a Hadoop Cluster (On-Premise, Cloud, etc.)
  • Selecting the Appropriate Operating System and Hadoop Distribution
  • Provisioning Necessary Resources (Hardware, Network, etc.)
  • Downloading and Installing Hadoop Software
  • Sizing the Cluster for Optimal Flexibility and Scalability

Working with HDFS for Government

  • Understanding the Hadoop Distributed File System (HDFS)
  • Overview of HDFS Command Reference for Efficient Management
  • Accessing HDFS to Facilitate Data Operations
  • Performing Basic File Operations on HDFS for Government Use Cases
  • Utilizing S3 as a Complementary Solution to HDFS

Overview of the MapReduce Framework for Government

  • Understanding Data Flow in the MapReduce Framework for Enhanced Processing
  • Key Components: Map, Shuffle, Sort, and Reduce
  • Demonstration: Calculating Top Salaries Using MapReduce

Working with YARN for Government

  • Understanding Resource Management in Hadoop for Efficient Operations
  • Functionality of ResourceManager, NodeManager, and Application Master
  • Scheduling Jobs Under YARN to Optimize Performance
  • Scheduling for Large-Scale Clusters with Numerous Nodes
  • Demonstration: Job Scheduling Techniques for Government Applications

Integrating Hadoop with Spark for Government

  • Setting Up Storage Solutions for Spark (HDFS, Amazon S3, NoSQL, etc.)
  • Understanding Resilient Distributed Datasets (RDDs) for Data Processing
  • Creating an RDD to Enhance Data Handling
  • Implementing RDD Transformations for Efficient Data Manipulation
  • Demonstration: Implementing a Text Search Program for Movie Titles Using Spark and Hadoop Integration

Managing a Hadoop Cluster for Government

  • Monitoring Hadoop Operations to Ensure Reliability
  • Securing a Hadoop Cluster Against Unauthorized Access and Data Breaches
  • Adding and Removing Nodes to Scale the Cluster as Needed
  • Running Performance Benchmarks to Identify Optimization Opportunities
  • Tuning a Hadoop Cluster to Maximize Efficiency and Performance
  • Developing Backup, Recovery, and Business Continuity Plans for Resilience
  • Ensuring High Availability (HA) to Maintain Continuous Operations

Upgrading and Migrating a Hadoop Cluster for Government

  • Assessing Workload Requirements to Guide Upgrades and Migrations
  • Performing Hadoop Upgrades to Leverage New Features and Enhancements
  • Moving from On-Premise to Cloud and Vice-Versa to Optimize Resources
  • Recovering from Failures to Minimize Downtime and Data Loss

Troubleshooting Hadoop Issues for Government

Summary and Conclusion

Requirements

  • Experience in system administration for government environments
  • Familiarity with Linux command line operations
  • Comprehension of big data concepts and their application in public sector workflows

Audience

  • System administrators for government agencies
  • Database administrators for government systems
 35 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (5)

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data

very interactive...

Richard Langford
Course - SMACK Stack for Data Science

Sufficient hands on, trainer is knowledgable

Chris Tan
Course - A Practical Introduction to Stream Processing

Get to learn spark streaming , databricks and aws redshift

Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd.
Course - Apache Spark in the Cloud

practice tasks

Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo
Course - Python and Spark for Big Data (PySpark)

Upcoming Courses

Hadoop and Spark for Administrators

2026-04-08 09:30
35 hours
Oklahoma City, OK - Regus at Robert S Kerr Ave
$ 6757 (Online)
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Hadoop and Spark for Administrators

2026-04-22 09:30
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2026-05-06 09:30
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2026-05-20 09:30
35 hours
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Hadoop and Spark for Administrators

2026-06-03 09:30
35 hours
Pierre, South Dakota
$ 6757 (Online)
$ 9757 (Classroom)

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