Course Outline

Introduction

Overview of "Open Studio for Big Data" Features and Architecture for Government

Setting up Open Studio for Big Data in a Public Sector Environment

Navigating the User Interface for Efficient Use in Government Workflows

Understanding Big Data Components and Connectors for Enhanced Integration

Connecting to a Hadoop Cluster for Secure Data Management

Reading and Writing Data with Precision and Reliability

Processing Data with Hive and MapReduce for Comprehensive Analysis

Analyzing the Results for Informed Decision-Making

Improving the Quality of Big Data to Enhance Governance and Accountability

Building a Big Data Pipeline for Streamlined Operations

Managing Users, Groups, Roles, and Projects for Enhanced Collaboration

Deploying Open Studio to Production Environments for Government Use

Monitoring Open Studio to Ensure Optimal Performance and Security

Troubleshooting Common Issues for Efficient Support

Summary and Conclusion

Requirements

  • An understanding of relational databases for government applications.
  • An understanding of data warehousing methodologies.
  • An understanding of ETL (Extract, Transform, Load) processes.

Audience

  • Business intelligence professionals for government agencies.
  • Database professionals supporting governmental systems.
  • SQL Developers working on government projects.
  • ETL Developers implementing data solutions for government entities.
  • Solution architects designing government information systems.
  • Data architects ensuring compliance and efficiency in government data structures.
  • Data warehousing professionals specializing in governmental data management.
  • System administrators and integrators supporting government IT infrastructure.
 28 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 live examples

Ahmet Bolat - 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)

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