Bigdata Greenplum DBA Online Training

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Bigdata Greenplum DBA Training

IQ Online training is a renowned provider of online training offering an entire range of IT professional courses across the globe. An industry leader with an astounding track record of well-placed students, IQ Online is the preferred choice of professionals as well as corporate.

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Greenplum DBA is one of the strongest pillars of BigData Analytics. It is capable of analyzing Terabytes to Petabyte of data and improves the user experience over traditional RDBMS products A sought-after specialization in the field of BigData; It has a bright future ahead. The Online Tutorial Classes offered at IQ Tech is an all-inclusive dynamic course that constantly adds the new developments in the field of Greenplum and Big Data analytics. An instructor-led online training course that is at par with classroom training

COURSE SUMMARY

Course NameBigdata Greenplum DBA Online Training
ContentsFundamentals of Big data,
Duration50 Hours with Flexible timings
DeliveryInstructor Led-Live Online Training
EligibilityBasic understanding of programming, SQL Syntax, and Knowledge of relational database
Ideal ForProfessionals keen on learning about Big Data Analytics and those who would like to install, design or administer and manage the Greenplum DBA
AvailabilityRegular/Weekend Batches. 24×7 teaching assistance and support.

Course Objectives

What you’ll learn in Greenplum DBA Training Course?

  • Detailed coverage on Greenplum DBA with a focus on the aspects plaguing the Industry
  • Experiential learning with a focus on features, benefits, and architecture in terms of shared nothing and the MPP design
  • Focuses on how Greenplum supports redundancy and high availability
  • Focuses on aspects of real-time critical decision making and mechanisms to convert unstructured data into unstructured data
  • Thorough understanding of contemporary testing as per different business requirements
  • Helps you develop insight from large data so you can assist your customers with the right information
  • Teaches you how to accelerate data and benefit from the information available
  • Suited for Data Scientists as well as Data Analysts
  • Ensures you learn the latest topics and best practices in the field of Big data analytics and Greenplum DBA

CORE BENEFITS OF LEARNING GREENPLUM DBA

Greenplum database is gaining high popularity owing to its large number of advantages. Anyone using Greenplum DBA will vouch for that with its use degradation is minimal even if work-load is high. Its column store architecture helps in aggregating large data volumes and makes it ideal for big databases. Moreover, it is robust, scalable and flexible shaping itself as organizations grow.

Course Curriculum

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Greenplum DBA at IQ Online is a thorough course offering a real-time feel of the industry scenario. The course focuses on features, benefits, and architecture in terms of shared nothing and the MPP design, and how Greenplum supports redundancy and high availability. It covers the basics from how to install to how to handle basic activities.

INTRODUCTION 

  • Master – Overview
  • Segments
  • Interconnect

CONCEPTS, FEATURES, AND BENEFITS
REDUNDANCY AND FAILOVER

  • Segment Mirroring
  • Master Mirroring

DATA DISTRIBUTION 

  • Checking for Uneven Data Distribution
  • Database Installation and Configuration
  • Lab – Database Installation and Configuration
  • Access Control and Security
  • Managing Roles and Privileges
  • Security Best Practices for Roles and Privileges
  • Creating New Roles (Users)
  • Altering Role Attributes
  • Creating Groups (Role Membership)
  • Managing Object Privileges

CONFIGURING CLIENT AUTHENTICATION

  • Allowing Connections
  • Editing the pg_hba.conf File
  • Limiting Concurrent Connections
  • ACCESSING THE DATABASE
  • Establishing a Database Session
  • Supported Client Applications
  • Database Client Applications
  • PgAdmin III
  • Database Application Interfaces
  • Third-Party Client Tools
  • Troubleshooting Connection Problems

LAB MANAGING WORKLOAD AND RESOURCES

  • Overview of Greenplum Workload Management
  • How Resource Queues Work
  • Steps to Enable Workload Management
  • Configuring Workload Management
  • Resource Queues

DATABASE ADMINISTRATION

  • Defining Database Objects (databases, schema, table, sequence etc)
  • Creating and using database
  • Creating and using schemas
  • Creating and Using Sequences
  • Indexes
  • Creating and Managing Views

MANAGING DATA

  • Vacuuming the Database
  • Querying Data
  • Query Performance
  • EXPLAIN Output, EXPLAIN ANALYZE Output
  • PARTITIONING LARGE TABLES
  • Understanding Table Partitioning
  • Deciding on a Table Partitioning Strategy
  • Creating Partitioned Tables
  • Loading Partitioned Tables
  • Maintaining Partitioned Tables

DATABASE LOADING TOOLS OVERVIEW

  • About External Tables
  • About upload
  • About COPY

SYSTEM ADMINISTRATION

  • Starting and Stopping
  • Routine admin tasks
  • Uploading Configuration File Changes Only
  • Configuring
  • Master and Local Parameters
  • Setting Configuration Parameters
  • Setting a Local Configuration Parameter
  • Setting a Master Configuration Parameter

ENABLING ALERTS AND NOTIFICATIONS

  • Checking for Failed Segments
  • Recovering a Failed Segment
  • Recovering a Failed Master
  • Backing up and Restoring Databases
  • Backup and Restore Operations

MONITORING 

  • Monitoring Database Activity and Performance
  • Monitoring System State
  • Enabling System Alerts and Notifications
  • Checking System State Checking Disk Space Usage

ROUTINE SYSTEM MAINTENANCE TASKS

  • Routine Vacuum and Analyze
  • System Catalog Maintenance

MANAGING DATABASE LOG FILES
PERFORMANCE TUNING

  • Common Causes of Performance Issues
  • Identifying Hardware and Segment Failures
  • Managing Workload
  • Maintaining Database Statistics

IDENTIFYING STATISTICS PROBLEMS IN QUERY PLANS

  • Tuning Statistics Collection
  • Optimizing Data Distribution
  • Optimizing Your Database Design
  • Lab

GP-DEVELOPMENT

  • Functions
  • Basic shell scripts

INVESTIGATING A PERFORMANCE PROBLEM

  • Checking System State
  • Checking Database Activity
  • Checking for Active Sessions (Workload)
  • Checking for Locks (Contention)
  • Checking Query Status and System Utilization
  • Troubleshooting Problem Queries

GP_TOOLKIT ADMINISTRATION SCHEMA

  • System catalog
  • Performance issues and tips
  • Automation scripts for GPDB administration

 

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I have signed up for this course. At first, I felt that it's very difficult to do the live 4 projects, I thought I might fail the project but, IQ Online Training global teaching assistant Rani & Divya helped a lot especially Neha cleared my doubts & She's is very friendly in nature. I'm thankful to Rani. Now I successfully completed the project. While coming to the course & material .They have provided well-structured course videos from the basic to advanced level with examples. IQ Online Training is a good place to learn especially they will treat the students in a good way but the important thing is it's up to you investing the money in any course. Here you have to respect the knowledge, not the money. If you think that so much of money I have invested in this particular course is it worthy like that negatively, everything is gone in vain. So respect the knowledge what they are provided. Knowledge is Power, Power brings you Money & Respect. The Truth is that Money doesn't make you Rich but Knowledge Does.

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Very easy to use

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IQ Online Training was a great resource for earning my Course. The team they have is very professional and always willing to help. The website and software are very easy to use. I would recommend this course to anyone preparing for this exam and career. I would use it again. The online videos are very easy to follow along. I've had several people at the company help with questions I had, and all are very nice

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★★★★★
5 5 1
The course was really interesting and informative.Trainer has wonderful technical and teaching skills. He answered all my queries very politely. Thanks a lot for all the effort that you have put.

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