Online IT Training Institute

[rizetrainings-blog]

Learn Tableau Online Training with Real time project Scenarios, 10+ years Experts, 24/7 Support. Join Online Tableau Classes in Bangalore, Hyderabad, Chennai, Uk, Canada.

[rizetrainings-blog]

Learn Tableau Online Training in Hyderabad with Real-time project Scenarios, 10+ years Experts, 24/7 Support. Join Online Tableau Classes in Bangalore, Hyderabad, Chennai, Uk, Canada.

[rizetrainings-blog]

Tableau Training | Tableau Training in Hyderabad - Rizetrainings.com

Learn Tableau Online Training with Real time project Scenarios, 10+ years Experts, 24/7 Support. Join Online Tableau Classes in Bangalore, Hyderabad, Chennai, Uk, Canada. Call us:- [phone], Email:[email protected].

Course Objective Summary

Understand the many options for connecting to data

Understand the Tableau interface/paradigm – components, shelves, data elements, and Terminology.

The student will be able to use this knowledge to effectively create the most Powerful visualizations.

Create basic calculations including string manipulation, basic arithmetic calculations, custom Aggregations and ratios, date math, logic statements and quick table calculations

Able to represent your data using the following visualization types:

Cross Tab

Geographic Map

Page Trails

Heat Map

Density Chart

Scatter Plots

Pie Chart and Bar Charts

Small Multiples

Dual Axis and Combo Charts with different mark types

Options for drill down and drill across

Use Trend Lines, Reference Lines and statistical techniques to describe your data

Understanding how to use group, bin, hierarchy, sort, set and filter options effectively

Work with the many formatting options to fine tune the presentation of your visualizations

Understand how and when to Use Measure Name and Measure Value

Understand how to deal with data changes in your data source such as field addition, deletion or Name change

Understand all of your options for sharing your visualizations with others

Combine your visualizations into Interactive Dashboards and publish them to the web

Course Content:

1.           Introduction and Overview

Why Tableau? Why Visualization?

Level Setting – Terminology

Getting Started – creating some powerful visualizations quickly

The Tableau Product Line

Things you should know about Tableau

  2.           Getting Started

Connecting to Data and introduction to data source concept

Working with data files versus database server

Understanding the Tableau workspace

Dimensions and Measures

Using Show Me!

Tour of Shelves (How shelves and marks work)

Building Basic Views

Help Menu and Samples

Saving and sharing your work

  3.           Analysis

Creating Views

Marks

Size and Transparency

Highlighting

Working with Dates

Date aggregations and date parts

Discrete versus Continuous

Dual Axis / Multiple Measures

Combo Charts with different mark types

Geographic Map Page Trails

Heat Map

Density Chart

Scatter Plots

Pie Charts and Bar Charts

Small Multiples

Working with aggregate versus disaggregate data

Analyzing

Sorting & Grouping

Aliases

Filtering and Quick Filters

Cross-Tabs (Pivot Tables)

Totals and Subtotals Drilling and Drill Through

Aggregation and Disaggregation

Percent of Total

Working with Statistics and Trendlines

  4.           Getting Started with Calculated Fields

Working with String Functions

Basic Arithmetic Calculations

Date Math

Working with Totals

Custom Aggregations

Logic Statements

  5.           Formatting

Options in Formatting your Visualization

Working with Labels and Annotations

Effective Use of Titles and Captions

Introduction to Visual Best Practices

  6.           Building Interactive Dashboard

Combining multiple visualizations into a dashboard

Making your worksheet interactive by using actions and filters

An Introduction to Best Practices in Visualization

Sharing Workbooks

 Publish to Reader

Packaged Workbooks

Publish to Office

Publish to PDF

Publish to Tableau Server and Sharing over the Web

Putting it all together

 Scenario-based Review Exercises

Best Practices

[rizetrainings-blog]

Hadoop Online Training | Big Data Hadoop Online Training in Hyderabad - Rizetrainings.com

Best  Hadoop Online Training provided by RizeTrainings with 13+ years Experts,Live Projects, Certification Support in Hyderabad India, USA, UK, Canada, Japan . 

Course Objective Summary

During this course, you will learn:

Introduction to Big Data and Analytics

Introduction to Hadoop

Hadoop ecosystem - Concepts

Hadoop Map-reduce concepts and features

Developing the map-reduce Applications

Pig concepts

Hive concepts

Sqoop concepts

Flume Concepts

Oozie workflow concepts

Impala Concepts

Hue Concepts

HBASE Concepts

ZooKeeper Concepts

Real Life Use Cases

Reporting Tool

  Tableau

1.           Virtualbox/VM Ware

Basics

Installations

Backups

Snapshots

  2.           Linux

Basics

Installations

Commands

  3.           Hadoop

Why Hadoop?

Scaling

Distributed Framework

Hadoop v/s RDBMS 

Brief history of hadoop

  4.           Setup hadoop

Pseudo mode

Cluster mode

Ipv6

Ssh

Installation of java, hadoop

Configurations of hadoop

Hadoop Processes ( NN, SNN, JT, DN, TT)

Temporary directory

UI

Common errors when running hadoop cluster, solutions

  5.           HDFS- Hadoop distributed File System

HDFS Design and Architecture

HDFS Concepts

Interacting HDFS using command line

Interacting HDFS using Java APIs

Dataflow

Blocks

Replica

  6.           Hadoop Processes

Name node

Secondary name node

Job tracker

Task tracker

Data node

7.           Map Reduce

Developing Map Reduce Application

Phases in Map Reduce Framework

Map Reduce Input and Output Formats

Advanced Concepts

Sample Applications

Combiner

8.           Joining datasets in Mapreduce jobs

Map-side join

Reduce-Side join

  9.           Map reduce – customization

Custom Input format class

Hash Partitioner

Custom Partitioner

Sorting techniques

Custom Output format class

10. Hadoop Programming Languages :-  

I.HIVE

Introduction

Installation and Configuration

Interacting HDFS using HIVE

Map Reduce Programs through HIVE

HIVE Commands

Loading, Filtering, Grouping….

Data types, Operators…..

Joins, Groups….

Sample programs in HIVE

  II. PIG

Basics

Installation and Configurations

Commands….

 OVERVIEW HADOOP DEVELOPER

11.         Introduction  

12.         The Motivation for Hadoop  

Problems with traditional large-scale systems

Requirements for a new approach

  13.         Hadoop: Basic Concepts

An Overview of Hadoop

The Hadoop Distributed File System

Hands-On Exercise

How MapReduce Works

Hands-On Exercise

Anatomy of a Hadoop Cluster

Other Hadoop Ecosystem Components

  14.         Writing a MapReduce Program

The MapReduce Flow

Examining a Sample MapReduce Program

Basic MapReduce API Concepts

The Driver Code

The Mapper

The Reducer

Hadoop’s Streaming API

Using Eclipse for Rapid Development

Hands-on exercise

The New MapReduce API

  15.         Common MapReduce Algorithms

Sorting and Searching

Indexing

Machine Learning With Mahout

Term Frequency – Inverse Document Frequency

Word Co-Occurrence

Hands-On Exercise.

16.PIG Concepts..

Data loading in PIG.

Data Extraction in PIG.

Data Transformation in PIG.

Hands on exercise on PIG.

  17. Hive Concepts.

Hive Query Language.

Alter and Delete in Hive.

Partition in Hive.

Indexing.

Joins in Hive.Unions in hive.

Industry specific configuration of hive parameters.

Authentication & Authorization.

Statistics with Hive.

Archiving in Hive.

Hands-on exercise

  18. Working with Sqoop

Introduction.

Import Data.

Export Data.

Sqoop Syntaxs.

Databases connection.

Hands-on exercise 

19. Working with Flume

Introduction.

Configuration and Setup.

Flume Sink with example.

Channel.

Flume Source with example.

Complex flume architecture.

 20.          OOZIE Concepts

21.         IMPALA Concepts

22.         HUE Concepts

23.         HBASE Concepts

24.         ZooKeeper concepts

 Reporting Tool..

Tableau

This course is designed for the beginner to intermediate-level Tableau user. It is for anyone who works with data – regardless of technical or analytical background. This course is designed to help you understand the important concepts and techniques used in Tableau to move from simple to complex visualizations and learn how to combine them in interactive dashboards.

Course Topics

Overview

What is visual analysis?

strengths/weakness of the visual system.

Laying the Groundwork for Visual Analysis

Analytical Process

Preparing for analysis

Getting, Cleaning and Classifying Your Data

Cleaning, formatting and reshaping.

Using additional data to support your analysis.

Data classification

Visual Mapping Techniques

  Visual Variables : Basic Units of Data Visualization

Working with Color

Marks in action: Common chart types

Solving Real-World Problems with Visual Analysis

  Getting a Feel for the Data- Exploratory Analysis.

Making comparisons

Looking at (co-)Relationships.

Checking progress.

Spatial Relationships.

Try, try again.

Communicating Your Findings

  Fine-tuning for more effective visualization

Storytelling and guided analytics

Dashboards

[rizetrainings-blog]

Online Hadoop Training provided by RizeTrainings with 13+ years Experts ,  Live Projects, Certification Support in Hyderabad India, USA, UK, Canada.. etc;

[rizetrainings-blog]

Best Online Hadoop Training provided by RizeTrainings with 13+ years Experts, Live Projects, Certification Support in Hyderabad India, USA, UK, Canada, Japan.

[rizetrainings-blog]

Oracle Fusion SCM Online Training - RizeTrainings.com