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International Convention Centre Sydney (ICC Sydney)

14 Darling Drive

Sydney, NSW 2009


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In “Big Data Analytics Workshop” we cover the following Workshop contents:

Introduction to Analytics

  • What is Analytics?
  • Popular Tools
  • Role of Data Scientist
  • Analytics Methodology
  • Problem Definition

Statistical Concepts and their application in business

  • Descriptive Statistics
  • Probability Theory
  • Tests of significance
  • Non-parametric testing

Delivering business benefit from Big Data

  • Establishing the business importance of Big Data
  • Addressing the challenge of extracting useful data
  • Integrating Big Data with traditional data

Basic Analytic Techniques

  • Introduction to R
  • Data Exploration with R
  • Data Preparation with R
  • Data Visualization with R

Analyzing your data characteristics

  • Selecting data sources for analysis
  • Eliminating redundant data
  • Establishing the role of NoSQL

Overview of Big Data stores

  • Data models: key value, graph, document, column–family
  • Hadoop Distributed File System
  • HBase
  • Hive
  • Cassandra
  • Hypertable
  • Amazon S3
  • BigTable
  • DynamoDB
  • MongoDB
  • Redis
  • Riak
  • Neo4J

Selecting Big Data stores

  • Choosing the correct data stores based on your data characteristics
  • Moving code to data
  • Implementing polyglot data store solutions
  • Aligning business goals to the appropriate data store

Predictive Modeling Techniques

  • Linear Regression
  • Logistic Regression
  • Cluster Analysis
  • Decision Trees
  • Time Series Analysis

Model Validation

  • Model Validation
  • Creating Insights from Statistics
  • Online Resources
  • Connecting with the Analytics Community

Online Business Performance

  • What is Big Data?
  • Why Hadoop?
  • Hadoop and Map Reduce Overview
  • Hadoop Ecosystem
  • Cloudera Distributions

Hadoop Data Management

  • Hadoop Installation
  • Introduction to HDFS
  • Introduction to HBASE
  • Hive Data Management
  • Sqoop and Flume Overview

Processing Complex Data using Hadoop

  • Hadoop Streaming
  • Data Analysis using Pig
  • Data processing using Impala
  • Text Processing using Hive

Performing Analytics on Hadoop

  • R Streaming on Hadoop
  • Introduction to RHadoop
  • MapReduce Programming in R
  • Tableau for Hadoop

Implementing a Big Data Solution

  • Selecting suitable vendors and hosting options
  • Balancing costs against business value
  • Keeping ahead of the curve

Big Data Case Studies

  • Handling Unstructured Data
  • End-to-End Analytics using Hadoop
  • Case Studies with RHadoop
  • Visualizations with Tableau
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Date and Time


International Convention Centre Sydney (ICC Sydney)

14 Darling Drive

Sydney, NSW 2009


View Map

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