Course Description: This big data training course will provide a
technical overview of Apache Hadoop for project managers, business
managers and data analysts. Students will understand the overall big
data space, technologies involved and will get a detailed overview of
Apache Hadoop. The course will expose students to real world use cases
to comprehend the capabilities of Apache Hadoop. Students will also
learn about YARN and HDFS and how to develop applications and analyze
Big Data stored in Apache Hadoop using Apache Pig and Apache Hive.
Each topic will provide hands on experience to the students.
Introduction to Big Data ● Big Data – beyond the obvious trends
● Exponentially increasing data ● Big data sources ● Data
warehousing, business intelligence, analytics, predictive statistics,
data science Survey of Big Data technologies ● First generation
systems ● Second generation systems ● Enterprise search ●
Visualizing and understanding data with processing ● NOSQL databases
● Apache Hadoop Introduction to Hadoop ● What is Hadoop? Who are
the major vendors? ● A dive into the Hadoop Ecosystem ● Benefits
of using Hadoop ● How to use Hadoop within your infrastructure?
Introduction to MapReduce ● What is MapReduce? ● Why do you need
MapReduce? ● Using Mapreduce with Java and Ruby Introduction to Yarn
● What is Yarn? ● What are the advantages of using Yarn over
classical MapReduce? ● Using Yarn with Java and Ruby Introduction to
HDFS ● What is HDFS? ● Why do you need a distributed file system?
● How is a distributed file system different from a traditional file
system? ● What is unique about HDFS when compared to other file
systems? ● HDFS and reliability? ● Does it offer support for
compressions, checksums and data integrity? Data Transformation ●
Why do you need to transform data? ● What is Pig? ● Use cases for
Pig Structured Data Analysis? ● How do you handle structured data
with Hadoop? ● What is Hive/HCatalog? ● Use cases for
Hive/HCatalog Loading data into Hadoop ● How do you move your
existing data into Hadoop? ● What is Sqoop? Automating workflows in
Hadoop ● Benefits of Automation ● What is oozie? ● Automatically
running workflows ● Setting up workflow triggers Exploring
opportunities in your own organization ● Framing scenarios ●
Understanding how to ask questions ● Tying possibilities to your own
business drivers ● Common opportunities ● Real world examples
Hands-on Exercises ● How to use Yarn within Hadoop? ● Overview of
HDFS commands ● Hands-on activities with Pig ● Hands-on activities
with Hive/HCatalog ● Hands-on activities with Sqoop ●
Demonstration of Oozie ● Learn about the big data ecosystem ●
Understand the benefits and ROI you can get from your existing data
● Learn about Hadoop and how it is transforming the workspace ●
Learn about MapReduce and Hadoop Distributed File system ● Learn
about using Hadoop to identify new business opportunities ● Learn
about using Hadoop to improve data management processes ● Learn
about using Hadoop to clarify results ● Learn about using Hadoop to
expand your data sources ● Learn about scaling your current workflow
to handle more users and lower your overall performance cost ● Learn
about the various technologies that comprise the Hadoop ecosystem ●
Learn how to write a simple mapreduce job from Java or your favorite
programming language ● Learn how to use a very simple scripting
language to transform your data ● Learn how to use a SQL like
declarative language to analyze large quantities of data ● Learn how
to connect your existing data warehouse to the Hadoop ecosystem ●
Learn how to move your data to the Hadoop ecosystem ● Learn how to
move the results of your data analysis to Business Intelligence Tools
like Tableaux ● Learn how to automate your workflow using oozie ●
Learn about polyglot persistence and identifying the right tool for
the right job ● Learn about future trends in Big data and
technologies to keep an eye on ● Discover tips and tricks behind
successful Hadoop deployments Ticket Information Ticket Price Early
Bird Registration AUD 1,195 Standard Registration AUD 1,595
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17/07/2020 Last update