This hands-on Introduction to Big Data training provides a unique approach to help you act on data for real business gain. The focus is not on what a tool can do, but on what you can do with the output from the tool. By integrating Big Data training with your data science training you gain the skills you need to store, manage, process, and analyze massive amounts of structured and unstructured data to extract meaningful insights.
Attend this Introduction to Big Data in one of three formats - live, instructor-led, on-demand or a blended on-demand/instructor-led version.
Introduction to Big Data Training Delivery Methods
In-Person
Online
On-Demand
Introduction to Big Data Training Course Benefits
Store, manage, and analyze unstructured dataSelect the correct big data stores for disparate data setsProcess large data sets using Hadoop and Spark to extract valueQuery large data sets in near real time with Pig and HivePlan and implement a big data strategy for your organization
Leverage continued support with after-course one-on-one instructor coaching and computing sandbox
Introduction to Big Data Course Outline
Defining Big Data
- The four dimensions of Big Data: volume, velocity, variety, veracity
- Introducing the Storage, MapReduce and Query Stack
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
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
- 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
- Messaging with Kafka
- Implementing polyglot data store solutions
- Aligning business goals to the appropriate data store
Integrating disparate data stores
- Mapping data to the programming framework
- Connecting and extracting data from storage
- Transforming data for processing
- Subdividing data in preparation for Hadoop MapReduce
Employing Hadoop MapReduce
- Creating the components of Hadoop
- MapReduce jobs
- Executing Hadoop
- MapReduce jobs
- Monitoring the progress of job flows
The building blocks of Hadoop MapReduce
- Distinguishing Hadoop daemons
- Investigating the Hadoop Distributed File System
- Selecting appropriate execution modes: local, pseudo–distributed and fully distributed
- Accelerating process with Spark
Handling streaming data
- Comparing real–time processing modelsLeveraging Storm to extract live events
- Leveraging Spark Streaming to extract live events
- Combining streaming and batch processing in a Lambda architecture
Abstracting Hadoop MapReduce jobs with Pig
- Communicating with Hadoop in Pig Latin
- Executing commands using the Grunt Shell
- Streamlining high–level processing
Performing ad hoc Big Data querying with Hive
- Persisting metadata in the Hive Metastore
- Performing queries with HiveQL
- Investigating Hive file formats
Creating business value from extracted data
- Visualizing processed results with reporting tools
- Querying in real time with Impala
Defining a Big Data strategy for your organization
- Establishing your Big Data needs
- Meeting business goals with timely data
- Evaluating commercial Big Data tools
- Managing organizational expectations
Enabling analytic innovation
- Focusing on business importance
- Framing the problem
- Selecting the correct tools
- Achieving timely results
- Selecting suitable vendors and hosting options
- Balancing costs against business value
- Keeping ahead of the curve
Introduction to Big Data Training Bundle
This product offers access to:
- 2 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 3-day introduction course.
- At any time during your annual access to this offering, you may attend one of our 1-day course events focused specifically on Big Data Technologies, Trends & Insights Training.
On-Demand Courses
- Mastering Big Data Analytics with PySpark
- Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark
eBooks
- Artificial Intelligence for Big Data
- Big Data Architect's Handbook
- Modern Big Data Processing with Hadoop
- Big Data Processing with Apache Spark
- Practical Big Data Analytics
Unlimited Access Introduction to Big Data Premium Blended Training
The Premium Blended Training offers access to:
On-Demand Courses
- Mastering Big Data Analytics with PySpark
- Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark
eBooks
- Artificial Intelligence for Big Data
- Big Data Architect's Handbook
- Modern Big Data Processing with Hadoop
- Big Data Processing with Apache Spark
- Practical Big Data Analytics
