Introduction to Big Data Training
Level: Foundation
RATING:
4.56/5 Based on 718 Reviews
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 what a tool can do, but what you can do with the output from the tool. Gain the skills you need to store, manage, process, and analyze massive amounts of unstructured data to create an appropriate data lake.
Key Features of this Intro to Big Data Training:
- Learn Big Data Analytics
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
- After-course computing sandbox included
You Will Learn How To:
- Store, manage, and analyze unstructured data
- Select the correct big data stores for disparate data sets
- Process large data sets using Hadoop to extract value
- Query large data sets in near real time with Pig and Hive
- Plan and implement a big data strategy for your organization
Certifications/Credits:
Choose the Intro to Big Data Training Solution That Best Fits Your Individual Needs or Organizational Goals
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 3-day instructor-led training course
- Earn 17 NASBA credits (live, in-class training only)
- One-on-one after-course instructor coaching
- After-course computing sandbox
TRAINING AT YOUR SITE
Team Training
- Bring this or any training to your organization
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
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In Class & Live, Online Training
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Aug 22 - 24 (3 Days)
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Aug 29 - 31 (3 Days)
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Aug 21 - 23 (3 Days)
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.Important Intro to Big Data Course Information
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Big Data Training Course Description
In this hands-on Introduction to Big Data Course, learn to leverage big data analysis tools and techniques to foster better business decision-making – before you get into specific products like Hadoop training (just to name one). Learn ways of storing data that allow for efficient processing and analysis, and gain the skills you need to store, manage, process, and analyze massive amounts of unstructured data to create an appropriate data lake.
View this Big Data training course as part of a learning path defined by job roles ›
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Recommended Experience
- Working knowledge of the Microsoft Windows platform and basic database concepts
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Who Should Attend
- Anyone needing to implement, enhance your big data environment and looking to advance their analytics career by ensuring foundational knowledge
- Typical job roles include: Project Managers and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence
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All-Inclusive: After-Course Coaching for Real-World Application
Learning Tree is with you from the beginning of your planning until you return to your job ready to apply your new skills – with instructor coaching to answer real-world big data implementation challenges. -
Take Your Big Data Course Online or In-person:
Schedules are busy, but big data training online makes it easy to level-up your career. If you need Big Data online training, we’ve got you covered. Our AnyWare course delivery option gives you the advantages of a live classroom right from the comfort of your computer screen – no matter where you are.
Intro to Big Data Course Outline
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Introduction to Big Data
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
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Storing Big 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
- 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
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Processing Big Data
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
- Distributing data processing across server farms
- 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
Handling streaming data
- Comparing real–time processing models
- Leveraging Storm to extract live events
- Lightning–fast processing with Spark and Shark
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Tools and Techniques to Analyze Big Data
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 data in the Hive MegaStore
- Performing queries with HiveQL
- Investigating Hive file formats
Creating business value from extracted data
- Mining data with Mahout
- Visualizing processed results with reporting tools
- Querying in real time with Impala
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Developing a Big Data Strategy
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
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Implementing a Big Data Solution
- Selecting suitable vendors and hosting options
- Balancing costs against business value
- Keeping ahead of the curve
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Big Data Training FAQs
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