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Introduction to Big Data Training
Level: Foundation
Rating:
4.49/5 Based on 154 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. 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.
NEW! DATA SCIENCE BUNDLES NOW AVAILABLE
This course is now available as part of a multi-course, blended learning premium training bundle for a limited time! Take your Data Science skills and career to the next level with multi-modal learning path bundles that lead to certification.
Key Features of this Introduction to Big Data
- Choose from blended on-demand and instructor-led learning options
- 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 and Spark 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
BLENDED LEARNING
On Demand & Live Review Session
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
Standard $1090/Year USD
Government $1090/Year USD
ADD TO CARTPRODUCT #70H3
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- After-course computing sandbox
PREMIUM TRAINING
Unlimited Access to Everything
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- Learning Tree end-of-course exam included
- After-course computing sandbox included
Standard $2950/Year USD
Government $2950/Year USD
ADD TO CARTPRODUCT #70H4
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
Customize Your Team Training Experience
CONTACT USSave More On Training with FlexVouchers – A Unique Training Savings Account
Our FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.
On Demand & Live Review Session
Introduction to Big Data Blended Training Information
This product offers access to 2 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 3-day 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 Insights, Technologies & Trends (4500).
On-Demand Training Content
-
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
Introduction to Big Data FAQs
-
What background do I need for this Introduction to Big Data?
Working knowledge of the Microsoft Windows platform and basic database concepts.
Typical job roles include: Project and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence.
-
Where does Big Data fit in my data science training?
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilize the data in order to draw conclusions and gain insights from it.
-
Is the on-demand content the same as the 3-day instructor class?
No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats. -
What on-demand content will I receive?
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrollment period. -
Does this include any practical, hands-on learning?
Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practice as you read and watch. -
How will I access my course materials if I choose this method?
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started. -
How can I sign up for a review session of this Introduction to Big Data?
Once you are enrolled in the program, specific details and dates will be sent to you.
Instructor-Led Training
You'll be able to register for an Instructor-Led Training Session at any time after you've placed your order.
-
Sep 27
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare) -
Jan 25
(1 Day)
9:00 AM - 4:30 PM EST Online (AnyWare) -
Apr 4
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare) -
Jun 27
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare)
In Class & Live, Online Training
Time Zone Legend:
Note: This course runs for 3 Days
-
Oct 27 - 29 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
Reserve Your Seat -
Feb 9 - 11 9:00 AM - 4:30 PM EST New York / Online (AnyWare)
Reserve Your Seat -
Apr 20 - 22 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
Reserve Your Seat
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 — will run. Guaranteed.Important Introduction to Big Data Course Information
-
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 ›
-
Recommended Experience
- Working knowledge of the Microsoft Windows platform and basic database concepts
-
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
-
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.
Important Introduction to Big Data Course Outline
-
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
-
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
- 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
-
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
- 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
-
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 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
-
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
-
Implementing a Big Data Solution
- Selecting suitable vendors and hosting options
- Balancing costs against business value
- Keeping ahead of the curve
Introduction to Big Data FAQs
-
What is big data?
Big data is a term used to define data sets that have the potential to rapidly grow so large that they become unmanageable. The Big Data movement includes new tools and ways of storing information that allow efficient processing and analysis for informed business decision-making. -
What is the difference between big data and machine learning?
Big data refers to the data set that has huge, and growing, volume that can quickly become unwieldy. Machine learning is a subsection of Artificial Intelligence (AI) that can help you extract value from big data to solve problems. -
How does big data help businesses?
Understanding how to work with big data can help you glean useful insights from large amounts of data, which can help you and your organization make better business decisions. -
Where does Big Data fit in my data science training?
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilize the data in order to draw conclusions and gain insights from it.
-
Does Learning Tree offer this Introduction to Big data online?
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.
Unlimited Access to Everything
Time Zone Legend:
Note: This course runs for 3 Days
-
Oct 27 - 29 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
-
Feb 9 - 11 9:00 AM - 4:30 PM EST New York / Online (AnyWare)
-
Apr 20 - 22 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
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 — will run. Guaranteed.Introduction to Big Data Unlimited Access Training Information
-
Course Description
This product offers access to 2 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 3-day 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 Insights, Technologies & Trends (4500). Enrolling in this bundle also grants you access to any of our multi-day Introduction to Big Data (1250) course events.
-
How to Schedule Your Instructor-Led Training
Once payment is received, you will receive details for your Unlimited Access Training Bundle via email. At that time, you may call or email our customer service team for assistance in enrolling in the event date of your choice.
On-Demand Training Outline
-
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
Big Data Training FAQs
-
What background do I need for this Introduction to Big Data?
Working knowledge of the Microsoft Windows platform and basic database concepts.
Typical job roles include: Project and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence.
-
Where does Big Data fit in my data science training?
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilize the data in order to draw conclusions and gain insights from it.
-
Is the on-demand content the same as the 3-day instructor class?
No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats. -
What on-demand content will I receive?
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrollment period. -
Does this include any practical, hands-on learning?
Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practice as you read and watch. -
How will I access my course materials if I choose this method?
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started. -
How can I sign up for a review session of this Introduction to Big Data?
Once you are enrolled in the program, specific details and dates will be sent to you. -
How do I schedule my instructor-led training?
Once payment is received, you will receive details for your Unlimited Access Training Bundle via email. At that time, you may call or email our customer service team for assistance in enrolling in the event date of your choice.
Instructor-Led Training
You'll be able to register for an Instructor-Led Training Session at any time after you've placed your order.
-
Sep 27
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare) -
Jan 25
(1 Day)
9:00 AM - 4:30 PM EST Online (AnyWare) -
Apr 4
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare) -
Jun 27
(1 Day)
9:00 AM - 4:30 PM EDT Online (AnyWare)
Team Training
Data Science
Bundled Training
Extend learning beyond a single event with bundled content designed for real-world application.
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