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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.
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.
BLENDED LEARNING
Unlimited annual access to:
LIVE, INSTRUCTOR-LED
PREMIUM TRAINING
Unlimited annual access to:
TRAINING AT YOUR SITE
Customize Your Team Training Experience
CONTACT USOur 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.
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).
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.
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.
You'll be able to register for a Training Review Session at any time after you've placed your order.
Mar 30 - Apr 1
9:00 AM - 4:30 PM EDT
Online (AnyWare)
May 5 - 7
9:00 AM - 4:30 PM EDT
Online (AnyWare)
Jun 28 - 30
9:00 AM - 4:30 PM EDT
Toronto / Online (AnyWare)
Aug 18 - 20
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare)
Oct 27 - 29
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare)
Jan 5 - 7
9:00 AM - 4:30 PM EST
Toronto / Online (AnyWare)
Feb 9 - 11
9:00 AM - 4:30 PM EST
New York / 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.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 ›
Defining Big Data
Delivering business benefit from Big Data
Analyzing your data characteristics
Overview of Big Data stores
Selecting Big Data stores
Integrating disparate data stores
Employing Hadoop MapReduce
The building blocks of Hadoop MapReduce
Handling streaming data
Abstracting Hadoop MapReduce jobs with Pig
Performing ad hoc Big Data querying with Hive
Creating business value from extracted data
Defining a Big Data strategy for your organization
Enabling analytic innovation
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.
Mar 30 - Apr 1 9:00 AM - 4:30 PM EDT Online (AnyWare)
May 5 - 7 9:00 AM - 4:30 PM EDT Online (AnyWare)
Jun 28 - 30 9:00 AM - 4:30 PM EDT Toronto / Online (AnyWare)
Aug 18 - 20 9:00 AM - 4:30 PM EDT New York / Online (AnyWare)
Oct 27 - 29 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
Jan 5 - 7 9:00 AM - 4:30 PM EST Toronto / Online (AnyWare)
Feb 9 - 11 9:00 AM - 4:30 PM EST New York / 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.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.
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.
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.
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.
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.
You'll be able to register for a Training Review Session at any time after you've placed your order.
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Data Science
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