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Big Data

Virtual Live Big Data Training Classes and Remote Seminars

Listing 12 live big data training courses delivered remotely. Our virtual big data training is live and interactive.   Learn more.

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Customized Virtual Group Big Data Training

If you've got a remote team to train, we're ready to help you get started. TrainUp.com specializes in organizing virtual live Big Data training for teams, departments, and enterprise.

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Virtual Live Big Data Courses and Remote Big Data Training Classes

Listing 12 live big data training courses delivered remotely. Our virtual big data training is live and interactive.

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Big Data on AWS
In this course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for s...
# of Virtual Event(s)
2
# of Virtual Event(s)
2 EVENTS
Duration
3 days
Duration
3 days
Price: $2095 VIEW DETAILS

Data Science Overview | Technologies, Tools, and Roles in the Data-Driven Enterprise
This foundation-level level course introduces the multi-disciplinary Data Science team to the many evolving and related terms. It includes a focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, and Data Warehousing. YouÆll also explore the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting of possible outcomes for your investment. This course provides a high...
# of Virtual Event(s)
10
# of Virtual Event(s)
10 EVENTS
Duration
1 day
Duration
1 day
Price: $895 VIEW DETAILS

Introduction to Big Data
<h3>Introduction to Big Data</h3> <h4>Defining Big Data</h4> <ul> <li>The four dimensions of Big Data: volume, velocity, variety, veracity </li><li>Introducing the Storage, MapReduce and Query Stack </li></ul> <h4>Delivering business benefit from Big Data</h4> <ul> <li>Establishing the business importance of Big Data </li><li>Addressing the challenge of extracting useful data </li><li>Integrating Big Data with traditional data </li></ul> <h3>Storing Big Data</h3> <h4>Analyzing your...
# of Virtual Event(s)
3
# of Virtual Event(s)
3 EVENTS
Duration
3 days
Duration
3 days
Price: $2650 VIEW DETAILS

Big Data Fundamentals
This course is a survey of big data û the landscape, the technology behind it, business drivers, and strategic possibilities. ôBig dataö is a hot buzzword, but most organizations struggle to put it to practical use. Without assuming any prior knowledge of Apache Hadoop or big data management, this course teaches you how to use and manage the benefits of big data.á...
# of Virtual Event(s)
6
# of Virtual Event(s)
6 EVENTS
Duration
2 days
Duration
2 days
Price: $1495 VIEW DETAILS

Microsoft Azure Big Data Analytics Solutions
55224A-1 is a two-day instructor-led course is intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure.  Students will learn how to design solutions for batch and real-time data processing.  Different methods of using Azure will be discussed and practiced in lab exercises, such Azure CLI, Azure PowerShell and Azure Portal.  55224A-1 labs and exercises cover the first two objectives of exam 70-475 (Designing Big Data batch, ...
# of Virtual Event(s)
1
# of Virtual Event(s)
1 EVENTS
Duration
2 days
Duration
2 days
Price: $1545 VIEW DETAILS

Practical Data Science with Amazon SageMaker
This one day course covers to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment. This course includes AWS Training Exclusives.ááLearn more!...
# of Virtual Event(s)
1
# of Virtual Event(s)
1 EVENTS
Duration
1 day
Duration
1 day
Price: $695 VIEW DETAILS

TrainUp.com is your one-stop source for the best virtual big data training and live courses nationwide. Start your search now and browse among 4 live instructor-led big data training classes near you, from the industry's best big data training companies such as SkillSoft, Global Knowledge, and TrainUp.com TrainUp.com also lists more than 112 self-paced online big data training courses, micro-learning videos, and eLearning bundles. If you have a team to train, we can conduct a course just for you. Check out our onsite on-site big data training page to request a custom virtual or in-person training quote today.

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Big Data Courses and Workshops

Big Data is the term used to describe large volumes of structured and/or unstructured data that can be analyzed to extract business information and insights. Companies leverage big data analytics to make better decisions and solve critical business challenges.  Data Scientists jobs are on the rise as they provide the human element to help make sense of the large volumes of data companies mine and collect. 

Typically, datasets are so extensive it cannot be analyzed by traditional data-processing software. The components involved in big data include capturing data, data storage, data / predictive analysis, reporting, visualization, querying, information privacy and data source.

The vendors offering big data technologies is growing every day. Some of the big data solutions that are popular right now include Hadoop, Spark, and R. Specialists describe the breadth and depth of big data in three different dimensions: the extensive volume of data, the wide variety of data types and the velocity at which the data is processed.

Such data can originate from various sources, such as business transactions, customer databases, medical records, internet clickstream logs, mobile apps, social networks, machine-generated data and real-time data sensors used in internet of things (IoT) environments.


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