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O’Reilly – Analyzing Big Data with Hadoop, AWS, and EMR

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O’Reilly – Analyzing Big Data with Hadoop, AWS, and EMR
English | Size: 375.16 MB
Category: Tutoria


Analyzing Big Data with Hadoop, AWS, and EMR
Understanding how to use Hadoop on Amazon’s Elastic MapReduce Service
By Frank Kane
Publisher: O’Reilly Media
Final Release Date: March 2017
Run time: 1 hour 3 minutes

Hadoop is today’s most pervasive technology used in Big Data for distributing the processing of massive data sets across clusters of commodity computers. With Amazon’s Elastic MapReduce service (EMR), you can rent capacity through Amazon Web Services (AWS) to store and analyze data at minimal cost on top of a real Hadoop cluster.
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LiveLessons – PowerShell for Business Intelligence and Big Data Analytics

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LiveLessons – PowerShell for Business Intelligence and Big Data Analytics
English | Size: 1.57 GB
Category: Tutorial


PowerShell for Business Intelligence and Big Data Analytics LiveLessons
by Brien Posey
Publisher: Sams
Release Date: February 2017
The Rough Cuts/Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. [Read more…]

Packt Publishing – Learning Path Big Data Analytics

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Packt Publishing – Learning Path Big Data Analytics
English | Size: 1.51 GB
Category: CBTs


Understanding Big Data Using Hadoop and Spark
Massive amounts of data are being generated everyday, everywhere. As a result, a number of organizations are focusing on big data processing. In this course we’ll help you understand how Hadoop, as an ecosystem, helps us store, process, and analyze data. We will then smoothly move to developing large-scale distributed data processing applications using Apache Spark 2. [Read more…]

O’Reilly – Learning Path Scaling Python for Big Data

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O’Reilly – Learning Path Scaling Python for Big Data
English | Size: 1.62 GB
Category: CBTs


If you have some Python experience, and you want to take it to the next level, this practical, hands-on Learning Path will be a helpful resource. Video tutorials in this Learning Path will show you how to use Python for distributed task processing, and perform large-scale data processing in Spark using the PySpark API.
Table of Contents
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Learning Path – Scaling Python For Big Data

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Learning Path – Scaling Python For Big Data
English | Size: 1.53 GB
Category: Tutorial


If you have some Python experience, and you want to take it to the next level, this practical, hands-on Learning Path will be a helpful resource. Video tutorials in this Learning Path will show you how to use Python for distributed task processing, perform large-scale data processing in Spark using the PySpark API, and tackle machine learning tasks with Python. [Read more…]

Learning Path: A Beginner’s Guide to Architecting Big Data Applications | O’Reilly Media

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Learning Path: A Beginner’s Guide to Architecting Big Data Applications | O’Reilly Media
English | Size:12.83 GB
Category:Tutorial


Whether you’re a data engineer who needs to plan and implement a big data pipeline or a manager interested in learning how tools in the Hadoop technology stack address business goals, these videos will walk you through how to plan your big data solution. You’ll receive an introduction to the concepts of Apache Hadoop, and training on key components including Apache HBase, YARN, Cassandra, Kafka, and Spark. [Read more…]

Techniques and Concepts of Big Data

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Techniques and Concepts of Big Data

English | Size: 326.37 MB (342,227,244 Bytes)
Category: CBTs


Big data is big news. But what is big data, and how do we use it? Simply put, big data is data that, by virtue of its velocity, volume, or variety (the three Vs), cannot be easily stored or analyzed with traditional methods. Spreadsheets and relational databases just don’t cut it with big data. In this course, Barton Poulson tells you the methods that do work, introducing all the techniques and concepts involved in capturing, storing, manipulating, and analyzing big data, including data mining and predictive analytics. He explains big data’s relationship to data science, statistics, and programing; its uses in marketing, scientific research, and tools like Amazon’s recommendation engine; and the ethical issues that lie behind its use. [Read more…]

Big Data Analytics with Apache Spark and Python

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Big Data Analytics with Apache Spark and Python
English | Size: 1.90 GB (2,035,367,476 bytes)
Category: Tutorial


Learn to use Apache Spark to store and analyze data in real time.

“Apache Spark is the hottest Big Data technology today. Its adoption is growing fast and so is the demand for professionals trained in it”.

Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren’t enough training sources to provide easy guidance on building end-to-end solutions.
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Edureka Big Data and Hadoop Tutorial

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Edureka Big Data and Hadoop Tutorial

English | Size: 4.53 GB (4,861,584,733 Bytes)
Category: Tutorial


The Big Data and Hadoop training course from Edureka is designed to enhance your knowledge and skills to become a successful Hadoop developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.
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