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Packt – Hands-On SQL Server 2019 Big Data Clusters with Spark

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Packt – Hands-On SQL Server 2019 Big Data Clusters with Spark-JGTiSO
English | Size: 428.89 MB
Category: CBTs


Learn
Understand what SQL Server Big data clusters are
Set up SQL server 2019 big data with Spark
Use installation tools to help set up SQL server 2019 Big Data with Spark
Properly deploy Azure Kubernetes Service
Implement security in SQL server 2019 big data with Spark
See how to connect to a big data cluster
Know how the cluster administration portal works
Get Kubernetes troubleshooting tricks and tips
Implement Spark jobs
About
A SQL server big data cluster is a cluster of Linux containers orchestrated by Kubernetes. Starting with SQL Server 2019, SQL server big data clusters allow you to deploy scalable clusters of SQL Server, Spark, and HDFS containers running on Kubernetes. This enables you to read, write, and process big data from T-SQL or Spark, allowing you to easily combine and analyze high-value relational data with high-volume big data. [Read more…]

LINKEDIN LEARNING Introduction to Spark SQL and DataFrames-BiFiSO

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LINKEDIN LEARNING INTRODUCTION TO SPARK SQL AND DATAFRAMES-BiFiSO
English | Size: 273.43 MB
Category: Tutorial


Explore DataFrames, a widely used data structure in Apache Spark. DataFrames allow Spark developers to perform common data operations, such as filtering and aggregation, as well as advanced data analysis on large collections of distributed data. With the addition of Spark SQL, developers have access to an even more popular and powerful query language than the built-in DataFrames API. In this course, instructor Dan Sullivan shows how to perform basic operations-loading, filtering, and aggregating data in DataFrames-with the API and SQL, as well as more advanced techniques that are easily performed in SQL. In this section of the course, Dan explains how to join data, eliminate duplicates, and deal with null or NA values. The lessons conclude with three in-depth examples of using DataFrames for data science: exploratory data analysis, time series analysis, and machine learning. [Read more…]

TECHNICS APACHE SPARK BEYOND THE BASICS TUTORIAL

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TECHNICS APACHE SPARK BEYOND THE BASICS TUTORIAL
English | Size: 520.17 MB
Category: Tutorial


| Writing Spark-SQL. This first clip in the Advanced Apache Spark video series covers Spark SQL. Also master SchemaRDD, which provides support for structured and semi-structured data Joining Tables in Apache Spark. This second clip in the Advanced Apache Spark video series explains how to join tables in Apache Spark Adding Columns and Checkpointing, and Performing Debugging in Apache Spark. This third clip in the Advanced Apache Spark video explains how to add columns and checkpoints in Spark, as well as how to perform debugging on your application code [Read more…]

SKILLSHARE BIG DATA ANALYSIS WITH APACHE SPARK PYSPARK PYTHON

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SKILLSHARE BIG DATA ANALYSIS WITH APACHE SPARK PYSPARK PYTHON
English | Size: 337.27 MB
Category: Tutorial


Spark can perform up to 100x faster than Hadoop MapReduce Data processing framework, Which makes apache spark one of most demanded skills.

The top companies like Google, Facebook, Microsoft, Amazon, Airbnb using Apache Spark to solve their big data problems!. Data analysis, on huge amount of data is one of the most valuable skills now a days and This course will teach such kind of skills to complete in big data job market. [Read more…]

Packt Apache Spark in 7 Days

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Packt Apache Spark in 7 Days
English | Size: 755.47 MB
Category: Tutorial


Video Description
If you’re looking to get up to speed with learning the fundamentals of Apache Spark in a short period of time, you can count on this course to help you learn the basics of this engine. Spark is becoming a popular big data processing engine with its unique ability to run in-memory with excellent speed. It is also easy to use and offers simple syntax.
[Read more…]

Pluralsight – Applying the Lambda Architecture with Spark, Kafka, and Cassandra

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Pluralsight – Applying the Lambda Architecture with Spark, Kafka, and Cassandra
English | Size: 1.07 GB
Category: CBTs


This course aims to get beyond all the hype in the big data world and focus on what really works for building robust, highly-scalable batch and real-time systems. In this course, Applying the Lambda Architecture with Spark, Kafka, and Cassandra, you’ll string together different technologies that fit well and have been designed by some of the companies with the most demanding data requirements (such as Facebook, Twitter, and LinkedIn) to companies that are leading the way in the design of data processing frameworks, like Apache Spark, which plays an integral role throughout this course. You’ll look at each individual component and work out details about their architecture that make them good fits for building a system based on the Lambda Architecture. You’ll continue to build out a full application from scratch, starting with a small application that simulates the production of data in a stream, all the way to addressing global state, non-associative calculations, application upgrades and restarts, and finally presenting real-time and batch views in Cassandra. When you’re finished with this course, you’ll be ready to hit the ground running with these technologies to build better data systems than ever. [Read more…]

Lynda – Spark for Machine Learning & AI

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Lynda – Spark for Machine Learning & AI
English | Size: 222.58 MB
Category: AI


Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. Instructor Dan Sullivan discusses MLlib-the Spark machine learning library-which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. He shows how to use DataFrames to organize data structure, and he covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. By the end of the course, you will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.
[Read more…]

Carlos Xuma Sexual Spark System [.MP4]

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Carlos Xuma Sexual Spark System [.MP4]
English | Size: 1.37 GB
Category: Tutorial


This system by Carlos Xuma shows men how to trigger instant sexual attraction and addiction in a woman, and supercharge her sexual desires. It is designed to tap into a woman’s addictive habits in order to become her desired obsession.
Some of the areas covered:
– The words to bypass a woman’s rejection reflex
– How to get a woman to feel genuine sexual desire for you
– A technique to know when a woman is ready to sleep with you
– How to get you out of the friend zone and create an instant bond with a woman
[Read more…]

Packt Publishing – Spark for Machine Learning [Video]

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Packt Publishing – Spark for Machine Learning [Video]
English | Size: 294.01 MB
Category: Tutorial


Spark lets you apply machine learning techniques to data in real time, giving users immediate machine-learning based insights based on what’s happening right now. Using Spark, we can create machine learning models and programs that are distributed and much faster compared to standard machine learning toolkits such as R or Python.
[Read more…]

Lynda – Apache Spark Essential Training – Big Data Engineering

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Lynda – Apache Spark Essential Training – Big Data Engineering
English | Size: 368.79 MB
Category: Tutorial


In order to construct data pipelines and networks that stream, process, and store data, data engineers and data-science DevOps specialists must understand how to combine multiple big data technologies. In this course, discover how to build big data pipelines around Apache Spark. Join Kumaran Ponnambalam as he takes you through how to make Apache Spark work with other big data technologies. He covers the basics of Apache Kafka Connect and how to integrate it with Spark for real-time streaming. In addition, he demonstrates how to use the various technologies to construct an end-to-end project that solves a real-world business problem. [Read more…]