Tag: SPARK

Free Download The Breakthrough Manifesto: Ten Principles to Spark Transformative Innovation
English | 2024 | ISBN: 1394207034 | 285 Pages | PDF | 17 MB
Innovation is a process by which new ideas, services, and sources of value are brought to life. Yet approaches to the pursuit of innovation often rely on stale methodologies. Transformative innovation requires something else. Not just methodologies, but mindsets. Not just focusing on known challenges, but on unknown opportunities. Not just hoping for breakthrough by default, but realizing breakthrough by design.

Free Download Spark to Park: Making the Most of Your Electric Vehicle Experience: Key Insights and Pro Tips for Seamless EV Maintenance
by Michael Avery
English | November 4, 2023 | ISBN: 8866521949 | 44 pages | PDF | 6.64 Mb

Free Download Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing by Alfonso Antolínez García
English | June 6, 2023 | ISBN: 1484293797 | 416 pages | MOBI | 9.24 Mb
This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark’s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3’s new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you’ll learn about Apache Spark Streaming’s execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and notebooks hosted on GitHub, this book will give you an understanding of large-scale data analysis concepts-and help you put them to use.

Free Download Pyspark Crash Course – Learn Spark, Quickly!
Published 12/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 2h 1m
Accelerate Your Data Skills: Dive into PySpark!

Free Download Spark from A to Z with Scala
Published 11/2023
Created by Aymeric Neuvy
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 16m ) | Size: 1.71 GB

Free Download Microsoft Fabric – Apache Spark and Notebooks
Published 10/2023
Created by Randy Minder
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 43m ) | Size: 1.88 GB

Free Download Introduction to Spark SQL and DataFrames
Duration: 1h 53m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 275 MB
Level: Intermediate | Genre: eLearning | Language: English
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.
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Free Download Azure Spark Databricks Essential Training
Duration: 2h 52m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 469 MB
Level: Intermediate | Genre: eLearning | Language: English
Apache Spark and Microsoft Azure are two of the most in-demand platforms and technology sets in use by today’s data science teams. These two platforms join forces in Azure Databricks‚ an Apache Spark-based analytics platform designed to make the work of data analytics easier and more collaborative. In this course, Lynn Langit digs into patterns, tools, and best practices that can help developers and DevOps specialists use Azure Databricks to efficiently build big data solutions on Apache Spark. Lynn covers how to set up clusters and use Azure Databricks notebooks, jobs, and services to implement big data workloads. She also explores data pipelines with Azure Databricks-including how to use ML Pipelines-as well as architectural patterns for machine learning.
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Free Download Adobe Spark Basics
Last updated 8/2023
Duration: 58m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 478 MB
Genre: eLearning | Language: English
Everything you need to know about Adobe Spark

Free Download Big Data with Apache Spark and AWS
Last updated 4/2023
Duration: 2h 19m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 930 MB
Genre: eLearning | Language: English
Learn the latest Big Data technology – Build, and execute real-world Big Data solutions using Spark and AWS.