Coursera – NoSQL, Big Data, and Spark Foundations Specialization
Free Download Coursera – NoSQL, Big Data, and Spark Foundations Specialization
Last updated 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 93 Lessons ( 9h 5m ) | Size: 912 MB
Springboard your Big Data career. Master fundamentals of NoSQL, Big Data, and Apache Spark with hands-on job-ready skills in machine learning and data engineering.


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Apache Spark 2.0 with Java –Learn Spark from a Big Data Guru
Free Download Apache Spark 2.0 with Java –Learn Spark from a Big Data Guru
Duration: 3h 27m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.29 GB
Genre: eLearning | Language: English
Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
What you'll learn


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Apache Spark Certification Training
Free Download Apache Spark Certification Training
Released 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 99 Lessons ( 15h 13m ) | Size: 4 GB
A premium PySpark course to prepare you for becoming a Databricks Certified Associate Developer


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Pyspark Crash Course – Learn Spark, Quickly!
Free Download Pyspark Crash Course – Learn Spark, Quickly!
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 2h 1m
Accelerate Your Data Skills: Dive into PySpark!


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Master Big Data – Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo
Free Download Master Big Data – Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo
Last updated 2/2023
Duration: 11h 17m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.19 GB
Genre: eLearning | Language: English
In-depth course on Big Data - Apache Spark , Hadoop , Sqoop , Flume & Apache Hive, MongoDB & Big Data Cluster setup


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Spark Project On Cloudera Hadoop(Cdh) And Gcp For Beginners
Free Download Spark Project On Cloudera Hadoop(Cdh) And Gcp For Beginners
Last updated 4/2021
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.54 GB | Duration: 10h 54m
Building Data Processing Pipeline Using Apache NiFi, Apache Kafka, Apache Spark, Cassandra, MongoDB, Hive and Zeppelin


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Spark Programming in Python for Beginners – Apache Spark 3
Free Download Spark Programming in Python for Beginners – Apache Spark 3
Published 7/2023
Created by SKILL CURB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch


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Getting Started with Apache Spark on Databricks
Free Download Getting Started with Apache Spark on Databricks
Janani Ravi | Duration: 1:52 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 227 MB | Language: English
This course will introduce you to analytical queries and big data processing using Apache Spark on Azure Databricks. You will learn how to work with Spark transformations, actions, visualizations, and functions using the Databricks Runtime.
Azure Databricks allows you to work with big data processing and queries using the Apache Spark unified analytics engine. With Azure Databricks you can set up your Apache Spark environment in minutes, autoscale your processing, and collaborate and share projects in an interactive workspace.
In this course, Getting Started with Apache Spark on Databricks, you will learn the components of the Apache Spark analytics engine which allows you to process batch as well as streaming data using a unified API. First, you will learn how the Spark architecture is configured for big data processing, you will then learn how the Databricks Runtime on Azure makes it very easy to work with Apache Spark on the Azure Cloud Platform and will explore the basic concepts and terminology for the technologies used in Azure Databricks.


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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Free Download Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way by Manoj Kukreja, Danil Zburivsky
English | October 22, 2021 | ISBN: 1801077746 | 480 pages | MOBI | 43 Mb
Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data


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