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Introduction To Big Data by Big Data Trunk - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Introduction To Big Data by Big Data Trunk (/Thread-Introduction-To-Big-Data-by-Big-Data-Trunk) |
Introduction To Big Data by Big Data Trunk - OneDDL - 02-21-2024 ![]() Free Download Introduction To Big Data by Big Data Trunk Published 2/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 441.18 MB | Duration: 2h 4m Big Data What you'll learn Introduction To Big Data Understand the History and background of Big data and Hadoop Describe the Big Data landscape including examples of real world big data problems Explain the 5 V's of Big Data (volume, velocity, variety, veracity, and value Understand the foundational principles that have made Big Data so successful Requirements Basic Programming knowledge, SQL and Data knowledge preferred Description Overview : The Introduction to Big Data course is the first stop in the Big Data curriculum series coming up at Stanford. It will help you get started with the background and introduction of the history of the Big Data.Description:The 'Introduction to Big Data' course is your gateway to the dynamic world of Big Data and Spark. Dive into the history and fundamentals of Big Data, gaining insights into Big Data Ecosystem technologies, including HDFS, MapReduce, Sqoop, Flume, Hive, Pig, Mahout for Machine Learning, R Connector, Ambari, Zookeeper, Oozie, and No-SQL tools like HBase. This course offers an in-depth understanding of the Big Data ecosystem, both pre and post Apache Spark era. Learn the core fundamentals and architecture of Spark and put your knowledge into practice on the Apache Spark Databricks Cloud. Get started on your Big Data journey.Learning Outcome : In this Course you'll get an introduction to working with Big Data Ecosystem technologies (HDFS, MapReduce, Sqoop, Flume, Hive, Pig, Mahout (Machine Learning), R Connector, Ambari, Zookeeper, Oozie and No-SQL like HBase) for Big Data scenarios.Understand the History and background of Big data and HadoopDescribe the Big Data landscape including examples of real world big data problemsExplain the 5 V's of Big Data (volume, velocity, variety, veracity, and value) Overview Section 1: Introduction Lecture 1 Data Types Lecture 2 V Views of Big Data Lecture 3 History of Hadoop Lecture 4 What is Hadoop Lecture 5 Hadoop Eco System & Hadoop Components Lecture 6 Big Data Ecosystem Lecture 7 Big Data Storage Lecture 8 Big Data Flavor Lecture 9 Big Data on Cloud Lecture 10 Spark EssentialIn (Challenges with Mapreduce) Lecture 11 What is Apache Spark Lecture 12 Big Data after Spark Ecosystem Lecture 13 Spark Feature & Spark Components Lecture 14 Spark Landscape (Spark in Databricks) This course is designed for anyone willing to develop a foundation for Big Data. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |