Big Data Hadoop Course With Spark & Scala
Published 7/2026
Created by Tutorac Inc
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 124 Lectures ( 14h 24m ) | Size: 12.2 GB
Master Big Data, Hadoop, HDFS, MapReduce, YARN, Apache Pig, Hive, Spark, Scala & Distributed Data Processing.
What you'll learn
Understand Big Data concepts, analytics, and Hadoop architecture. Store and manage distributed data using Hadoop Distributed File System (HDFS). Process large datasets using MapReduce and YARN. Analyze data using Apache Pig, Pig Latin, and Apache Hive.Requirements
Basic knowledge of programming concepts is recommended. Familiarity with Linux commands is helpful but not required. A computer with internet access. Basic understanding of databases is beneficial but not mandatory.Description
The "Big Data Hadoop Course With Spark & Scala" is your ultimate guide to mastering big data technologies. This comprehensive course is perfect for both beginners and experienced professionals who aim to leverage the power of Hadoop, Spark, and Scala to manage and analyze large datasets effectively.
You'll start with the fundamentals ofHadoop, understanding its architecture, and learning how to set up the Hadoop ecosystem. You'll exploreHDFS (Hadoop Distributed File System) andMapReduce to process and store large volumes of data. This course also covers essential tools likeHive,Pig, andHBase for data management and querying.
Course Highlights
Hadoop Fundamentals: Learn the architecture and ecosystem of Hadoop.HDFS: Understand the Hadoop Distributed File System for storing large datasets.MapReduce: Master the core concept of processing data in Hadoop.Hive & Pig: Use these tools for querying and managing data.HBase: Dive into Hadoop's non-relational database for real-time data processing.As you progress, you'll dive intoApache Spark, a powerful open-source processing engine for big data. You'll learn how to use Spark for real-time data processing and analytics, and understand its components likeSpark SQL,Spark Streaming,MLlib (Machine Learning Library), andGraphX for graph processing. Additionally, you'll masterScala, the programming language used to write Spark applications.
Advanced Topics
Apache Spark: Harness the power of Spark for real-time data processing.Spark SQL: Perform SQL queries on large datasets.Spark Streaming: Process real-time data streams.MLlib: Implement machine learning algorithms.GraphX: Manage graph processing with Spark.By the end of this course, you'll be proficient in using Hadoop, Spark, and Scala to manage and analyze large datasets, making you a valuable asset in any organization.
Join us and become an expert in big data technologies today!
Who this course is for
Software Developers interested in Big Data technologies. Data Engineers and aspiring Big Data Engineers. Data Analysts who want to work with Hadoop and Spark. IT professionals looking to build Big Data skills.HomepagePlease Login or Register to see this code Please Login or Register to see this code