×

IBM: Big Data, Hadoop, and Spark Basics

Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare+
Rating

4.5 stars

Duration

6 weeks

Pacing

Self-paced

Pricing

Free

IBM: Big Data, Hadoop, and Spark Basics
Category:

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

Add your review

About this course

Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery, and more, to identify behaviors and preferences of prospects, clients, competitors, and others. ****
This course introduces you to Big Data concepts and practices. You will understand the characteristics, features, benefits, limitations of Big Data and explore some of the Big Data processing tools. You’ll explore how Hadoop, Hive, and Spark can help organizations overcome Big Data challenges and reap the rewards of its acquisition.
Hadoop, an open-source framework, enables distributed processing of large data sets across clusters of computers using simple programming models. Each computer, or node, offers local computation and storage, allowing datasets to be processed faster and more efficiently. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets in various databases and file systems that integrate with Hadoop.
Open-source Apache Spark is a processing engine built around speed, ease of use, and analytics that provides users with newer ways to store and use big data.
You will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the different components that make up Apache Spark. In this course, you will also learn how Resilient Distributed Datasets, known as RDDs, enable parallel processing across the nodes of a Spark cluster.
You’ll gain practical skills when you learn how to analyze data in Spark using PySpark and Spark SQL and how to create a streaming analytics application using Spark Streaming, and more.

At a Glance:
Institution: IBM
Subject: Computer Science
Level: Introductory
Prerequisites:
Computer and IT literacy. Curiosity about how data is managed.
Associated programs:
Professional Certificate in NoSQL, Big Data and Spark Fundamentals
Professional Certificate in Data Engineering
Language: English
Video Transcript: English
Associated skills:Analytical Skills, Data Warehousing, Nodes (Networking), Apache Hadoop, Pyspark, Parallel Processing, Resilience, Satellite Imagery, Unstructured Data, Apache Hive, Apache Spark, Spark Streaming, File Systems, SQL (Programming Language), Big Data

What You’ll Learn:
About this course

Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery, and more, to identify behaviors and preferences of prospects, clients, competitors, and others. ****
This course introduces you to Big Data concepts and practices. You will understand the characteristics, features, benefits, limitations of Big Data and explore some of the Big Data processing tools. You’ll explore how Hadoop, Hive, and Spark can help organizations overcome Big Data challenges and reap the rewards of its acquisition.
Hadoop, an open-source framework, enables distributed processing of large data sets across clusters of computers using simple programming models. Each computer, or node, offers local computation and storage, allowing datasets to be processed faster and more efficiently. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets in various databases and file systems that integrate with Hadoop.
Open-source Apache Spark is a processing engine built around speed, ease of use, and analytics that provides users with newer ways to store and use big data.
You will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the different components that make up Apache Spark. In this course, you will also learn how Resilient Distributed Datasets, known as RDDs, enable parallel processing across the nodes of a Spark cluster.
You’ll gain practical skills when you learn how to analyze data in Spark using PySpark and Spark SQL and how to create a streaming analytics application using Spark Streaming, and more.

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “IBM: Big Data, Hadoop, and Spark Basics”

Your email address will not be published. Required fields are marked *

IBM: Big Data, Hadoop, and Spark Basics
IBM: Big Data, Hadoop, and Spark Basics
Edcroma
Logo
Compare items
  • Total (0)
Compare
0
https://login.stikeselisabethmedan.ac.id/produtcs/
https://hakim.pa-bangil.go.id/
https://lowongan.mpi-indonesia.co.id/toto-slot/
https://cctv.sikkakab.go.id/
https://hakim.pa-bangil.go.id/products/
https://penerimaan.uinbanten.ac.id/
https://ssip.undar.ac.id/
https://putusan.pta-jakarta.go.id/
https://tekno88s.com/
https://majalah4dl.com/
https://nana16.shop/
https://thamuz12.shop/
https://dprd.sumbatimurkab.go.id/slot777/
https://dprd.sumbatimurkab.go.id/
https://cctv.sikkakab.go.id/slot-777/
https://hakim.pa-kuningan.go.id/
https://hakim.pa-kuningan.go.id/slot-gacor/
https://thamuz11.shop/
https://thamuz15.shop/
https://thamuz14.shop/
https://ppdb.smtimakassar.sch.id/
https://ppdb.smtimakassar.sch.id/slot-gacor/
slot777
slot dana
majalah4d
slot thailand
slot dana
rtp slot
toto slot
slot toto
toto4d
slot gacor
slot toto
toto slot
toto4d
slot gacor
tekno88
https://lowongan.mpi-indonesia.co.id/
https://thamuz13.shop/
https://www.alpha13.shop/
https://perpustakaan.smkpgri1mejayan.sch.id/
https://perpustakaan.smkpgri1mejayan.sch.id/toto-slot/
https://nana44.shop/
https://sadps.pa-negara.go.id/
https://sadps.pa-negara.go.id/slot-777/
https://peng.pn-baturaja.go.id/
https://portalkan.undar.ac.id/
https://portalkan.undar.ac.id/toto-slot/
https://penerimaan.ieu.ac.id/
https://sid.stikesbcm.ac.id/