Apache Hadoop 3 Quick Start Guide Ebook Tooltip Ebooks kunnen worden gelezen op uw computer en op daarvoor geschikte e-readers. Learn about big data processing and analytics
Afbeeldingen
Sla de afbeeldingen overArtikel vergelijken
- Engels
- E-book
- 9781788994347
- 31 oktober 2018
- Adobe ePub
Samenvatting
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem
Key Features- Set up, configure and get started with Hadoop to get useful insights from large data sets
- Work with the different components of Hadoop such as MapReduce, HDFS and YARN
- Learn about the new features introduced in Hadoop 3
Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS.
The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems.
The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring.
You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark.
By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
What you will learn- Store and analyze data at scale using HDFS, MapReduce and YARN
- Install and configure Hadoop 3 in different modes
- Use Yarn effectively to run different applications on Hadoop based platform
- Understand and monitor how Hadoop cluster is managed
- Consume streaming data using Storm, and then analyze it using Spark
- Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka
Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.
Productspecificaties
Inhoud
- Taal
- en
- Bindwijze
- E-book
- Oorspronkelijke releasedatum
- 31 oktober 2018
- Ebook Formaat
- Adobe ePub
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Hrishikesh Vijay Karambelkar
- Hoofduitgeverij
- Packt Publishing
Lees mogelijkheden
- Lees dit ebook op
- Desktop (Mac en Windows) | Kobo e-reader | Android (smartphone en tablet) | iOS (smartphone en tablet) | Windows (smartphone en tablet)
Overige kenmerken
- Editie
- 1
- Studieboek
- Nee
EAN
- EAN
- 9781788994347
Je vindt dit artikel in
- Categorieën
- Beschikbaar in Kobo Plus
- Beschikbaar in Kobo Plus
- Beschikbaarheid
- Leverbaar
- Taal
- Engels
- Boek, ebook of luisterboek?
- Ebook
Kies gewenste uitvoering
Prijsinformatie en bestellen
De prijs van dit product is 21 euro en 99 cent. De meest getoonde prijs is 23 euro en 57 cent. Je bespaart 7%.- E-book is direct beschikbaar na aankoop
- E-books lezen is voordelig
- Dag en nacht klantenservice
- Veilig betalen
Anderen bekeken ook
Rapporteer dit artikel
Je wilt melding doen van illegale inhoud over dit artikel:
- Ik wil melding doen als klant
- Ik wil melding doen als autoriteit of trusted flagger
- Ik wil melding doen als partner
- Ik wil melding doen als merkhouder
Geen klant, autoriteit, trusted flagger, merkhouder of partner? Gebruik dan onderstaande link om melding te doen.