Hadoop

Hadoop

Hadoop

Gerald Turkington / Sandeep Karanth / Tanmay Deshpande

141,82 €
IVA incluido
Disponible
Editorial:
Packt Publishing
Año de edición:
2017
Materia
Diseño y teoría de bases de datos
ISBN:
9781787125162
141,82 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data setsKey Features:- Conquer the mountain of data using Hadoop 2.X tools- The authors succeed in creating a context for Hadoop and its ecosystem- Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms- Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.XBook Description:As Marc Andreessen has said 'Data is eating the world,' which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions.The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called 'What just happened' for more clarity and understanding.The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark.Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop.So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable.When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes.What You Will Learn:- Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand- Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer- Installing and maintaining Hadoop 2.X cluster and its ecosystem- Advanced Data Analysis using the Hive, Pig, and Map Reduce programs- Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark- Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0- Dive into YARN and Storm and use YARN to integrate Storm with Hadoop- Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS FederationWho this book is for:This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X.

Artículos relacionados

  • Exploring Advances in Interdisciplinary Data Mining and Analytics
    Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends is an updated look at the state of technology in the field of data mining and analytics. As processor speeds, databas...
  • Knowledge Discovery Practices and Emerging Applications of Data Mining
    Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers as...
  • Research and Trends in Data Mining Technologies and Applications
    David Taniar
    ...
  • Developing Metadata Application Profiles
    The prevalence of data science has grown exponentially in recent years. Increases in data exchange have created the need for standards and formats on handling data from different sources. Developing Metadata Application Profiles is an innovative reference source that discusses the latest trends and techniques for effectively managing and exchanging metadata. Including a range o...
  • Modern Technologies for Big Data Classification and Clustering
    Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provi...
  • 90 Gelöste Fälle zu Zeitintelligenz in der DAX-Sprache
    Ramón Javier Castro Amador
    Dieser Ratgeber ist rein praktisch ausgerichtet, so dass Sie den gesamten DAX-Code in dieser Publikation anhand einer zum Download verfügbaren .pbix-Datei testen können.'90 gelöste Fälle zu Zeitintelligenz in DAX' ist ein Ratgeber für Benutzer von Microsoft Power BI, der Lösungen für sehr häufige praktische Fälle in Zeitintelligenzmodellen in der Sprache DAX bietet.Um das Verst...
    Disponible

    16,15 €