عنوان

Next-generation big data :

شابک

1484231465

شابک

1484231473

شابک

9781484231463

شابک

9781484231470

شابک اشتباه

1484231465

شابک اشتباه

9781484231463

عنوان اصلي

Next-generation big data :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a practical guide to Apache Kudu, Impala, and Spark /

نام نخستين پديدآور

Butch Quinto.

محل نشرو پخش و غیره

Berkeley, CA :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource (xxiii, 557 pages) :

ساير جزييات

illustrations

متن يادداشت

Chapter 1: Next-Generation Big Data -- Chapter 2: Introduction to Kudu -- Chapter 3: Introduction to Impala -- Chapter 4: High Performance Data Analysis with Impala and Kudu -- Chapter 5: Introduction to Spark -- Chapter 6: High-Performance Data Processing with Spark and Kudu -- Chapter 7: Batch and Real-Time Data Ingestion and Processing -- Chapter 8: Big Data Warehousing -- Chapter 9: Big Data Visualization and Data Wrangling -- Chapter 10: Distributed In-Memory Big Data Computing -- Chapter 11: Big Data Governance and Management -- Chapter 12: Big Data in the Cloud -- Chapter 13: Big Data Case Studies

بدون عنوان

0

متن يادداشت

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You'll Learn: Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard.

منبع سفارش / آدرس اشتراک

00152887

شماره انبار

9781484231463

شماره استاندارد بين المللي کتاب و موسيقي

9781484231463

موضوع مستند نشده

Spark (Electronic resource : Apache Software Foundation)

موضوع مستند نشده

Spark (Electronic resource : Apache Software Foundation)

موضوع مستند نشده

Big data.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Big data.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

COMPUTERS-- Data Processing.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

COM-- 018000

موضوع مستند نشده

UN

موضوع مستند نشده

UN

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Quinto, Butch

تاريخ عمليات

20200823032001.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y