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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 Yoüll 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
Who This Book Is For
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 Yoüll 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
Who This Book Is For
Butch has more than 20 years of experience in various technical and leadership roles in several industries including banking and finance, telecommunications, government, utilities, transportation, e-commerce, retail, technology, manufacturing, and bioinformatics. Butch is a recognized thought leader and a frequent speaker at conferences and events. He is a contributor to the Apache Spark and Apache Kudu open source projects, founder of the Cloudera Melbourne User Group, and Deloitte's Director of Alliance for Cloudera.
First book covering Apache Kudu-a game-changer relational data store from Cloudera that will disrupt the traditional data warehouse market
Features big data use cases and case studies from some of the most successful deployments-GoPro, Mastercard, British Telecom, Navistar, oPower, Cerner, Shopzilla and Caesars Entertainment
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.-
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Datenkommunikation, Netze & Mailboxen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxiii
557 S. 326 s/w Illustr. 557 p. 326 illus. |
ISBN-13: | 9781484231463 |
ISBN-10: | 1484231465 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Quinto, Butch |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 31 mm |
Von/Mit: | Butch Quinto |
Erscheinungsdatum: | 13.06.2018 |
Gewicht: | 1,083 kg |
Butch has more than 20 years of experience in various technical and leadership roles in several industries including banking and finance, telecommunications, government, utilities, transportation, e-commerce, retail, technology, manufacturing, and bioinformatics. Butch is a recognized thought leader and a frequent speaker at conferences and events. He is a contributor to the Apache Spark and Apache Kudu open source projects, founder of the Cloudera Melbourne User Group, and Deloitte's Director of Alliance for Cloudera.
First book covering Apache Kudu-a game-changer relational data store from Cloudera that will disrupt the traditional data warehouse market
Features big data use cases and case studies from some of the most successful deployments-GoPro, Mastercard, British Telecom, Navistar, oPower, Cerner, Shopzilla and Caesars Entertainment
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.-
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Datenkommunikation, Netze & Mailboxen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxiii
557 S. 326 s/w Illustr. 557 p. 326 illus. |
ISBN-13: | 9781484231463 |
ISBN-10: | 1484231465 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Quinto, Butch |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 31 mm |
Von/Mit: | Butch Quinto |
Erscheinungsdatum: | 13.06.2018 |
Gewicht: | 1,083 kg |