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Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

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...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX (Wrox Programmer to Programmer)
Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX (Wrox Programmer to Programmer)

Understand Microsoft's dramatically updated new release of its premier toolset for business intelligence

The first major update to Microsoft's state-of-the-art, complex toolset for business intelligence (BI) in years is now available and what better way to master it than with this detailed book from key members of...

The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin

The Extract-Transform-Load (ETL) system is the foundation of the data warehouse. A properly designed ETL system extracts data from the source systems, enforces data quality and consistency standards, conforms data so that separate sources can be used together, and finally delivers data in a presentation-ready format so that...

Joe Celko's Analytics and OLAP in SQL (The Morgan Kaufmann Series in Data Management Systems)
Joe Celko's Analytics and OLAP in SQL (The Morgan Kaufmann Series in Data Management Systems)
The First book that teaches what SQL programmers need in order to successfully make the transition from transactional systems (OLTP) into the world of OLAP.

Before SQL programmers could begin working with OLTP (On-Line Transaction Processing) systems, they had to unlearn procedural, record-oriented programming before moving
...
Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance
Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance
The first book to offer in-depth coverage of star schema aggregate tables

 

Dubbed by Ralph Kimball as the most effective technique for maximizing star schema performance, dimensional aggregates are a powerful and efficient tool that can accelerate data warehouse queries more dramatically than any other technology. After you ensure...

SQL Server Integration Services Design Patterns
SQL Server Integration Services Design Patterns

SQL Server Integration Services Design Patterns is newly-revised for SQL Server 2014, and is a book of recipes for SQL Server Integration Services (SSIS). Design patterns in the book help to solve common problems encountered when developing data integration solutions. The patterns and solution examples in the book increase your...

Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)
Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)

Web 2.0 has changed the way we conduct business, interact with customers, share information with friends and family, measure success in terms of business revenue and customer wallet share, and define brand management, and, most importantly, it has created a revenue channel like none other. Whether you plan your vacation, buy the newest...

New Trends in Data Warehousing and Data Analysis (Annals of Information Systems)
New Trends in Data Warehousing and Data Analysis (Annals of Information Systems)
Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple...
Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration
Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration
"The time has come for the consumers themselves to step forward and to specify a standard for meta data semantics and meta data exchange. This book is an important first step in that direction."
–W. H. Inmon, from the Foreword

The Common Warehouse Metamodel (CWM) is rapidly gaining momentum within the data warehousing...

Beginning Database Design (Wrox Beginning Guides)
Beginning Database Design (Wrox Beginning Guides)
Database design involves how to best structure the tables and queries that are used with databases in order to provide optimum performance, storage, manageability, and flexibility. With relational databases, you can use those tables to organize your data and retrieve information from your database. This book provides you with an easy-to-understand...
Microsoft SQL Server 2012 with Hadoop
Microsoft SQL Server 2012 with Hadoop

With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed...

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