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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...

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
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...

The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future
The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future

The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future presents an investigation into the rationale for ERP by raising key questions that managers should ask themselves prior to considering ERP, including processes that should be followed in planning when acquiring ERP.

It concentrates on the impact...

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...

Designing a Data Warehouse : Supporting Customer Relationship Management
Designing a Data Warehouse : Supporting Customer Relationship Management

The main subject of this book is data warehousing. A data warehouse is a special kind of database that, in recent years, has attracted a great deal of interest in the information technology industry. Quite a few books have been published about data warehousing generally, but very few have focused on the design of data...

The Microsoft Data Warehouse Toolkit: With SQL Server 2005 and the Microsoft Business Intelligence Toolset
The Microsoft Data Warehouse Toolkit: With SQL Server 2005 and the Microsoft Business Intelligence Toolset

As longtime data warehousing practitioners and former Microsoft insiders, authors Joy Mundy and Warren Thornthwaite have extensive experience in building and managing data warehouse (DW) and business intelligence (BI) systems. With this book, they share best practices for using SQL Server 2005 to build a successful DW/BI system. Covering the...

Common Warehouse Metamodel Developer's Guide
Common Warehouse Metamodel Developer's Guide
The official guide on how to develop interoperable data warehouse and business intelligence applications from the authors of the CWM specification

This authoritative guide will show you how to develop interoperable data warehouse and business intelligence applications using the Common Warehouse Metamodel (CWM) specification. It provides you...

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