Davide Mauri

Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a… Show more

Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users. Show less

In the game of golf, many factors impact the ability to consistently drive or putt a golf ball to its exact intended destination. One of these factors is the pressure (or force) with which the golfer grips the golf club. There are multiple theories on what the right pressure on grip should be, but they are all subjective and hard to quantify. Until now.

This book deals with master data. It explains how we can recognize our master data. It stresses the importance of a good data model for data integrity. It shows how we can find areas of bad or suspicious data. It shows how we can proactively enforce better data quality and make an authoritative master data source through a specialized Master Data Management application. It also shows how we can tackle the problems with duplicate master data and the problems with identity mapping from different… Show more

This book deals with master data. It explains how we can recognize our master data. It stresses the importance of a good data model for data integrity. It shows how we can find areas of bad or suspicious data. It shows how we can proactively enforce better data quality and make an authoritative master data source through a specialized Master Data Management application. It also shows how we can tackle the problems with duplicate master data and the problems with identity mapping from different databases in order to create a unique representation of the master data. Show less

Add engineering to architecture and bring automation to your BI development team.

Sure, RDBMSs could be improved. But do NoSQL supporters really want to drop the relational model?​

The slides describes a new technique used to store daily snapshot of data, without really taking daily snapshot but using Temporal Data theory in order to store intervals of data instead point-in-time information. This allows a dramatic reduction of stored rows, enabling the creation of big data solution reducing the hardware costs.