Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as...

• Adopt microservices-based architecture and deploy it at scale
• Build your complete microservice architecture using different recipes for different solutions
• Identify specific tools for specific scenarios and deliver immediate business results, correlate use cases, and adopt them...

• Write complex processing job codes easily with the help of clear and step by...

With Microsoft SQL Server 2008 Reporting Services you can quickly deliver relevant business intelligence data wherever it’s needed–across the entire enterprise, and through the entire reporting lifecycle. SQL...

Anyone who interacts with today's modern databases needs to know SQL (Structured Query Language), the standard language for generating, manipulating, and retrieving database information. In recent years, the dramatic rise in the popularity of relational databases and multi-user databases has fueled a healthy demand for...

• Delivers practical, hands-on guidance on...

Business of all sizes have a problem: How do you know—in real time—whether you are earning the profit you need to grow or even just stay in business? And which products or services are doing the “heavy lifting” in contributing to profit? Financial statements tell only part of the story. They are backward looking, for...

• Solutions to common problems when working in the Hadoop...

The book addresses the problem known in the literature as Open and Distance Learning (ODL). ODL describes new concepts of the process of learning-teaching organization. ODL is becoming very popular at universities that offer education via online and/or distance learning, both in synchronous or asynchronous modes. More precisely, the...

This...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....