"Mastering DynamoDB" will guide you through the advanced usage and operational subtleties of DynamoDB, Amazon's fully managed NoSQL database solution. By mastering the topics in this book, readers will unlock the tools to efficiently build scalable and high-performance applications using DynamoDB, leveraging its unique architecture and features. What this Book will help me do Gain a deep understanding of DynamoDB's data model and how it supports scalable performance. Master advanced DynamoDB architecture concepts for reliability and data handling. Learn to integrate DynamoDB securely with other AWS services to build a comprehensive ecosystem. Use tools and libraries to automate processes like autoscaling, testing, and data backups for DynamoDB. Develop mobile and web applications using DynamoDB as a backend, ensuring high availability and speedy operations. Author(s) None Deshpande, the author of "Mastering DynamoDB", is an experienced cloud computing and database professional. With a strong background in AWS technologies and particular expertise in DynamoDB, None brings hands-on knowledge to the forefront. The author is dedicated to making complex concepts accessible and practical for learners, aiding in their professional growth. Who is it for? This book is ideal for developers and IT professionals who want to deepen their expertise in cloud-based NoSQL databases. Readers should ideally have intermediate experience with programming, AWS services, and an interest in enhancing their skills around scalable database systems. Those seeking practical insights for advanced database integration and application development will benefit the most. If you aim to build robust, high-performance applications, "Mastering DynamoDB" is for you.

Learn to use Excel dashboards and reports to better conceptualize data Updated for all the latest features and capabilities of Excel 2013, this go-to resource provides you with in-depth coverage of the individual functions and tools that can be used to create compelling Excel reports. Veteran author Michael Alexander walks you through the most effective ways to present and report data. Featuring a comprehensive review of a wide array of technical and analytical concepts, this essential guide helps you go from reporting data with simple tables full of dull numbers to presenting key information through the use of high-impact, meaningful reports and dashboards that will wow management both visually and substantively. Details how to analyze large amounts of data and report the results in a way that is both visually attractive and effective Describes how to use different perspectives to achieve better visibility into data, as well as how to slice data into various views on the fly Shows how to automate redundant reporting and analysis processes Walks you through creating impressive dashboards, eye-catching visualizations, and real-world What-If analyses Excel Dashboards and Reports, Second Edition is part technical manual, part analytical guidebook, and exactly what you need to become your organization's dashboard dynamo!

Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology. Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once. Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs. What You Need: To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.