Hbase Essentials provides a hands-on introduction to HBase, a distributed database built on top of the Hadoop ecosystem. Through practical examples and clear explanations, you will learn how to set up, use, and administer HBase to manage high-volume, high-velocity data efficiently. What this Book will help me do Understand the importance and use cases of HBase for managing Big Data. Successfully set up and configure an HBase cluster in your environment. Develop data models in HBase and perform CRUD operations effectively. Learn advanced HBase features like counters, coprocessors, and integration with MapReduce. Master cluster management and performance tuning for optimal HBase operations. Author(s) None Garg is a seasoned Big Data engineer with extensive experience in distributed databases and the Hadoop ecosystem. Having worked on complex data systems, None brings practical insights to understanding and implementing HBase. Known for a clear and approachable writing style, None aims to make learning technical subjects accessible. Who is it for? Hbase Essentials is ideal for developers and Big Data engineers keen to build expertise in distributed databases. If you have a basic understanding of HDFS or MapReduce or have experience with NoSQL databases, this book will accelerate your knowledge of HBase. It's tailored for those seeking to leverage HBase for scalable and reliable data solutions. Whether you're starting with HBase or expanding your Big Data skillset, this guide provides the tools to succeed.

In "DynamoDB Applied Design Patterns", you'll dive deep into the effective design patterns that optimize the performance of applications using DynamoDB. Through practical examples and best practices, this guide empowers developers to create scalable, efficient, and robust DynamoDB implementations. What this Book will help me do Master how to design effective data models using DynamoDB's native features such as tables, attributes, and indexes. Learn to utilize DynamoDB features like global and local secondary indexes to optimize performance. Gain in-depth knowledge on managing and querying DynamoDB using AWS services and tools. Integrate DynamoDB seamlessly with AWS services such as Redshift, S3, and MapReduce. Leverage advanced DynamoDB API features to retrieve data efficiently for diverse application use cases. Author(s) Uchit Hamendra Vyas is a highly skilled professional specializing in AWS and cloud computing. With years of experience as a developer and architect, he brings practical insights into designing efficient database solutions. His approachable teaching style makes complex topics clear and accessible. Who is it for? This book is designed for developers working with or interested in using DynamoDB in their projects. It assumes a moderate familiarity with database design and AWS concepts. Readers aiming to enhance their DynamoDB skills and optimize performance will greatly benefit. If you're looking to take your NoSQL database knowledge to the next level, this book is for you.

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance

The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want. Pro Couchbase Server is a hands-on guide for developers and administrators who want to take advantage of the power and scalability of Couchbase Server in their applications. This book takes you from the basics of NoSQL database design, through application development, to Couchbase Server administration. Never have document databases been so powerful and performant. Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers. Helps you design and develop a document database using Couchbase Server. Takes you through deploying and maintaining Couchbase Server. Gives you the tools to scale out your application as needed.

"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.

Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications “Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ‘Big Data’ systems are, and fundamental issues to consider when optimizing for performance and scalability. Cory draws on many years of experience to explain issues involved in working with data sets that can no longer be handled with single, monolithic relational databases.... His approach is particularly relevant now that relational data models are making a comeback via SQL interfaces to popular NoSQL databases and Hadoop distributions.... This book should be especially useful to database practitioners new to scaling databases beyond traditional single node deployments.” —Brian O’Krafka, software architect presents a solid foundation for scaling Big Data infrastructure and helps you address each crucial factor associated with optimizing performance in scalable and dynamic Big Data clusters. Understanding Big Data Scalability Database expert Cory Isaacson offers practical, actionable insights for every technical professional who must scale a database tier for high-volume applications. Focusing on today’s most common Big Data applications, he introduces proven ways to manage unprecedented data growth from widely diverse sources and to deliver real-time processing at levels that were inconceivable until recently. Isaacson explains why databases slow down, reviews each major technique for scaling database applications, and identifies the key rules of database scalability that every architect should follow. You’ll find insights and techniques proven with all types of database engines and environments, including SQL, NoSQL, and Hadoop. Two start-to-finish case studies walk you through planning and implementation, offering specific lessons for formulating your own scalability strategy. Coverage includes Understanding the true causes of database performance degradation in today’s Big Data environments Scaling smoothly to petabyte-class databases and beyond Defining database clusters for maximum scalability and performance Integrating NoSQL or columnar databases that aren’t “drop-in” replacements for RDBMSes Scaling application components: solutions and options for each tier Recognizing when to scale your data tier—a decision with enormous consequences for your application environment Why data relationships may be even more important in non-relational databases Why virtually every database scalability implementation still relies on sharding, and how to choose the best approach How to set clear objectives for architecting high-performance Big Data implementations The Big Data Scalability Series is a comprehensive, four-part series, containing information on many facets of database performance and scalability. is the first book in the series. Understanding Big Data Scalability Learn more and join the conversation about Big Data scalability at bigdatascalability.com.

Build and Deploy Massively Scalable, Super-fast Data Management Applications with Apache Cassandra is the first hands-on developer’s guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance. Fully up to date, it reflects the latest versions of Cassandra–including Cassandra Query Language (CQL), which dramatically lowers the learning curve for Cassandra developers. Practical Cassandra Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data. Drawing on their exceptional expertise, Bradberry and Lubow share practical insights into issues ranging from querying to deployment, management, maintenance, monitoring, and troubleshooting. The authors cover key issues, from architecture to migration, and guide you through crucial decisions about configuration and data modeling. They provide tested sample code, detailed explanations of how Cassandra works ”under the covers,” and new case studies from three cutting-edge users: Ooyala, Hailo, and eBay. Coverage includes Understanding Cassandra’s approach, architecture, key concepts, and primary use cases– and why it’s so blazingly fast Getting Cassandra up and running on single nodes and large clusters Applying the new design patterns, philosophies, and features that make Cassandra such a powerful data store Leveraging CQL to simplify your transition from SQL-based RDBMSes Deploying and provisioning through the cloud or on bare-metal hardware Choosing the right configuration options for each type of workload Tweaking Cassandra to get maximum performance from your hardware, OS, and JVM Mastering Cassandra’s essential tools for maintenance and monitoring Efficiently solving the most common problems with Cassandra deployment, operation, and application development

Master Oracle NoSQL Database Enable highly reliable, scalable, and available data. Oracle NoSQL Database: Real-Time Big Data Management for the Enterprise shows you how to take full advantage of this cost-effective solution for storing, retrieving, and updating high-volume, unstructured data. The book covers installation, configuration, application development, capacity planning and sizing, and integration with other enterprise data center products. Real-world examples illustrate the concepts presented in this Oracle Press guide. Understand Oracle NoSQL Database architecture and the underlying data storage engine, Oracle Berkeley DB Install and configure Oracle NoSQL Database for optimal performance Develop complex, distributed applications using a rich set of APIs Read and write data into the Oracle NoSQL Database key-value store Apply an Avro schema to the value portion of the key-value pair using Avro bindings Learn best practices for capacity planning and sizing an enterpriselevel Oracle NoSQL Database deployment Integrate Oracle NoSQL Database with Oracle Database, Oracle Event Processing, and Hadoop Code examples from the book are available for download at www.OraclePressBooks.com.

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoDB authors Peter Membrey and Eelco Plugge, provide their expertise and experience in teaching you everything you need to know to become a MongoDB pro. The Definitive Guide to MongoDB, Second Edition, starts with the basics, including how to install on Windows, Linux, and OS X, and how MongoDB handles your data. Then you'll learn how to develop with MongoDB with both PHP and Python, including an example application using a PHP driver to create a blog application. Finally, you'll dig into more advanced but extremely important MongoDB features, including optimization, replication, and sharding -- load-balancing that makes MongoDB ideal for dealing with Big Data. If you're dealing with data, MongoDB should be on your must-learn list. The Definitive Guide to MongoDB, Second Edition, is just the book you need. What you'll learn Set up MongoDB on all major server platforms, including Windows, Linux, OS X, and cloud platforms like Rackspace, Azure, and Amazon EC2 Work with GridFS and the new aggregation framework Work with your data using non-SQL commands Write applications using either PHP or Python Optimize MongoDB Master MongoDB administration, including replication, replication tagging, and tag-aware sharding Who this book is for Database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.

Joe Celko's Complete Guide to NoSQL provides a complete overview of non-relational technologies so that you can become more nimble to meet the needs of your organization. As data continues to explode and grow more complex, SQL is becoming less useful for querying data and extracting meaning. In this new world of bigger and faster data, you will need to leverage non-relational technologies to get the most out of the information you have. Learn where, when, and why the benefits of NoSQL outweigh those of SQL with Joe Celko's Complete Guide to NoSQL. This book covers three areas that make today's new data different from the data of the past: velocity, volume and variety. When information is changing faster than you can collect and query it, it simply cannot be treated the same as static data. Celko will help you understand velocity, to equip you with the tools to drink from a fire hose. Old storage and access models do not work for big data. Celko will help you understand volume, as well as different ways to store and access data such as petabytes and exabytes. Not all data can fit into a relational model, including genetic data, semantic data, and data generated by social networks. Celko will help you understand variety, as well as the alternative storage, query, and management frameworks needed by certain kinds of data. Gain a complete understanding of the situations in which SQL has more drawbacks than benefits so that you can better determine when to utilize NoSQL technologies for maximum benefit Recognize the pros and cons of columnar, streaming, and graph databases Make the transition to NoSQL with the expert guidance of best-selling SQL expert Joe Celko

Making Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now. About the Technology About the Book If you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you. Written in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL. Making Sense of NoSQL starts by comparing familiar database concepts to the new NoSQL patterns that augment or replace them. Then, you'll explore case studies on big data, search, reliability, and business agility that apply these new patterns to today's business problems. You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chapters show you how to choose the right NoSQL technologies for your own needs. What's Inside NoSQL data architecture patterns NoSQL for big data Search, high availability, and security Choosing an architecture About the Reader Managers and developers will welcome this lucid overview of the potential and capabilities of NoSQL technologies. About the Authors Dan McCreary and Ann Kelly lead an independent training and consultancy firm focused on NoSQL solutions and are cofounders of the NoSQL Now! Conference. Quotes Easily digestible, practical advice for technical managers, architects, and developers. - From the Foreword by Tony Shaw, CEO of DATAVERSITY Cuts through the jargon and gives you the information you need to know. - Craig Smith, Unbound DNA A concise yet thorough description of the many facets of NoSQL, from big data to search. - John Guthrie, Pivotal Brings common sense to the world of NoSQL. - Ignacio Lopez Vellon, Atos Worldgrid Get ahead of your peers ... fast-track to NoSQL now! - Ian Stirk, Stirk Consultancy, Ltd

This book is your hands-on guide to mastering Mongoose for application development on the Node.js stack. By working through practical examples, you'll learn how to define data schemas, efficiently interact with your database, and build a real-life project management application using this powerful tool. What this Book will help me do Master connecting Node.js applications to MongoDB using Mongoose. Define and leverage data schemas and models for robust data management. Perform CRUD operations seamlessly using Mongoose's accessible APIs. Integrate advanced concepts like schema validators, population, and sub-documents. Learn to enhance productivity by developing and utilizing reusable plugins. Author(s) Simon Holmes, an experienced web developer, specializes in JavaScript, Node.js, and database technologies. Known for his clear and effective teaching style, Simon has authored several books and tutorials to help developers be more proficient and productive. His insights on Mongoose bridge the gap between practical application and theoretical knowledge. Who is it for? This book is perfect for developers interested in Node.js who want to incorporate MongoDB into their applications and need a structured yet hands-on approach. It's suitable for learners new to Mongoose as well as experienced developers seeking to optimize their database interactions. Key audiences include backend developers, full-stack developers, and software engineers aiming to enhance their database schemas and queries.

Hibernate and MongoDB are a powerful combination of open source persistence and NoSQL technologies for today's Java-based enterprise and cloud application developers. Hibernate is the leading open source Java-based persistence, object relational management engine, recently repositioned as an object grid management engine. MongoDB is a growing, popular open source NoSQL framework, especially popular among cloud application and big data developers. With these two, enterprise and cloud developers have a "complete out of the box" solution. Pro Hibernate and MongoDB shows you how to use and integrate Hibernate and MongoDB. More specifically, this book guides you through the bootstrap; building transactions; handling queries and query entities; and mappings. Then, this book explores the principles and techniques for taking these application principles to the cloud, using the OpenShift Platform as a Service (PaaS) and more. In this book, you get two case studies: An enterprise application using Hibernate and MongoDB. then, A cloud application (OpenShip) migrated from the enterprise application case study After reading or using this book, you come away with the experience from two case studies that give you possible frameworks or templates that you can apply to your own specific application or cloud application building context. What you'll learn How to use and integrate Hibernate and MongoDB to be your "complete out of the box" solution for database driven enterprise and cloud applications How to bootstrap; run in supported environments; do transactions; handle queries and query entities; and mappings How to build an enterprise application case study using Hibernate and MongoDB What are the principles and techniques for taking applications to the Cloud, using the OpenShift Platform as a Service (PaaS) and more How to build a cloud-based app or application (OpenShip) Who this book is for This book is for experienced Java, enterprise Java programmers who may have some experience with Hibernate and/or MongoDB.

Redis in Action introduces Redis and walks you through examples that demonstrate how to use it effectively. You'll begin by getting Redis set up properly and then exploring the key-value model. Then, you'll dive into real use cases including simple caching, distributed ad targeting, and more. You'll learn how to scale Redis from small jobs to massive datasets. Experienced developers will appreciate chapters on clustering and internal scripting to make Redis easier to use. About the Technology When you need near-real-time access to a fast-moving data stream, key-value stores like Redis are the way to go. Redis expands on the key-value pattern by accepting a wide variety of data types, including hashes, strings, lists, and other structures. It provides lightning-fast operations on in-memory datasets, and also makes it easy to persist to disk on the fly. Plus, it's free and open source. About the Book What's Inside Redis from the ground up Preprocessing real-time data Managing in-memory datasets Pub/sub and configuration Persisting to disk About the Reader Written for developers familiar with database concepts. No prior exposure to Redis or other NoSQL databases required. Appropriate for systems administrators comfortable with programming. About the Author Dr. Josiah L. Carlson is a seasoned database professional and an active contributor to the Redis community. Quotes A great addition to the Redis ecosystem. - From the Foreword by Salvatore Sanfilippo, Creator of Redis The examples, taken from real-world use cases, are one of the major strengths of the book. - Filippo Pacini, SG Consulting From beginner to expert with real and comprehensive examples. - Felipe Gutierrez, VMware/Spring Source Excellent in-depth analysis ... insightful real-world examples. - Bobby Abraham, Integri LLC Pure gold! - Leo Cassarani, Unboxed Consulting

Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction—written by a core contributor to the project—shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability. This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples. Get started with MongoDB core concepts and vocabulary Perform basic write operations at different levels of safety and speed Create complex queries, with options for limiting, skipping, and sorting results Design an application that works well with MongoDB Aggregate data, including counting, finding distinct values, grouping documents, and using MapReduce Gather and interpret statistics about your collections and databases Set up replica sets and automatic failover in MongoDB Use sharding to scale horizontally, and learn how it impacts applications Delve into monitoring, security and authentication, backup/restore, and other administrative tasks

Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process. Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemas, and other MongoDB patterns for tackling specific big data use cases, including: Operational intelligence: Perform real-time analytics of business data Ecommerce: Use MongoDB as a product catalog master or inventory management system Content management: Learn methods for storing content nodes, binary assets, and discussions Online advertising networks: Apply techniques for frequency capping ad impressions, and keyword targeting and bidding Social networking: Learn how to store a complex social graph, modeled after Google+ Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game

Today’s highly interactive websites pose a challenge for traditional SQL databases—the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you’ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information. Using food recipe information as examples, this book demonstrates how to take advantage of Couchbase’s document-oriented database design, and how to store and query data with various CRUD operations. Discover why Couchbase is better than SQL databases with memcached tiers for managing data from the most interactive portions of your application. Learn about Couchbase Server’s cluster-based architecture and how it differs from SQL databases Choose a client library for Java, .NET, Ruby, Python, PHP, or C, and connect to a cluster Structure data in a variety of formats, from serialized objects, a stream of raw bytes, or as JSON documents Learn core storage and retrieval methods, including document IDs, expiry times, and concurrent updates Create views with map/reduce and learn Couchbase mechanisms for querying and selection

Cloud services are just as susceptible to network outages as any other platform. This concise book shows you how to prepare for potentially devastating interruptions by building your own resilient and reliable applications in the public cloud. Guided by engineers from 9apps—an independent provider of Amazon Web Services and Eucalyptus cloud solutions—you’ll learn how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis. This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures. Build cloud applications with the "rip, mix, and burn" approach Get a crash course on Amazon Web Services Learn the top ten tips for surviving outages in the cloud Use elasticsearch to build a dependable NoSQL data store Combine AWS and PostgreSQL to build an RDBMS that scales well Create a highly available document database with MongoDB Replica Set and SimpleDB Augment Redis with AWS to provide backup/restore, failover, and monitoring capabilities Work with CloudFront and Route 53 to safeguard global content delivery

Build an application from backend to browser with Node.js, and kick open the doors to real-time event programming. With this hands-on book, you’ll learn how to create a social network application similar to LinkedIn and Facebook, but with a real-time twist. And you’ll build it with just one programming language: JavaScript. If you’re an experienced web developer unfamiliar with JavaScript, the book’s first section introduces you to the project’s core technologies: Node.js, Backbone.js, and the MongoDB data store. You’ll then launch into the project—a highly responsive, highly scalable application—guided by clear explanations and lots of code examples. Learn about key modules in Node.js for building real-time apps Use the Backbone.js framework to write clean browser code, and maintain better data integration with MongoDB Structure project files as a foundation for code that will arrive later Create user accounts and learn how to secure the data Use Backbone.js templates to build the application’s UIs, and integrate access control with Node.js Develop a contact list to help users link to and track other accounts Use Socket.io to create real-time chat functionality Extend your UIs to give users up-to-the-minute information

HBase in Action has all the knowledge you need to design, build, and run applications using HBase. First, it introduces you to the fundamentals of distributed systems and large scale data handling. Then, you'll explore real-world applications and code samples with just enough theory to understand the practical techniques. You'll see how to build applications with HBase and take advantage of the MapReduce processing framework. And along the way you'll learn patterns and best practices. About the Technology HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns. About the Book HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You'll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action. What's Inside When and how to use HBase Practical examples Design patterns for scalable data systems Deployment, integration, and design About the Reader Written for developers and architects familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required. About the Authors Nick Dimiduk is a Data Architect with experience in social media analytics, digital marketing, and GIS. Amandeep Khurana is a Solutions Architect focused on building HBase-driven solutions. Quotes Timely, practical ... explains in plain language how to use HBase. - From the Foreword by Michael Stack, Chair of the Apache HBase Project Management Committee A difficult topic lucidly explained. - John Griffin, coauthor of "Hibernate Search in Action" Amusing tongue-in-cheek style that doesn’t detract from the substance. - Charles Pyle, APS Healthcare Learn how to think the HBase way. - Gianluca Righetto, Menttis