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Datavail Corporation is the largest provider of remote database administration (DBA) services in North America, offering 24×7 managed database services, development DBA services, and business intelligence solutions. The company specializes in Oracle, Oracle E-Business Suite, Microsoft SQL Server, MySQL, MongoDB, DB2 and SharePoint, and provides flexible onsite/offsite, onshore/offshore service delivery options to meet each customer’s unique business needs. Datavail’s Development, Tuning & Automation practice helps enterprises build a DevOps team that is inclusive across all tiers and supports a proactive approach. Founded in 2007, Datavail is based in Broomfield, Colorado and supports enterprise clients located worldwide. For more information, visit www.datavail.com.

With more than 3,000 customers worldwide, Percona is the only company that delivers enterprise-class solutions for both MySQL® and MongoDB® across traditional and cloud-based platforms. The company provides SoftwareSupportConsulting, and Managed Services to some of the largest and most well-known brands on the Internet such as Cisco Systems, Time Warner Cable, Alcatel-Lucent, Groupon, and the BBC, as well as to many smaller companies looking to maximize application performance while streamlining database efficiencies. Well established as thought leaders, Percona experts author content for the Percona Database Performance Blog. The popular Percona Live conferences draw attendees and acclaimed speakers from around the world. For more information, visit www.percona.com.

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Who Is Using SlamData?

Whitepaper: The Characteristics of NoSQL Analytics Systems

by John De Goes, CTO and Co-Founder of SlamData

Overview

Semi­structured data, called NoSQL data in this paper, is growing at an unprecedented rate.  This growth is fueled, in part, by the proliferation of web and mobile applications, APIs, event­-oriented data, sensor data, machine learning, and the Internet of Things, all of which are disproportionately powered by NoSQL technologies and data models.

This paper carves out a single concern, by focusing on the system­-level capabilities required to derive maximum analytic value from a generalized model of NoSQL data. This approach leads to eight well­-defined, objective characteristics, which collectively form a precise capabilities­-based definition of a NoSQL analytics system.

These capabilities are inextricably motivated by use cases, but other considerations are explicitly ignored. They are ignored not because they are unimportant (quite the contrary), but because they are orthogonal to the raw capabilities a system must possess to be capable of deriving analytic value from NoSQL data.

Table of Contents

  • Overview
  • The Nature of NoSQL Data
    • APIs
    • NoSQL Databases
    • Big Data
    • A Generic Data Model for NoSQL
  • Approaches to NoSQL Analytics
    • Coding & ETL
    • Hadoop
    • Real-Time Analytics
    • Relational Model Virtualization
    • First-Class NoSQL Analytics
  • Characteristics of NoSQL Analytics Systems
    • Generic Data Model
    • Isomorphic Data Model
    • Multi-Dimensionality
    • Unified Schema/Data
    • Post-Relational
    • Polymorphic Queries
    • Dynamic Type Discovery & Conversion
    • Structural Patterns