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Enterprise Data Architecture Archives - VoltDB
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Enterprise Data Architecture

VoltDB / Enterprise Data Architecture

Enterprise Data Architecture

Enterprise data architecture (EDA) refers to a collection of master blueprints designed to align IT programs and information assets with business strategy. EDA is used to guide integration, quality enhancement and successful data delivery. Enterprise data architecture is part of the overall enterprise architecture, which has several integrated aspects, including hardware, applications, business processes, technology choices, networks and data. The EDA model is comprised of different layers that provide a strong foundation for strategic endeavors, such as:
  • A data strategy that outlines the objectives of business for the improvement of data collection and data use Improvements in the business process
  • Decisions on the potential future of new and modified solutions
  • Data warehousing, integration and reporting initiatives
 

Database Blog Trends, First Half 2018 Looking back over the first half of the year, we notice three trends in reader interest with our blog posts. They are: Defining the real-time database market How to compare database technologies, and How cloud database migration. In this post,...

As we enter the 5G era, strategic telcos are digitizing their infrastructures to not only handle the explosion of data requirements, but to also take advantage of the new business opportunities and revenue streams that will come about with the advent of 5G. Recently we held...

The world is speeding up; people expect customized information and services immediately. In these tumultuous times, some companies are clinging to their legacy data infrastructure as a security blanket. However, traditional RDBMSes are just not able to provide the massive scales, edge distribution, and virtual...

It’s just about official—blockchain has taken over the world. Or, to be more accurate, the idea of blockchain has taken over the world. In recent months, we’ve seen Long Island Iced Tea Corp. become Long Blockchain Corp. and Kodak revive itself with blockchain aspirations. These unexpected moves...

Previously, I critiqued the Forrester Wave Translytical Data Platforms Q4 2017 report. At the end, I promised to provide a list of criteria to evaluate translytical databases. In order to create that list, we need to start with a solid definition of Translytics. The Forrester...

Getting up to date answers about recent events and asking the same question about older data is really hard to do using open source. The Lambda Architecture is a somewhat complicated way of doing this kind of mass scale, relatively fast, open source data processing. The...

Previously in part one of this blog series, I explained the problems with two methods of database interactions. Traditional JDBC-style interactions mean that locking and latching take up ~30% of compute time. This overhead skyrockets when you try to use a distributed system. A NoSQL key-value...

First off: I’m not here to bash NoSQL. NoSQL came into existence for a good reason — your generic legacy SQL RDBMS is often slow and expensive when compared to NoSQL alternatives. But much of the discussion I’ve seen about NoSQL, NewSQL, Legacy RDBMS and...

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