Blogs, News,
White Papers and More

Catch up on Algebraix news here, plus get the latest on Big Data analytics from our top blogger:
analyst/author Robin Bloor . Digging deep? Check our White Papers.

News & Events

What’s causing a stir in our world and yours.

Algebraix Data’s Attendance of Strata & Hadoop World March 14-16 , 2017

From Strata + Hadoop: Join thousands of data scientists, developers, engineers, business decision makers, strategists, architects, and analysts March 13–16, 2017 at the San Jose Convention Center in San Jose, California. Take a look at the schedule and start making your plans today.

Algebraix Data’s Attendance of Spark Summit February 7-9, 2017

From Spark Summit: BE PART OF THE PREMIER BIG DATA EVENT FOR THE APACHE® SPARK™ COMMUNITY.

Since Spark’s inaugural event in 2013, thousands of developers, scientists, analysts, researchers and executives from around the globe have flocked to Spark Summit to better understand how big data, machine learning, and data science can deliver new insights. Whether you’re new to Apache Spark or a hardcore enthusiast, Spark Summit is the place to meet with leading experts to share knowledge, receive training and foster valuable connections.

Algebraix Data ® Announces Release of the Algebraix Query Accelerator

From Algebraix Data: 1st release to run Spark SQL queries 10-10,000x faster

Algebraix Data has announced the general availability of its Algebraix Query Accelerator(AQA) for use on Amazon Web Services and Microsoft Azure. AQA autonomously speeds up Spark SQL queries by orders of magnitude with no human involvement, saving Spark users enormous amounts of time and money.

Keeping Tabs on Big Data Could Add Up for Algebraix

From the San Diego Business Journal: CEO Charles Silver talks Data Algebra TM and Spark SQL optimization in an interview with Brad Graves of the San Diego Business Journal

Today’s Hottest Tech Jobs (and How to Get One)

From Business News Daily: Peter Chen, director of data science at Algebraix Data, comments on today’s most in-demand tech jobs.

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White Papers

The Algebraix Query Accelerator: An Artificially Intelligent DBA

by Robin Bloor, PhD

EDITOR’S NOTE: Spark is the primary platform driving Big Data analytics. It is sometimes used in conjunction with Hadoop but it is also deployed in a standalone manner, particularly in the cloud where other data storage options are available. It is so widely used because it’s in-memory architecture provides speed and it can run analytical applications on structured, semi-structured and unstructured data. Nevertheless, despite its excellent performance on analytical algorithms, the query performance of its Spark SQL optimizer is relatively poor. For this reason, when Algebraix Data chose to focus its software development effort on query optimization, it chose Spark as its initial target.

Algebraix Data, the inventor of data algebra, has devoted a great deal of R&D effort to developing query optimization strategies and techniques and holds a number of patents based on that research effort. This white paper describes its approach to query optimization as implemented in its Algebraix Query Accelerator (AQA) for Spark.

To read the full white paper DOWNLOAD THIS PDF

Data Algebra: Hiding in Plain Sight

EDITOR’S NOTE: Why did Algebraix Data decide to develop an algebra of data, an entirely new branch of applied mathematics designed to describe, integrate and manage data? In part because the company was originally founded by software engineers who believed that a mathematical, universal approach to data was not only possible but essential, given the explosive amounts of data the world is generating.

The algebra of data was created by mathematician Gary J. Sherman, PhD, who is also the lead author of this paper which – after a brief, friendly introduction to set theory – describes the new algebra. His description is really for experienced mathematicians.

To read the full white paper DOWNLOAD THIS PDF

What Is a Cloud Database?

EDITOR’S NOTE: The goal of this white paper is twofold: to define what a cloud database is and to examine whether Algebraix’s math-based data technology is suited to run in the cloud.The need to query multiple, widely distributed data sources is a problem that more and more businesses are encountering as cloud computing continues its rapid growth. Among the core requirements for a cloud database management system (CDBMS): It needs to deliver high availability, scale across large computer grids, and span multiple data centers.

To read the full white paper DOWNLOAD THIS PDF

Blog Posts

Algebraix Data ® Announces Release of the Algebraix Query Accelerator Featured

1st release to run Spark SQL queries 10-10,000x faster Algebraix Data has announced the general availability of its Algebraix Query Accelerator(AQA) for use on Amazon Web Services and Microsoft Azure. AQA autonomously speeds up Spark SQL queries by orders of magnitude with no human involvement, saving Spark users enormous amounts of time and money. The…

Read More

The Spark of Smart Analytics Featured

If you’ve been following the Big Data trend over the past year or so, you may have heard about Spark. Even if you’ve heard of it, you may not be sure why it has garnered so much attention. It’s simple really; it’s about speed. Let’s slice through the computer hype and throw away the words…

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Data Algebra Does Big Data Featured

What makes data algebra so powerful? One simple, extraordinary thing: It can represent data – all data – mathematically. Data algebra starts small. It designates the fundamental unit of data as a couplet, which you can think of as a value (for example, “28”) associated with a qualifier (for example, “countries”). The value alone has…

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Data Algebra: Evolution or Revolution? Featured

Let’s start with the facts: Until recently, there was no method for representing and manipulating data mathematically – despite math having long since been applied to virtually every other field of human endeavor (architecture to X-rays) with powerful benefits.

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Book

Why Has This Little Book Caused Such a Big Stir?

For everyone in the world of data, this new book – The Algebra of Data: A Foundation for the Data Economy – is the 101 on this genuine gamechanger. It was co-written by Gary J. Sherman, PhD, the inventor of the algebra of data and founding mathematician of Algebraix Data, and Robin Bloor, PhD, also a mathematician as well as an influential researcher, analyst, and well-known author.

The authors explain, concisely (and often quite entertainingly), why the ongoing effects of the algebra of data will range from helpful to extraordinary. One example: “Data algebra” (its nickname) has already led to an accelerator mechanism that will speed up and reduce the workload of any given database, no matter how fast it already is. Says one . . . ... Show more.

“The world is only beginning to see the possibilities of data algebra. What Algebraix has done with it to date is the tip of the iceberg.”

How quickly will the algebra of data be adopted? Here’s a prediction: “All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident.” (Thank philosopher Arthur Schopenhauer for that insight.) Happily, the algebra of data should not have to go through this kind of intellectual baptism. Mathematically, it is indisputable (read the book).

Inevitably software developers and engineers will still debate it – all previous paradigm shifts in software have met with some kind of opposition. But eventually acceptance will occur and the new paradigm will switch to the new reality. Meanwhile, think like Victor Hugo:

“An invasion of armies can be resisted, but not an idea whose time has come.”

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