Creating a data extractor is usually simple in the mind of a developer, although in reality it’s usually not so simple. Data extraction as a concept is fairly straightforward: Get the data from A and copy it to destination B. However, as most developers know, the devil is in the detail.

A common misconception about Big Data is that it is a black box: you load data and magically gain insight. This is not the case. As this New York Times article “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” describes, loading a big data platform with quality data with enough…

This is the third article in a series.  The first article is available here. The second article is available here.

Not every database requires a temporal database implementation, but some do. We can help…

This is the second article in a series. The first article is available here.

How to implement a temporal database

Not every database requires a temporal database implementation, but some do. We can help you get started. As discussed in our previous article, the SQL-2011 standard included clauses for the definition of temporal tables as…

Over the past six months we have been working with the reliability and maintenance organization within a large oil and gas client to build out their Master Equipment List (MEL). Like many asset-intensive organizations, they have implemented an Enterprise Asset Management (EAM) tool to give them visibility and control over their capital equipment to optimize their maintenance strategies, reduce operating costs, and better manage their workforce and spare parts inventories. The challenge is…

What is a temporal database?

A temporal database is a database with built-in support for handling data involving time.

This definition  is from Wikipedia. It is simple and straightforward. Since we expect every database to have some kind of support for time operations, we could say that all databases are temporal databases based on this definition.

The reality…

The Big Data Yawn

Over the past couple of months we have met with a number of oil and gas executives to demonstrate our Oil and Gas Solution built on Data-Tactics’ Big Data Engine (BDE). During these conversations it has become obvious that the very mention of "Big Data" produces an involuntary physiological response among business leaders - eye rolls and yawns. It appears that big data has reached the Gartner "trough of disillusionment". These executives have heard from a bewildering…

Big Data continues to be the buzzword du jour.  And as with most popular concepts espoused by everyone from marketers and consultants to purveyors of software and infrastructure, the phrase can mean different things to different people.  For us at Sullexis, we think of Big Data as a set of technologies that enable our clients to consume and process high volumes and/or diverse types of information.

But our clients need ROI.  Neither access to a large amount of diverse data nor…

Your custom MDM solution: Don’t make these mistakes (Part 1)

Most MDM implementations will be based on a commercial software product.  By relying on a packaged solution, the architectural considerations have been addressed by the software vendor, allowing the project team to focus on the data management considerations.  However, there are cases when a custom MDM solution may be needed.  When proceeding down the path of custom development for MDM, we have some advice for you:…