Creative Data Automation and Orchestration Give Stunning End Results

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Creative Data Automation and Orchestration Give Stunning End Results

Data automation and orchestration allow developers and data scientists to do pretty incredible things. Read on to see how their changing the IT industry.

· Big Data Zone ·
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Automation and orchestration have given us free two-day shipping via Amazon Prime; next day shipping via the major postal companies; delivery via Uber or drone; and so on. These are all concepts that we are either intimately familiar with as consumers, or at least are cognizant of because of news reports, TV commercials, and online videos.

Convenience and Digital Transformation

The value of convenience cannot be overstated. However, our need for instant gratification dictates that there will be times when even these quick-but-not-instant methods of delivery, unthinkable just a few years ago, are not enough. For example, an unexpected blizzard in my area this past year was manageable for me since I already owned snow removal equipment. But as I drove past kids sledding in the field at the end of the street, I realized I wanted to buy a sled for my children too. Next day shipping couldn't satisfy my need to have a sled today.

In spite of these rising expectations, technology - especially data automation - has still afforded us a level of agility that didn't exist ten years ago. For example:

  • Netflix uses data automation to perform real-time analysis of their customers' viewing habits to suggest new movies they may want to watch. This starts with an ETL (extraction, transformation, and loading) process that gathers the data and normalizes it into a format that is more easily digestible by the balance of the algorithmic analysis engine, which results in bespoke recommendations for the viewer.
  • LinkedIn uses data automation to perform real-time analysis of their users' network to suggest people that they may know based on degrees of separation. This starts with several ETL processes that run on Hadoop, Teradata, and other data sources to enable this functionality to work.
  • AMC Theaters uses data automation to perform real-time analysis of ticket and concession sales, which automatically updates their social media feeds. This starts with an ETL process on Hadoop to gather, normalize, and process information to post updates to various social media sites with no user intervention.

Digital Growth

Anything that defines "a quality experience" for a business is quantifiable and should be measured. Why not? After all, this need exists whether you are a brick-and-mortar business, an online business, or a hybrid of the two, like AMC. The process of measuring, gathering, analyzing, and reporting unearths what is and is not working, so success can be capitalized on in real time.

As you can see from the examples above, the results can be stunning. But the quantity of data that these companies generate means none of this would be possible without data automation, which is geared specifically at real-time execution of jobs to gather and then process large amounts of data virtually instantly.

The Orchestration Backbone

There are a number of platforms to process large amounts of data (Hadoop, Hortonworks, and Cloudera, to name a few). However, the orchestration to coordinate the activities around gathering and reporting is critical. Without it, you would be stuck with the task of building a custom set of solutions to do these two very important activities. It is this orchestration that distinguishes a large data processing platform like Hadoop from a data automation platform that enables you to effect a change in your company based on what the data contains.

The other thing all the above examples have in common? They all chose CA to provide the orchestration capabilities that allow them to transform their businesses into something that responds in real-time to the needs of their customers and users.

Automation, when properly harnessed, means the difference between being able to continuously innovate and rapidly becoming irrelevant. And though large-scale adoption of automation is not an endeavor to be undertaken on a whim, examples of data automation like those listed above show the outstanding benefits that come as a result of this investment that you make for your company's future.

automation, big data, data agility, hadoop

Published at DZone with permission of Larry Salomon . See the original article here.

Opinions expressed by DZone contributors are their own.

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