10 Data Integration Predictions for 2015 (Part 2)
Alas, 2014 is in the rear view mirror its back to work on building better data systems and processes. But before we get ramped up, let’s take a minute to look forward to 2015 and think about what trends we can expect to see in the data integration space. Unfortunately, predictive analytics is not currently advanced enough to make accurate predictions for the data integration market, but luckily we have the ability to look at historical data and trends to help us make some forecasts. In my previous article called “10 Data Integration Predictions for 2015 (Part 1)”, we went over predictions 1 through 5. In this article we will review predictions 6 through 10:
6. Data integration tools become easier to use
Companies have been making extensive improvements to their data integration tool’s user interfaces allowing business managers with little technical experience to perform their own data extraction request without the need of IT. Some tools now have the ability to instantly identify data types and sizes, preview options that verifies report models being built, and extract data for complex reports in a single pass. In 2015, we will see more innovations that will continue to make data integration easier for the business user.
7. Data integration leverages Hadoop
Many experts have predicted that Hadoop would command the market in data warehousing, business intelligence, and ETL in the near future. That has yet to be seen, but what we do see is that data integration players are putting in their chips and betting that the experts might be correct this time. For example, data integration company Syncsort created a trend-setting product that has the ability to provide an approach to Hadoop ETL that eliminates the need for custom coding, which improves Hadoop’s processing efficiency. Data Integration industry leader Informatica is integrating with Hadoop through a partnership with Hortonworks. Together, Hortonworks Data Platform and Informatica enable organizations to optimize their ETL workloads with long-term storage and processing at scale in Hadoop. In 2015, I predict that we will see more developments and partnerships to enable and leverage the advantages of using Hadoop.
8. Data orchestration gets added to solutions portfolios
Data Orchestration refers to the ability to define and align the business request with the application, data, and infrastructure. Enterprises leveraging data orchestration will have a more control over the data means for each application view through automation. In 2014, Attunity introduced a product called Maestro which is highly scalable platform orchestrates and automates data transmission and deployment processes of Big Data, applications, and large-file assets throughout global data centers. In 2015, I predict that we will see more data integration companies following suit by adding data orchestration offerings to their product portfolios.
9. Data integration focuses on security
2014 was a rough year for security breaches. Major enterprises such as Target, Home Depot, and Sony were all hacked and their data and reputations were all effected. You can be sure that 2015 will be a the year of security breach prevention. A top priority in all CIO’s dockets will be data integration security especially with so many distributed systems located remotely where regulations are not monitored closely. Not only will we see a shift towards data integration security in enterprises, but we will also see data integration security as a top concern for federal agencies, including the Department of Homeland Security, Department of Transportation, and the Department of Agriculture. I predict and hope that in 2015 we will see the number of security breaches decrease.
10. Mobile data integration
Each year we become more mobile as a society. Both personally and professionally, we travel with our smartphones and tablets and we can’t imagine a world without them. Due to this trend that is moving precipitously upward, data integration companies are working on positioning themselves to accomodate the mobile economy. For example, in 2014 mParticle investing millions into a data integration platform aimed to target mobile developers. This will allow mobile app developers to integrate with mParticle instead of installing numerous software development kits to collect data. In 2014, SnapLogic released an app that allows IT professionals to monitor and manage their data integration workflows anywhere from an iPhone or iPad. These are just two examples of the many companies going mobile with their data integration solutions and I’m certain we will see this trend continue into 2015.
Click here for data integration predictions 1-5.