What are the big data trends for 2019?

We seek ever more data for a good reason: it’s the commodity that fuels digital innovation. However, turning those huge data collections into actionable insight remains a difficult proposition. Organizations that find solutions to formidable data challenges will be better positioned to economically benefit from the fruits of digital innovation.

With that basic premise in mind, here are 10 trends in big data that forward-looking organizations should look out for in 2019:

1. Data Management Is Still Hard

2. Data Silos Continue Proliferating

3. Streaming Analytics Has Breakout Year

4. Data Governance Builds Steam

5. Skills Shift as Tech Evolves

6. Deep Learning Gets Deeper

7. ‘Special K’ Expands Footprint

8. Clouds Hard to Ignore

9. New Tech Will Emerge

10. Smart Things Everywhere

Previously, big data was primarily deployed by big businesses, who could afford the technology and channels used to collect and analyze the information. Today the scope of big data is changed leading to business enterprises large and small rely on big data for intelligent business insights. This has led to big data evolving at an unbelievably fast pace. The best example of the growth is big data in the cloud which has led to even small businesses taking advantage of the latest technology trends.

The never-ending stream of information is valuable to the business, but it can also be a challenge to draw actionable insights from a large data pool of data which may be unstructured. Even with these roadblocks, there’s no denying the fact that big data offers business tremendous opportunities for growth.