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Rethinking Architecture at Massive Scale

Scale is the eye of the beholder. You might think your cluster is a powerful beast, but it likely pales in comparison to the system built by the folks at The Trade Desk, which spends $90 million year on hardware and brok Read more…

A Decade Later, Apache Spark Still Going Strong

Don't look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, Spark has been on an Read more…

Okera Bolsters Access Control for Unstructured Data

Some of the most interesting data that's analyzed by organizations is unstructured data, including images, videos, and text files. But the lack of structure of that data poses regulatory challenges to organizations, whic Read more…

Training Data: Why Scale Is Critical for Your AI Future

Data is the fuel that drives AI. But there's a big difference in the quality of fuel you can put into your AI engine. If your enterprise can create the biggest stockpile of the highest quality training data, it will like Read more…

In-Data-Lake BI Is the Next Frontier for Business Intelligence

Remember the days before the relational database? Neither do I, so I have no idea how painful it was to keep track of data back then. But even after relational databases became more mainstream, data was still mostly abou Read more…

Keeping the Big Picture In Sight at H2O World

SriSatish Ambati, the CEO of H2O.ai, had just taken the stage at H2O World in San Francisco yesterday morning. His keynote had barely begun, but Ambati clearly had something to get off his chest. "Time is the only non-re Read more…

What’s Driving Data Science Hiring in 2019

Data science jobs are among the highest paying jobs around the world, thanks to the rapid pace of data creation and budding need to make sense of it all. Whether you're a card-carrying data scientist or just a developer Read more…

What Gartner Sees In Analytic Hubs

In the old days, companies would build their business intelligence strategies from the ground up, typically starting with a traditional data warehouse. But as the volume, trajectory, and types of data have exploded, comp Read more…

In Search of a Common Deep Learning Stack

Web serving had the LAMP stack, and big data had its SMACK stack. But when it comes to deep learning, the technology gods have yet to give us a standard suite of tools and technologies that are universally accepted. Desp Read more…

5 Key Data Integration Considerations for Apache Kudu

Apache Kudu was designed specifically for use-cases that require low latency analytics on rapidly changing data, including time-series, machine data, and data warehousing. Its architecture provides for rapid inserts and Read more…

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