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Can We Stop Doing ETL Yet?
Despite the advances we've made in data science and advanced analytics in recent years, many projects still are beholden to a technological holdover from the 1980s: extract, transform, and load, or ETL. It's uncanny how 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…
Build on the AWS Cloud with Your Eyes Wide Open
Building data applications on public clouds like Amazon Web Services is a no brainer for many organizations these days. The tools for ingesting, storing, and processing data in the cloud are rapidly maturing, and best of Read more…
As Cloud Grows, Is Resistance to AWS Futile?
If you're looking to build a big data application in 2019, it would be foolish not to check out what Amazon Web Services can offer. Whether you're looking for Hadoop-style processing, graph and time-series databases, or Read more…
What’s Up with 2019? Big Data Predictions
As 2018 rolls to a close, it's time to turn our attention to 2019 and the possibility that it holds. What will happen next year is anybody's guess, which is half the fun in assembling (and hopefully reading) predictions Read more…
What’s Driving the Cloud Data Warehouse Explosion?
The advent of powerful data warehouses in the cloud is changing the face of big data analytics, as companies move their workloads into the cloud. According to analysts and cloud executives, the phenomenon is accelerating Read more…
Mining New Opportunities in Text Analytics
Words. They're piling up at an enormous rate, but what do they all mean? According to text analytics experts, in the rush to utilize AI, companies are missing the opportunity to use well-established techniques to harness Read more…
Ecosystem Play to Generate $100T by 2028, Accenture Says
Digital disruption can be a scary thing. You either innovate by building a digital platform that leverages big data and emerging tech like AI, blockchain, and the Internet of Things, or you get disrupted by somebody who Read more…
Why Innovation Chains Require a Tech-First Approach
During the heyday of the big data hype bubble, companies would invite criticism by spending large sums on emerging tech, such as Hadoop clusters, graph databases, and streaming analytics, before they had devised solid bu Read more…
Power Laws and the Never-Ending Big Data Boom
We're about a decade into the big data boom, which may seem like a lifetime for those who have worked through it. But in many ways, we're just getting started with what big data and AI technology is capable of giving us, Read more…
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