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Supercharging Tableau with Nexla Converged Data Platform
Tableau is a popular visualization tool for business intelligence, and Nexla makes it easy to…
DataOps
Six steps to Automated Data Integration from Paper Documents
Even as the world and its data goes digital, paper documents continue to be an…
Why Data Ops Doesn’t Work and What Needs to Change
This is a guest post by Dave Wells, Practice Director Data Management at Eckerson…
By Dave Wells
Fighting COVID-19 with Data
Humanity’s fight against Coronavirus depends on the speed and precision with which we can take…
What is Stream Processing?
What is Stream Processing? Stream processing is the processing of event data in real-time or…
The DataOps Trend is Real: 73% of Companies Plan to Invest in DataOps to Manage Data Teams
In order to grow successfully, companies need to leverage DataOps to better manage data teams….
Product update: New Data Flows view and incoming webhooks
Nexla Release 1.4 Highlights Manage data pipelines in the new Data Flows view Allow services…
New whitepaper: Understanding Avro, Parquet, and ORC
An Introduction to Big Data Formats Innovative, data-centric companies are increasingly relying on big data…
Introducing the 2018 DataOps Assessment
It’s time for the DataOps Assessment—learn how your company’s DataOps compares to others along the…
Let’s Talk DataOps: Adam Leary, VP Applied Machine Learning Group at CBSi
Welcome back to Let’s Talk DataOps! In this series, we interview the leading thinkers in…
Let’s Talk DataOps: Apoorv Saxena, Cloud AI & Research Product Management at Google
Welcome to the latest installment of our interview series, “Let’s Talk DataOps.” In this series…
Three Simple Rules to Gain Control of Retail Data
Every retailer today is digital. Whether you’re a direct-to-consumer digital brand or a 100-year old merchant with an impressive real estate footprint, data is becoming more and more important to your growth. However, harnessing data to drive business value is no easy feat. It can lead to a jumble of messy integrations that break and cause distraction. “Data Operations” is term to describe all the grunt work that has to happen before data can turn into real business value. Streamlining these Data Operations has become a requirement—not just for the retailer’s sanity, but for her bottom line.
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