Some vendors market big data products that span multiple ... new release of its software with a cloud-native architecture, real-time streaming analytics, and support for open data table formats ...

Building a headless data architecture requires us to identify the work we’re already doing deep inside our data analytics plane, and shift it to the left. We take work that you’re already ...

Big data analytics tools have become indispensable ... allows for data discovery without predefined queries. Scalable architecture suitable for enterprises. Strong emphasis on data literacy ...

The easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

This article will explore how decision making using Big Data and data analytics can help drive business development—even in times of economic uncertainty. Why is data analytics vital to businesses?

To succeed, organizations must design adaptable data architecture that seamlessly integrates, enables collaboration and delivers complementary analytics solutions. Based on this trend, technical ...

Databricks and Redshift are two powerful data management solutions that offer ... eWeek has the latest technology news and analysis, buying guides, and product reviews for IT professionals and ...

Here’s a look at 10 big data startups that caught our ... disciplinary team” of people with expertise in system architecture, data analytics, cloud, SaaS, open-source development and other ...

Data architects require math and computer science proficiency, data management skills, and the ability to analyze and present statistical information. According to compensation analysis from ...

Today’s macro headwinds add pressure when asset managers are already competing in a crowded field. Market volatility, interest rates, and inflation are making rapid moves unlike anything the ...