Remove Analytics Remove Internet Remove Storage
article thumbnail

What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Real-time analytics.

article thumbnail

Cloud storage startup Wasabi raises $250M to reach unicorn status

TechCrunch

Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.

Storage 224
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

TechCrunch

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. According to Internet Data Center (IDC) , global data is projected to increase to 175 zettabytes in 2025, up from 33 zettabytes in 2018. Data needs to be stored somewhere.

Storage 206
article thumbnail

The targeted approach to cloud and data CIOs need for ROI gains

CIO

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” In this case, IT works hand in hand with internal analytics experts. But there’s an even more essential area for Pacetti.

Cloud 179
article thumbnail

A Timeline of Big Data Analytics

CTOvision

In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. Consider the following to be a brief timeline of the big data analytics phenomenon. The mid-1950s were a time where data was beginning to be used for analytics purposes. Rick Delgado.

Big Data 147
article thumbnail

Is the modern data stack just old wine in a new bottle?

TechCrunch

Remember the cable, phone and internet combo offers that used to land in our mailboxes? For example, a single video conferencing call can generate logs that require hundreds of storage tables. Self-service analytics. More posts by this contributor. Here’s where MLOps is accelerating enterprise AI adoption.

Data 218
article thumbnail

Real-time database startup Imply reaches unicorn status with $100M infusion

TechCrunch

“The industry at large is upon the next wave of technical hurdles for analytics based on how organizations want to derive value from data. Now, the challenge organizations are trying to solve are large scale analytics applications enabling interactive data experiences. Imply’s Apache Druid-powered query view.