The late, great George Carlin had his seven dirty words that could not be said on television, and the once-great Amazon now has seven of its own.
Do you understand the difference between these data structures? We break it down and explain how Aparavi impacts your data.
Aparavi and GigaOm discuss data enhancement, intelligent archives, how to create additional value for existing data, and unstructured data growth.
Successful data classification projects are well-supported with a blend of pre-built policies, processes and technical tools.
Aparavi and GigaOm recently co-presented a webinar on how the right data management practices and intelligent archives boost the value of data.
Aparavi was designed to meet the challenges of unstructured data with intelligent multi-cloud data management that organizes, retains, and makes data readily accessible.
We compiled some interesting statistics to look at data growth, cloud trends, and other fun info (90% of all data was created in the last two years!).
Poorly managed sprawl, whether it’s capacity growth, unnecessary redundancy, or excessive bandwidth, is never cost-effective. Here’s how we keep costs low.
The way we manage data has changed. Comparing backup vs. archive, the two once served fairly similar purposes, but they’ve diverged more and more with time.
Organizations need a way to intelligently and cost effectively manage their unstructured data long-term. Follow data archiving best practices with Active Archive.