Backup Big Data Disaster Recovery Software 
CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.
Storage IO Blog
FEBRUARY 15, 2018
Benefits of Moving Hyper-V Disaster Recovery to the Cloud Webinar Benefits of Moving Hyper-V Disaster Recovery to the Cloud and Achieve global cloud data availability from an Always-On approach with Veeam Cloud Connect webinar.
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Tech Republic Big Data
SEPTEMBER 20, 2023
A DBA is a technician skilled in SQL and very large databases who is responsible for managing database software, backup and recovery processes, data security, and storage and capacity planning.
Storage IO Blog
FEBRUARY 11, 2018
World Backup Day 2018 Data Protection Readiness Reminder It’s that time of year again, World Backup Day 2018 Data Protection Readiness Reminder. In case you have forgotten, or were not aware, this coming Saturday March 31 is World Backup (and recovery day).
Storage IO Blog
NOVEMBER 26, 2017
Enabling Recovery Points (Backup, Snapshots, Versions) Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017) By Greg Schulz – www.storageioblog.com November 26, 2017 This is Part 4 of a multi-part series on Data Protection fundamental tools topics (..)
CIO Business Intelligence
FEBRUARY 19, 2024
Analisi dei dati, addestramento dei nuovi modelli di intelligenza artificiale , sviluppo software, ammodernamento dei sistemi legacy, partecipazione alla definizione del budget, dialogo con le funzioni di business, relazione con i fornitori: i compiti del CIO si moltiplicano ogni giorno di più.
Cloud Musings
DECEMBER 11, 2015
Existing in the dark shadow of the most widely adopted Software-as-a-Service (SaaS) and foundationally powerful Infrastructure-as-a-Service (IaaS), the third service model is often misunderstood and widely ignored. Through this strategy, the company was relieved of most of the care and feeding of its data warehouse.
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