After years spent purchasing and expanding SaaS usage to meet the challenges created by the pandemic, IT teams are now tightening SaaS spend and see growing security risks from shadow SaaS. SaaS is particularly painful for IT to manage. Ownership of these applications is decentralized across the organization and official procurement processes are often skipped, […]
How Zero Trust Can Help Prevent Data Breaches
Data breaches occur when sensitive information, such as financial data, personal identities, or confidential business information, is accessed and potentially disclosed to unauthorized parties. This can happen due to various reasons such as hacking, malware, human error, or weak security measures. The consequences of a data breach can be significant and far-reaching, including: Common Types […]
Skyrocketing Public Cloud Adoption Is Accelerating Shadow Data Risks
Public cloud spending and adoption are growing fast. Analysts predict that organizations will spend $591.8 billion on cloud infrastructure and services in 2023, up 20.7% from the year before. In fact, according to Forrester, the public cloud market is projected to reach $1 trillion by 2026, with the majority of spend directed to the big four – Amazon Web […]
Innovating with Data Mesh and Data Governance
Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]
ADV Webinar: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks
To view just the slides from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the […]
ADV Slides: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks
Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks from DATAVERSITY To view the On-Demand recording from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed […]
Data Observability vs. Monitoring vs. Testing
Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […]
The Competition Between On-Prem and Cloud Is Over – Hybrid Wins
Many organizations, when faced with the question of how to manage their workloads, ask themselves: on-premises or cloud, pitting the two against each other. But the reality is that most enterprises are operating in the world of “and,” meaning they have workloads on-prem and in the cloud – and that little three-letter word makes a world of difference. According to the State […]
Zero-Copy Integration: How Small Data Practices Will Replace Big Data
The future of data is small. As organizations grapple with ever-increasing amounts of data, the limits of the big data movement are becoming clear. Over the last two decades, big data has provided benefits in the form of cutting-edge software that made the generation, collection, and amalgamation of data widely available to organizations. These positive impacts are […]
A Powerful Pair: Modern Data Warehouses and Machine Learning
Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]