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 […]
Cloud Architecture Mistakes: Losing Visibility and Control Over Data Processing
This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management. In making their digital transformations, organizations too often lose visibility and control of their data right from the beginning. They can […]
The Semantic Lakehouse Explained
Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack. In this article, […]
Understand the “Why” in Your Data Security Woes
Companies are drowning in data. This is a swelling trend that businesses have no choice but to act on, and security teams are likely to feel the greatest consequences moving forward. There are myriad shiny solutions and schools of thought that seek to make sense of the data influx, but leaders must first ensure the […]
Observability: Traceability for Distributed Systems
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […]