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chaossearch

Databases Compared: Databricks vs. Snowflake vs. ChaosSearch vs. Elasticsearch

May 16, 2024 By David Bunting In ChaosSearch
For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.
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snowflake

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

May 16, 2024 By Snowflake AI Research In Snowflake
On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.
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confluent

Contributing to Apache Kafka: How to Write a KIP

May 16, 2024 By Lucia Cerchie In Confluent
I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.
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Product Update: Boost Databricks productivity, performance, and efficiency

May 16, 2024 By Unravel In Unravel
Today, 65% of IT decision-makers believe their company is falling behind the competition in using data and analytics. Why? Organizations want real-time insights, fraud/anomaly detection, trend analysis, and systems monitoring. The good news – data teams that use DataOps practices and tools will be 10 times more productive.With this in mind, Unravel is hosting a live event to share new capabilities to help you achieve productivity, performance, and cost efficiency with Databricks’ Data Intelligence Platform.
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hitachi vantara

Hitachi Vantara and Veeam Form Global Strategic Alliance to Deliver Comprehensive Data Protection Solutions for Hybrid Cloud

May 15, 2024 By Hitachi Vantara In Hitachi Vantara
New partnership reinforces Hitachi Vantara defense-in-depth strategic approach, combining company's infrastructure expertise with Veeam's data protection and ransomware recovery software.
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snowflake

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

May 15, 2024 By Snowflake In Snowflake
The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.
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astera

What Is Metadata Why Is It Important?

May 15, 2024 By Saba Jahangir In Astera
Metadata refers to the information about data that gives it more context and relevance. It records essential aspects of the data (e.g., date, size, ownership, data type, or other data sources) to help users discover, identify, understand, organize, retrieve, and use it—transforming information into business-critical assets. Think of it as labels on a box that describe what’s inside. Metadata makes it easier to find and utilize the data that you need. Typical metadata elements include.
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astera

Exploring Data Provenance: Ensuring Data Integrity and Authenticity

May 15, 2024 By Zoha Shakoor In Astera
Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?” and “Why was it created? Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability.
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integrate

Data Dashboard Essentials: What You Need

May 14, 2024 By Donal Tobin In Integrate
For even the most tech- and data-savvy individuals, working with the levels of raw data produced by businesses today is overwhelming. Well-executed data dashboards solve this problem by eliminating the noise and drilling down to just the data points necessary at that moment. A data dashboard's dynamic nature helps your team get the most up-to-the-minute information right when they need it.
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Revolutionizing The Data Cloud With Snowflake CEO Sridhar Ramaswamy

May 14, 2024 By Snowflake In Snowflake
To kick off the fifth season of "The Data Cloud Podcast," host Steve Hamm is joined by Snowflake CEO Sridhar Ramaswamy. In this episode, Sridhar explains why organizations need to have a data strategy in order to implement a successful AI strategy. He also discusses the steps involved in creating a foundation model from scratch and why he believes AI is the glue that will bind enterprise software together.
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