Analytics

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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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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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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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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Hitachi Vantara

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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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Astera

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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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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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Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge

May 14, 2024 By logging enabled In Confluent

Last year, we introduced the Connect with Confluent partner program, enabling our technology partners to develop native integrations with Confluent Cloud. This gives our customers access to Confluent data streams from within their favorite applications and allows them to extract maximum value from their data.

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Confluent

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Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

May 14, 2024 By Harini Gopalakrishnan In Snowflake

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

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