Databricks’ Post

This is how data management outperforms in a modern cloud architecture...

More validation from key analysts in the leadership of the Databricks Data Intelligence Platform. In addition to being leaders in Gartner MQs for DS/ML and Cloud Database Management, as well as the Forrester Waves for Lakehouses and AI Foundational Models, Databricks is a leader in data pipelines and stream processing. No need to compromise on any part of your enterprise data + AI platform!

Two more analyst reports that have Databricks in the Leader's position. If you want to learn more about Databricks and understand why the analyst community is so bullish on Databricks leading the charge across your data estate, let's chat.

OCI GoldenGate Stream Analytics is generally available now! 💥 Oracle Cloud Infrastructure GoldenGate Stream Analytics (OCI GGSA) allows users to model, process, analyze, and act on real-time streaming information using sophisticated correlation patterns, time-series analytics, geospatial analysis, and machine learning. Here's the latest video - https://lnkd.in/gH8RhCB7 Checkout the blog post -  https://lnkd.in/gQbDTz9M #oci #goldengate #streaming

📣📣📣 #Flink workshop alert! 📣📣📣 Calling all #analytics, #BI, #DWH, #infosec and #data teams: In our virtual hands-on workshop, you will learn how to easily filter, join and enrich streaming data within Confluent Cloud using our serverless Flink service. By attending you will: • Learn about the most popular Stream Processing use cases  • Explore the key differences between KStreams, ksqlDB & Flink • Create your first Flink query on notebook on the Cloud • Learn the key Flink features that empower data intelligence https://lnkd.in/dUeDAzxr

All organizations are collecting data constantly. If data sits unprocessed and not acted upon, the less valuable it becomes. This post is about decentralized multi-cloud architectures. Architectures built using OCI real-time capabilities that allow you to combine cloud services from multiple clouds to optimize functionality, speed and performance.

Thrilled to see Databricks' innovative approach to data engineering and data streaming recognized in two new reports: - 2024 IDC MarketScape: Worldwide Analytic Stream Processing - The Forrester Wave™: Cloud Data Pipelines, Q4 2023 Download here👇 #Databricks #cloud #datapiplines

Multi cloud and real time data architectures are becoming the norm and Daniel Halldin does a great job explaining how to architect real time data architectures deployed in several clouds. Highly recommended. #oracle #oci #dataplatform #autonomous #datamesh #dataproducts

Our #PAKcloud is the infrastructure you need for smart data management. Our advanced cloud tools and services enable you to ☑ Access, search & filter your data from anywhere ☑ Process large amounts of data in parallel ☑ Establish a consistent, standardized approach to data storage Use our 𝗣𝗔𝗞 𝗰𝗹𝗼𝘂𝗱 to build your own data network, create synergies in data management, and improve your engineering tasks! More information: https://lnkd.in/d7jv8yZ3 #mbbmvas #nvh #data #cloud #datamanagement #software #streaming

Announcing general availability for Kafka compression in Azure Event Hubs. Today, we're excited to announce that compression for Kafka clients is generally available in Azure Event Hubs.   Azure Event Hubs is a cloud native streaming service enabling you to build scalable, durable and low-latency workflows with massive volumes of event data with ease. As you onboard more workloads to Azure and build them around Azure Event Hubs, your bandwidth and storage requirements may scale exponentially.   Kafka compression can help with this by reducing the data payloads that are stored and transmitted across your architecture, thus reducing... #techcommunity #azure #microsoft https://lnkd.in/geBkGQQG