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In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera DataWarehouse with Iceberg. We will publish follow up blogs for other data services. Read why the future of data lakehouses is open.
These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise datawarehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.
These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise datawarehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.
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This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books. You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. 24×7 business-critical use cases.
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Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game. To learn more: Watch SingleStore-IBM Webinar. Visit IBM website on SingleStore.
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IBM Security® Guardium® Data Protection empowers security teams to safeguard sensitive data through discovery and classification, data activity monitoring, vulnerability assessments and advanced threat detection.
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Watch the webinars : erwin Data Modeling 101-401 for the cloud. Blog: Data Modeling 101: OLTP data modeling, design, and normalization for the cloud. Blog: Data Modeling 201 for the cloud: designing databases for datawarehouses. Related links: Like this blog? Join a group today. Like this blog?
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I was pricing a data warehousing project with just 4 TB of data – small by today’s standards. I chose “OnDemand” for up to 64 virtual CPUs and 448 GB of memory, since this datawarehouse wanted to leverage in-memory processing. So that’s $136,000 per year just to run this one datawarehouse in the cloud.
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Avoid making important decisions based on outdated data. With interactive reporting technology, you can easily refresh your reports to access real-time data, making financial reporting faster, more efficient, and highly accurate. Catch our on-demand webinar on how to make the best use of your Hubble toolkit.
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It’s important for the non-profit organization to know the most effective method for interacting with its unique demographic. This non-profit KPI is comprised of three smaller metrics that should be monitored for optimal effectivity: Applause : This metric is used to measure passive interactions with social media posts.
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