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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. In the world of technology, things are always changing. It is especially true in the world of big data.

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Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle.

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IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Cloudera

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

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Closing The Loop On Event Data Collection With Iteratively

Data Engineering Podcast

Summary Event based data is a rich source of information for analytics, unless none of the event structures are consistent. The team at Iteratively are building a platform to manage the end to end flow of collaboration around what events are needed, how to structure the attributes, and how they are captured.

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Data Science for IOT: Challenges, Technologies, Importance

Knowledge Hut

With advances in technology, wearable devices do provide some trace of your health. How do they collect, process, and analyze data for you? Importance of Data Science in IoT IoT and Data Science are amongst the most defining technologies of our age. Data Science for IoT has its own share.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

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Building A Real Time Event Data Warehouse For Sentry

Data Engineering Podcast

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. As they scaled the volume of customers and data they began running into the limitations of their initial architecture. What are some of the downstream benefits of using Clickhouse for managing event data at Sentry?