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Accelerating Deployments of Streaming Pipelines – Announcing Data in Motion on Kubernetes

Cloudera

These services provide a unique and powerful combination of streaming data movement, real-time processing, and streaming analytics with low code development experiences that make delivery of real-time pipelines efficient at massive scale. Many organizations are facing cost and latency challenges related to streaming data in the cloud.

Kafka 71
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Data Engineering Weekly #168

Data Engineering Weekly

Meta: Introducing Meta Llama 3 - The most capable openly available LLM to date Meta is taking an interesting approach in the growing LLM market with the open source approach and distribution across all the leading cloud providers and data platforms. It is exciting to see Llama 3 with 70B parameters on par with GPT-3.5,

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The New Releases of Apache NiFi in Public Cloud and Private Cloud

Cloudera

on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 QueryNiFiReportingTask : this new reporting task allows you to run SQL queries against the internal monitoring data stored by NiFi (metrics, status, bulletins, provenance, etc.) Cloudera also released CDP 7.2.9 NiFi’s monitoring.

Cloud 75
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5 Key Takeaways from Flink Forward 2023

Cloudera

2: The majority of Flink shops are in earlier phases of maturity We talked to numerous developer teams who had migrated workloads from legacy ETL tools, Kafka streams, Spark streaming, or other tools for the efficiency and speed of Flink. Join our webinar December 14 to see a demonstration and ask questions. Takeaway No. Takeaway No.

Kafka 82
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Data Engineering Weekly #110

Data Engineering Weekly

I agree with #3 (central data platform team remains) and #6 (data warehouse and data lake difference blur); it will be amazing if #4 ( > 51% ML application in production) becomes true. On #5, I have a vested interest in Data Contract with Schemata , So hell yeah.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. The term modern data stack refers to the multiple modular SaaS solutions that comprise the data platform and pipeline (more on those later).