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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars. Spark Streaming Vs Kafka Stream Now that we have understood high level what these tools mean, it’s obvious to have curiosity around differences between both the tools.

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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. Now we are able to ingest our data in near real time directly from Kafka topics to a Snowflake table, drastically reducing the cost of ingestion and improving our SLA from 15 minutes to within 60 seconds.

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See Rockset’s Rollups for Streaming Data at Kafka Summit 2021

Rockset

Event stream processing has lately become the most-requested feature among data practitioners, who are ever being pushed by their business counterparts for more fresh, real-time insights to improve their operational decisions and boost the digital customer experience.

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Know Before You Go: Precisely at Confluent’s Current 2023

Precisely

Precisely data integrity solutions fuel your Confluent and Apache Kafka streaming data pipelines with trusted data that has maximum accuracy, consistency, and context and we’re ready to share more with you at the upcoming Current 2023. Let’s cover some additional information to know before attending.

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Data Engineering Weekly #168

Data Engineering Weekly

Grab narrates how it integrated Debeizium, Kafka, and Apache Hudi to enable near real-time data analytics on the data lake. The blog narrates the common challenges with enterprise analytical platforms such as event-centric, schema on-read, and nested json structures.

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StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. How have projects such as Kafka and Pulsar impacted the broader software and data landscape?

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Data Engineering Weekly #141

Data Engineering Weekly

link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar. Cruise Control from LinkedIn is one of my favorite tools for managing the Apache Kafka cluster. But 4 years later, in 2023 — where has the data mesh gotten us?