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The Future of Data Warehousing

Monte Carlo

In this blog post, we’ll look at six innovations that are shaping the future of the data warehousing, as well as challenges and considerations that organizations should keep in mind. Data lake and data warehouse convergence 2. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

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Internal services pipeline in Analytics Platform

Picnic Engineering

We continue our story on the Analytics Platform setup in Picnic. In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. Our pipeline captures these events and sends them to Confluent Cloud.

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Rockset Enhances Kafka Integration to Simplify Real-Time Analytics on Streaming Data

Rockset

We’re introducing a new Rockset Integration for Apache Kafka that offers native support for Confluent Cloud and Apache Kafka, making it simpler and faster to ingest streaming data for real-time analytics. We’ve been able to go from raw event streams to a fast SQL query in 5 minutes ?.

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Druid Deprecation and ClickHouse Adoption at Lyft

Lyft Engineering

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. For new platform engineers, it presented a steeper learning curve. For example: How many rides in the last 2 hours in the SF region?) An example of how we use Druid rollup at Lyft.

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5 Tasks You Can Automate in Rockset Using Scheduled Query Lambdas

Rockset

Here we track every click to every product in our webshop, and then ingest this data into Rockset via Confluent Cloud. Use case 2: Creating materialized views or development datasets Rockset supports automatic real-time rollups on ingestion for some data sources. Let’s now configure the schedule for our query lambda.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

And, out of these professions, this blog will discuss the data engineering job role. Source Code: Smart IoT Infrastructure Data Engineering Project with Source Code 2) Aviation Data Analysis Aviation Data can segment passengers, observe their behavioral patterns, and reach out to them with relevant, targeted promotions.

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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss the challenges we faced developing, building, and deploying the KSQL portion of our application and how we used Gradle to address them. KSQL primer.

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