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Rockset Architecture Whiteboard Session With CTO Dhruba Borthakur

Rockset

In this 30 minute video overview, CTO and Rockset Co-founder Dhruba Borthakur discusses Rockset's ALT architecture , how data is ingested, stored and queried in Rockset, and why Rockset is simple to use, incredibly fast, and capable of the highly efficient execution of complex distributed queries across diverse data sets.

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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

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Data News — Week 23.12

Christophe Blefari

LinkedIn team decided to migrate to a lambda architecture and got 94% uplift in performance. I don't have a lot to say except the fact that we are going in a future with a lot of databases choices. How fast is DuckDB really? — Georges, Fivetran CEO, ran a performance test to have metrics on DuckDB performance.

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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Databases could just buffer, ingest and query data on a regular schedule. Finally, you could always plan ahead for bursty traffic and overprovision your database clusters and pipelines. Many databases claim to deliver scalability on demand so that you can avoid expensive overprovisioning and keep your data-driven operations humming.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

This framework, along with Apache Spark for batch processing, formed the basis of LinkedIn’s lambda architecture for data processing jobs. The lambda architecture approach led to operational complexity and inefficiencies, because it required maintaining two different codebases and two different engines for batch and streaming data.

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StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

With real time alerts for problems in your databases, ETL pipelines, or data warehouse, and integrations with Slack, Pagerduty, and custom webhooks you can fix the errors before they become a problem. You monitor your website to make sure that you’re the first to know when something goes wrong, but what about your data?

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How to Create Near Real-time Models With Just dbt + SQL

dbt Developer Hub

You don’t want to hit your production database unless you want to frighten and likely anger your DBA. Lambda views are a simple and readily available solution that is tool agnostic and SQL based. What are lambda views? ​ The idea of lambda views comes from lambda architecture.

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