Remove Architecture Remove Database Remove Lambda Architecture
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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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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. Let’s dive into the world of data pipeline architecture. What Is Data Pipeline Architecture? That’s where we step in.

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Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert. What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert.

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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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Writing The Book That Offers A Single Reference For The Fundamentals Of Data Engineering

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.

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What is Data Ingestion? Types, Frameworks, Tools, Use Cases

Knowledge Hut

Organizations build data ingestion architecture to make sense of the complexity in the data and derive more value from it. A Data ingestion pipeline could be grouped under several types: Batch architecture: In this system, the raw data from various sources is collected in batches and moved to a target location.

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Unified Streaming And Batch Pipelines At LinkedIn: Reducing Processing time by 94% with Apache Beam

LinkedIn Engineering

In the past, we often used lambda architecture for processing jobs, meaning that our developers used two different systems for batch and stream processing. Architecture With our new architecture (as shown in Figure 3), developers only need to develop and maintain a single codebase written in Beam.

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