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Batch Processing for Data Integration

DZone

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.

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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Which Is the Best PostgreSQL GUI? 2019 Comparison

Scalegrid

It has one of the best editors – multiple data views are available to support a variety of user needs. 2019 Comparison Click To Tweet. It has an advanced refactoring process – when you rename a variable or an object, it can resolve all references automatically. Let’s summarize our top PostgreSQL GUI comparison.

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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Our Image Processing service makes it easy to do that. Our Image Processing service will automatically optimize the image quality and reduce the size of the image if no query string is provided.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. We can then create offline distributed batch processing jobs to correlate & compare the responses across the production and replay paths and generate detailed reports on the analysis.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Performance Comparison: Redis vs Memcached Although Redis and Memcached are high-performance in-memory data stores, their performance characteristics are distinct.

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Implementing service-level objectives to improve software quality

Dynatrace

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Availability. SLOs improve software quality. SLOs promote automation.

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