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Unlock the power of contextual log analytics

Dynatrace

This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries. There is no need to think about schema and indexes, re-hydration, or hot/cold storage. Using patent-pending high ingest stream-processing technologies, OpenPipeline currently optimizes data for Dynatrace analytics and AI at 0.5

Analytics 280
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Real-time business analytics with Dynatrace: Unleashing the treasure trove of insights from your observability data

Dynatrace

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 250
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. It also serves as central configuration of access patterns such as consistency or latency targets.

Latency 256
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Transforming Business Outcomes Through Strategic NoSQL Database Selection

DZone

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. Factors like read and write speed, latency, and data distribution methods are essential. In a detailed article, we've discussed how to align a NoSQL database with specific business needs.

Database 278
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Designing Instagram

High Scalability

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334
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Nine ways technology executives can get significant business value with the right observability platform

Dynatrace

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant. This is inefficient and creates avoidable risks.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.