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Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Cloudera

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services.

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How DoorDash Migrated from StatsD to Prometheus

DoorDash Engineering

Challenges Faced With StatsD StatsD was a great asset for our early observability needs, but we began encountering constraints such as losing metrics during surge events, difficulties with naming/standardized tags, and a lack of reporting tools. We’ll briefly introduce StatD’s history before diving into those specific issues.

AWS 82
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Complying with Quebec’s Data Privacy Laws Is Easier with the Data Cloud

Snowflake

This blog post specifically addresses the highlighted sections in P-39.1 – Act respecting the protection of personal information in the private sector. This is made easier if PII data was appropriately classified and tagged as part of the privacy impact assessment, and so this is a best practice for organizations to follow.

Cloud 78
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Cloud Analytics Powered by FinOps

Cloudera

The traditional “lift and shift” approach is not appropriate when building cost-effective cloud architectures. Resource tagging CDP Public Cloud allows administrators to easily add tags to the Data Service and resources the platform deploys on the company’s cloud tenant.

Cloud 74
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Scalable Annotation Service?—?Marken

Netflix Tech

Annotations Sometimes people describe annotations as tags but that is a limited definition. Marken architecture Above picture represents the block diagram of the architecture for our service. Our architecture makes it possible to easily onboard and ingest data from Media algorithms.

Algorithm 113
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Enabling Data Mesh Principles for Organizational Agility

Snowflake

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Still, implementing this new architecture was not without its challenges. It’s also crucial that teams consider the price tag of the data mesh.

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Improved Alerting with Atlas Streaming Eval

Netflix Tech

High Level Architecture The idea, at a high level, was to avoid the need to query the Atlas database almost entirely and transition most alert queries to streaming evaluation. The internals here are outside the scope of this blog post. Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

Database 115