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HBase Deprecation at Pinterest

Pinterest Engineering

Alberto Ordonez Pereira | Senior Staff Software Engineer; Lianghong Xu | Senior Manager, Engineering; This blog marks the first of a three-part series describing our journey at Pinterest transition from managing multiple online storage services supported by HBase to a brand new serving architecture with a new datastore and a unified storage service.

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Azure Monitor vs Azure Advisor: Key Differences & Similarities

Knowledge Hut

And to get the most out of our Azure Solution Architecture , it’s paramount to know the difference between Azure Monitor vs. Azure Advisor. We'll tackle the longstanding debate of Azure Monitor vs. Azure Advisor in this blog. This will help us learn all the ins and outs of Azure resource management. Let’s get started!

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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Take precaution using CDSW as an all-purpose workflow management and scheduling tool. Using CDSW primarily for scheduling and automating any type of workflow is a misuse of the service. Impala vs Spark Use Impala primarily for analytical workloads triggered by end users.

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Most In-demand Microsoft Azure DevOps Skills in 2023

Knowledge Hut

An Azure DevOps Engineer specializes in using Microsoft's Azure DevOps services and tools to streamline and optimize the software development and deployment process. This role primarily focuses on implementing and managing DevOps practices within an organization in Microsoft's Azure cloud platform. Who is an Azure DevOps Engineer?

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Observe Everything

Cloudera

While in the old world where questions around data quality or system performance were answered by monitoring a few logs and metrics, in a distributed landscape (like a hybrid data platform) it’s not that straightforward. There are many logs and metrics, and they are all over the place. That’s where observability comes in.

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How Cloudera Supports Zero Trust for Data

Cloudera

With use cases from citizen services to military intelligence, government data is leveraged as a strategic asset across agencies (civilian and DoD). With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model. It’s a win-win.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).