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

Dynatrace

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. In a data lakehouse model, organizations first migrate data from sources into a data lake. What are the features of a data lakehouse? Improved governance.

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130
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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

Cloud operations governs cloud computing platforms and their services, applications, and data to implement automation to sustain zero downtime. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The IT help desk creates a ticketing system and resolves service request issues.

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The AWS GovCloud (US) Region - All Things Distributed

All Things Distributed

This new region, which is located on the West Coast of the US, helps US government agencies and contractors move more of their workloads to the cloud by implementing a number of US government-specific regulatory requirements. Government and Big Data. Today AWS announced the launch of the AWS GovCloud (US) Region.

AWS 111
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Software Testing Trends 2021 – What can we expect?

Testsigma

The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7%

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253