Analytics Artificial Intelligence Big Data Design 
Dynatrace
DECEMBER 15, 2022
ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Collect raw data in virtual and nonvirtual environments from multiple feeds, normalize and structure the data, and aggregate it for alerts.
Scalegrid
MAY 13, 2020
Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design.
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All Things Distributed
DECEMBER 20, 2017
Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. Value creation through data.
Scalegrid
FEBRUARY 8, 2024
Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.
Dynatrace
OCTOBER 14, 2021
Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?
Dynatrace
OCTOBER 4, 2022
Data lakes, meanwhile, are flexible environments that can store both structured and unstructured data in its raw, native form. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data warehouses.
Scalegrid
MARCH 14, 2024
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.
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