Analytics Big Data Infrastructure Programming 
Dynatrace
JUNE 26, 2023
And it covers more than just applications, application programming interfaces, and microservices. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? Software is behind most of our human and business interactions.
Dynatrace
OCTOBER 4, 2022
How does a data lakehouse work? Data lakehouses typically provide support for data ingestion through a variety of methods. These include application programming interfaces, streaming, and more. This data lands in its original, raw form without requiring schema definition. Support diverse analytics workloads.
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Dynatrace
APRIL 19, 2023
BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs. Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools.
Dynatrace
JULY 6, 2022
With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Big data automation tools.
Dynatrace
APRIL 11, 2023
The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. Convergence of observability and security data is a must As digital transformation accelerates, most organizations house hybrid cloud environments for which observability and security are paramount concerns.
ScaleOut Software
JULY 19, 2021
Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.
The Netflix TechBlog
MARCH 2, 2021
At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.
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