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Navigate end-to-end data compliance through effective log management

Dynatrace

With an increasing number of regulations and standards governing how businesses handle data, an end-to-end compliance strategy is crucial. By ensuring that all processes—from data collection to storage and usage—comply with regulatory requirements, organizations can better manage potential threats. Want to learn more?

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321
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Introducing Impressions at Netflix

The Netflix TechBlog

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Tuning 166
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.

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The capabilities government leaders need as they manage the cloud’s data explosion

Dynatrace

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. Distributed architectures create another challenge for governments and public-sector organizations. A lack of visibility into cloud environments .

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Dynatrace AI-powered platform operates on AWS Tokyo

Dynatrace

Dynatrace, operated from Tokyo, addresses the data residency needs of the Japanese market Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution in 19 worldwide regions on three hyperscalers (AWS, Azure, and GCP). Government cloud services must use Japanese data centers.

AWS 278
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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration.