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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

The Hong Kong Monetary Authority (HKMA)’s Operational Resilience Framework provides guidance for Authorized Institutions (AIs) to ensure the continuity of critical operations during disruptions: governance, risk management, business continuity planning, and oversight of third-party dependencies. Were challenging these preconceptions.

Analytics 289
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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. Data management.

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Dynatrace AI-powered platform operates on AWS Tokyo

Dynatrace

Domain-specific guidelines recommend local data storage in Japan. Government cloud services must use Japanese data centers. trillion yen into its Japanese cloud infrastructure by 2027. In certain sectors, data must be stored in Japan, and cloud solutions must support this rule. Data residency in Japan is a must.

AWS 278
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Polymorphic Data Storage. Greenplum Advantages.

Big Data 321
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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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Causal AI use cases for modern observability that can transform any business

Dynatrace

Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

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Measuring the importance of data quality to causal AI success

Dynatrace

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. Fragmented and siloed data storage can create inconsistencies and redundancies.