Data Management

Data Management | News, how-tos, features, reviews, and videos

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Snowflake pushes back at… whom?

Making great efforts to tout its closed source software, Snowflake may be trying to convince an audience that doesn't really care.

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The value of time series data and TSDBs

Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and analyze time series data.

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CIO Think Tank Roadmap Report: Reinventing IT

As companies accelerate out of pandemic disruption, how can IT meet increasing demands — and reap unprecedented benefits? In a series of virtual roundtables, dozens of IT leaders offered key insights about the road ahead.

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PostgreSQL benefits and challenges: A snapshot

PostgreSQL continues to improve in ways that meet the needs of even the most complex, mission-critical use cases. It also presents certain challenges.

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New tools for Azure Data at Build 2021

From immutable ledgers in SQL Azure to in-memory cache in Cosmos DB, Microsoft is adding more features to its Azure data platform.

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Striking a balance with ‘open’ at Snowflake

At Snowflake, we fully embrace the value of open standards and open source. But we strive to avoid misguided applications of open that create costly complexity instead of low-cost ease of use.

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Don’t migrate your problems to the cloud

Many look to cloud computing as the way to fix issues with data and systems, but migrating an existing problem may not be in your best interest.

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How companies are moving on from Cobol

The legacy programming language that refuses to die is still powering millions of daily transactions, but the difficulties of maintaining and integrating Cobol mainframes make the case for modernization more compelling every day.

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How a digital integration hub transforms the mainframe

An in-memory digital integration hub enables flexible, real-time information flow between mainframes and external systems, unlocking mainframe data for digital transformation.

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8 databases supporting in-database machine learning

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

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Prisma ORM for Node.js is ready for production

Object-relational mapper for Node.js and TypeScript aims to ease data modeling, schema migrations, and query creation for application developers.

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Edge computing can be a data cache for public clouds

Better performance and reliability plus lower costs and greater security make this architecture worth keeping in the toolbox.

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Oracle Database 21c review: The old RDBMS is new again

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning.

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Google’s Logica language addresses SQL’s flaws

Open source logic programming language compiles to SQL and runs on Google BigQuery, with experimental support for PostgreSQL and SQLite.

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Ahana Cloud for Presto review: Fast SQL queries against data lakes

Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.

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Data lineage: What it is and why it’s important

As your data evolves, you need a way to track the who, what, when, why, and how of those changes. You need a data lineage system.

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7 ways the cloud is changing

Computing without servers? Programming without code? Let’s ponder these and other innovations in the constantly evolving cloud.

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BlazingSQL review: Fast ETL for GPU-based data science

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

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