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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT
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How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration

Teradata

Infrastructure layout Diagram illustrating the data flow between each component of the infrastructure Prerequisites Before you embark on this integration, ensure you have the following set up: Access to a Vantage instance: If you need a test instance of Vantage, you can provision one for free Python 3.10 AIRBYTE_CONNECTION_ID = os.environ.

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Centralize Apache Spark observability on Amazon EMR on EKS with external Spark History Server

AWS Big Data

Overview of solution Consider DataCorp Analytics, a data-driven enterprise running multiple business units with diverse Spark workloads. As their Spark applications grow in number and complexity across these clusters, data and platform engineers struggle to maintain comprehensive visibility while maintaining secure access to monitoring tools.

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The Struggle Between Data Dark Ages and LLM Accuracy

Cloudera

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. That kind of information is going to become very valuable, and people are going to bid and build markets against that. It’s not direct competitors.

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HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

HEMA has a bespoke enterprise architecture, built around the concept of services. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. Tommaso is the Head of Data & Cloud Platforms at HEMA.

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How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture

AWS Big Data

The following diagram describes the logical architecture of the domain data pipeline orchestration framework. The data dependencies and data pipeline state management metadata are hosted in an Aurora PostgreSQL database. Lei Meng is a data architect at Stifel.