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Outdated business apps can cloud your AI vision

CIO Business Intelligence

Stone called outdated apps a multi-trillion-dollar problem, even after organizations have spent the past decade focused on modernizing their infrastructure to deal with big data. This allows for the extraction and integration of data into AI models without overhauling entire platforms, Erolin says. We are in mid-transition, Stone says.

Insurance 108
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Streaming Edge Data Collection and Global Data Distribution

Cloudera

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 134
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 2018: IoT and edge computing open up new opportunities for organizations. Microsoft starts to offer Azure IoT Central and IoT Edge. Google announces Cloud IoT.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124