Remove Data Warehouse Remove Reporting Remove Uncertainty
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Two Birds, One Stone: How to Get Better AX Reporting and Prepare for Future D365 Migration Today

Jet Global

Although Microsoft’s rollout of its two ERP cloud products (D365 F&SCM, and for smaller businesses, D365 Business Central) has been going on for some time, the current climate of economic uncertainty has prompted a lot of companies to hit the pause button on migration, choosing instead to stay the course with their existing Dynamics AX systems.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. Data-driven DSS. DSS software system. The number and types of models depend on the purpose of the DSS.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169
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CIOs are (still) closer than ever to their dream data lakehouse

CIO Business Intelligence

Some speculate that Databricks wanted to slow the cruising Iceberg ecosystem with a dose of uncertainty. Others wonder whether the company plans to pile Delta Lake projects on the Tabular crew, which continues to play an integral role in steering and developing Iceberg. And in theory, at least, it all happens without vendor lock-in.

Metadata 117
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g., stream, time-series—starting to displace the batch-centric, data-at-rest paradigm. Increasingly, the term “data engineering” is synonymous with the practice of creating data pipelines, usually by hand.

IoT 22
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Cloudera + Hortonworks, from the Edge to AI

Cloudera

The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. We have each innovated separately in those areas.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.