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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

Event-driven data transformations – In scenarios where organizations need to process data in near real time, such as for streaming event logs or Internet of Things (IoT) data, you can integrate the adapter into an event-driven architecture.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

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8 data strategy mistakes to avoid

CIO Business Intelligence

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

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How HPE Aruba Supply Chain optimized cost and performance by migrating to an AWS modern data architecture

AWS Big Data

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. This complex process involves suppliers, logistics, quality control, and delivery. The data quality (DQ) checks are managed using DQ configurations stored in Aurora PostgreSQL tables.