Remove 2022 Remove Forecasting Remove Metadata Remove Visualization
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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

We’ve made a big impact with QuickSight because it doesn’t require in-depth knowledge about data visualizations to build dashboards and provide insights, empowering our users to build what they need. In 2022, one of the KPI Monitoring dashboards helped save at least 5,600 hours in total across 230 managers and 2,000 consultants.

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . If created using the Filesystem interface, the intermediate prefixes ( application-1 & application-1/instance-1 ) are created as directories in the Ozone metadata store.

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BMW Cloud Efficiency Analytics powered by Amazon QuickSight and Amazon Athena

AWS Big Data

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history.

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. It’s visual, it’s spoken, it’s audible. Trend 2: Decline of the dashboard.

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Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA

Andrew White

Data mesh versus data fabric I am not the expert here but in lay terms, I believe both fabric and mesh include a semantic inference engine that consumes active metadata. But how can these be forecasted with reliability, especially given the point above? It seems 2022 was a record year for VC funding overall.

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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026. Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data.