Dashboards Metadata Prescriptive Analytics Visualization 
AWS Big Data
MARCH 26, 2024
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. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.
Domino Data Lab
JUNE 2, 2019
Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Being model-driven is like using GPS.”. “If
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Alation
AUGUST 26, 2021
It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. A stewardship dashboard, to track assets most ripe for curation and curation progress.
Andrew White
JANUARY 11, 2021
As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.
Jet Global
MAY 1, 2023
Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.
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