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

AWS Big Data

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.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. In an organization the size of Netflix, teams need to be differentiated. I’m generally averse to overly-specialized job titles – given how our field is based on interdisciplinary work.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement. Data is useless without the opportunity to visualize what we are looking for.

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What Is Data Intelligence?

Alation

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. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

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.

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What Is Embedded Analytics?

Jet Global

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.