As enterprises become more agile, centralization appears more and more a thing of the past waterfall world. This need is equally true with data platforms. This paradigm drove us to build a Data Mesh, this next generation of data platforms for PayPal Credit. This talk will detail quickly go over the evolution of data platforms, highlight the problems of current data platforms, and explain why we decided to build a Data Mesh. I will detail the four principles of the Data Mesh, how we got started, and describe some current and future challenges and how we plan to solve them. Part of the Expert Hour series.
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Gartner
Discussion Topics:
- How effective are your current data and analytics initiatives
- What trends will most impact how you utilize data and analytics in 2019 and beyond
- What must you do to maximize data and analytics in your organization
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Businesses succeed when they can extract more contextual, relevant, and predictive insights from ERP data in real time.
ERP analytics can deliver more powerful data-driven insights if deployed in a cloud-based platform. The scalability of cloud-based data repositories—such as data lakes and data warehouses—can allow more users to concurrently query, explore, correlate, analyze, and visualize more ERP data more rapidly than would be possible on many on-premises analytics platforms.
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Kozminski
Are you interested in extracting and analyzing financial data? Do you want to be familiar with the concept of big data? Kozminski University has just launched an extraordinary program in big data analysis for you. The Director of the program has a great pleasure to invite you to participate in a webinar aimed at introducing the program and answering the questions regarding the content of the program.
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