A Review of the Top Game Changing Data Trends for 2018

infogix

During this interview-style webcast Infogix’s Emily Washington, SVP of Product Management looked ahead in 2018 and predicted what trends will come to fruition, what new concepts will graze the horizon, and what may fail to launch.
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Spotlight

PwC’s Advanced Finance Analytics helps our clients discover, accelerate and deliver their core finance enterprise cloud capabilities.

OTHER ON-DEMAND WEBINARS

6 Steps for a Successful Data Migration

Did you know that most migrations fail in some way, either missing project deadlines, overshooting budgets, or running into complications in the new environment? A lack of visibility into data can seriously jeopardize—and sometimes even ruin—a migration project.
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How to Use data.world to Solve for Common Data Engineering Use Cases

When evaluating a data catalog, every data engineer wants to know one thing: “What’s in it for me?” In this live demo, Mo Dodge answers that question and highlights several high-value use cases data.world solves for:
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Analyze Data Faster with an Open Source Columnar Database

MariaDB

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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Delivering Real-Time Business Insights from ERP Data in the Cloud

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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