Systems | Development | Analytics | API | Testing

Reach New Speeds and Unlock Unstructured Data Value

Jul 14, 2020 By Hitachi Vantara In Hitachi Vantara
Unstructured data is the biggest untapped source of value in your organization, and we can help unlock that value. Since 80% of data is unstructured and growing at an exponential rate, just having BIG data isn’t good enough. You need big data FAST in order to make more accurate and timely decisions. Hitachi Vantara can deliver your data at the speed of business with faster data access to maximize your infrastructure advantage for accuracy, productivity, competitive edge and better outcomes.
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How to work with attachments

Jul 14, 2020 By elastic.io In elastic.io
If you need to work with an attachment – create or send one – there are several connectors that support that. Don’t be confused by what you see now, Simple Trigger is not one of them, but I’m using it here to send some information along the flow. Now what I’m really looking for is the CSV connector, and here I’m using it to create – or, in fact, write a CSV file as an attachment.
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How To Get Your DataOps Initiative Prioritized And Paid For

Jul 13, 2020 By Hitachi Vantara In Hitachi Vantara
You see the clear and immediate value in DataOps, but your opinion is not the only one that matters. You need  your team, your colleagues and your business partners to see that value too – or the project  won’t move ahead. In this  session, you'll learn the tips and techniques for building an inclusive story.  We'll discuss techniques of Design Thinking you can use to translate very technical concepts into business value and outcomes. You will  learn  practical ways to communicate the value in your DataOps initiative and ensure that it delivers that value when you  Implement it.
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A Dose Of Data Science Demystification

Jul 10, 2020 By Hitachi Vantara In Hitachi Vantara
Join two data engineers and analysts in pulling back the curtain on real customer engagements, showing how to select and implement advanced data science and analytic techniques. In this session we will discuss our implementation of two data science models at a large agricultural products manufacturer: a propensity-to-buy model and a recommendation engine. We will discuss how each of these models works and how they were implemented for our client.
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Make Your Data Fabrics Work Better

Jul 10, 2020 By Hitachi Vantara In Hitachi Vantara
To gain the full benefits of the DataOps strategy, your data lakes must change. The traditional concept of bringing all data to one place, whether on-premises or in the cloud, raises questions of timing, scale, organization and budget. The answer? Data fabric. It replaces traditional data lake organization concepts with a more flexible and economical architecture. In this session, we'll define what a data fabric is, show you how you can begin organizing around the concept, and discuss how to align it to your business objectives.
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How to add business logic with content-based router

Jul 9, 2020 By elastic.io In elastic.io
To explain the usage of our content-based router that enables you to add some business logic to your integration flow, let’s imagine that I have received a Google Spreadsheet file with unsorted leads data, for example, from downloading a coupon on a website. To convert these leads to customers, I’d like to offer them something of interest with a specifically targeted campaign based on the country of residence. For that, I need to filter and split the list.
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An Overview of Appian's Intelligent Document Processing Capabilities

Jul 8, 2020 By Appian In Appian
Most companies deal with thousands of documents and forms manually. In this video, find out how Appian's Intelligent Document Processing (IDP) capabilities enable you to process large volumes of documents fast. Only Appian's IDP brings together the best of people, process, and AI.
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