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AI for Data Integration

AI for Data Integration

What is AI for Data Integration?  It’s really about understanding the data, the relationships between the data regardless of structure, and above all else it’s about maintaining the meaning of the analytic row regardless of how complex the data is at the start

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Precog: Uniform Access to Any API

Precog: Uniform Access to Any API

The number of web APIs has grown exponentially over the past decade. Today, nearly every product in every sector exposes a public API, and organizations commonly deploy private APIs to share data internally.

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JSON to Insights: More Details About Precog

Tables in Precog are streaming and virtualised. We can think of this as though the Precog table were a grocery list rather than the groceries themselves. We can use the same list in different stores the same way we can use the same Precog table with different datasets. We can also export tables and import them into different copies of Precog.

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JSON to Insights: Joining Datasets with Precog

JSON to Insights: Joining Datasets with Precog

Precog shows us that in the adverse events dataset, drug characterizations are denoted as numbers. These numbers represent whether or not the drug was suspected as causing the adverse reaction or interacting with a suspected drug.

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Turbocharge Your ThoughtSpot!

Turbocharge Your ThoughtSpot!

Using Precog is as easy as “connect – pick – load – analyze” your data as shown below. No coding, complicated scripts, clunky SSH clients or anything else technical to learn or use.

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AWS GuardDuty Security Dashboard

AWS GuardDuty Security Dashboard

Engineered to transform variable, complex JSON data, Precog draws source data from file output, API URLs, and data repositories such as AWS S3 and Azure Blob Storage.

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Turn any API Into An Analytic Ready Data Source

Turn any API Into An Analytic Ready Data Source

There are over 200,000 API?s on the web today, and more being added all the time. And the vast majority of these API?s provide JSON data via a REST interface. Unless you are a developer you generally can?t do much with this data or get any value from it. API?s are by design built for developers.

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Why Organizations Want To Solve The JSON Problem

Why Organizations Want To Solve The JSON Problem

JSON stands for JavaScript Object Notation, and it?s a way to format data. It was developed in the early 2000s, but it?s only in the last few years that it?s really caught on. JavaScript spec now includes a JSON object, and many developers are incorporating JSON as a sort of subset of the language itself.

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What To Do When You Don’t Have A Data Integration Engineer

What To Do When You Don’t Have A Data Integration Engineer

You’ve probably been hearing about “big data” for a while now ? the term has been around for years, and in the meantime, data has only gotten bigger. A whole industry has sprung up around it, from collection to storage to analytics, and data integration engineers are part of that puzzle. But what if your company doesn’t have one?

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The Final Frontier ? The Missing Link In ETL/ELT

The Final Frontier ? The Missing Link In ETL/ELT

The ETL (extract, transform, load) industry has been around for decades. Its primary purpose is to move data from source locations to data warehouses so analytics and data science teams can access the data in one place and perform analysis across a range of critical data sources.

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Alteryx Macro for Massive Complex Data Sets

Alteryx Macro for Massive Complex Data Sets

Are you trying to work with huge complex data sets in Alteryx Designer? Would you like to? Would you like to increase processing performance of Designer by 100x for many data sets? Would you like to be able to connect to live data sources like API’s or MongoDB?? Then the Precog Macro for Alteryx Designer can help.

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