integration 
Hevo
DECEMBER 27, 2023
Integrating APIs with SQL Server not only streamlines data flow but also enhances the functionality and versatility of SQL Server, providing a dynamic platform for real-time data updates and interactions.
Hevo
APRIL 26, 2024
Making sure your technology stack works for you requires integration on a fundamental level. Everyone in your organization, from content writers who embed tweets into blog articles to data teams who reconcile data warehouses following a merger, can perform their duties more successfully with the help of coordinated data.
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Seattle Data Guy
FEBRUARY 26, 2024
SQL Server Integration Services (SSIS) comes with a lot of functionality useful for extracting, transforming, and loading data. It can also play important roles in application development and other projects. But SSIS is far from the only platform that can provide these services.
Data Engineering Podcast
NOVEMBER 26, 2023
One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components. One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components.
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Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes.
Analytics Vidhya
FEBRUARY 2, 2023
Data analytics solutions can help organizations gain insights into their customers, operations, and […] The post Why Should You Integrate BigQuery with Other GCP Services? The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.
Snowflake
JANUARY 15, 2024
Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.
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You’ll learn: The seven requirements to include in your analytics evaluation How enhancing your analytics can boost user satisfaction and revenue What sophisticated capabilities to consider, including predictive analytics, adaptive security and integrated workflows Download the white paper to learn about the seven questions every application team should (..)
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Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become commonplace.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
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