How data technologies circumvent ugly tradeoffs and satisfy competing priorities.

The final iteration of our series on ASCII files; how to combine dbt and Fivetran to integrate ASCII files.

In today's "Big Data" world, data integration is a critical business process. With the exponential growth of information seen in enterprises all over the globe and increasingly competitive marketplaces, there is a real need to consolidate and analyze business data. Big Data is made up of large amounts of information from many sources: customer interactions, Internet of Things (IoT) devices, mobile apps, SaaS cloud services, and more.

A few weeks ago, I wrote a post summarizing "Seven Data Integration and Quality Scenarios for Qlik | Talend," but ever since, folks have asked if I could explain a little deeper. I'm always happy to oblige my reader (you know who you are), so let's start with the first scenario: Database-to-database synchronization.

An overview of common low-hanging fruits to help you get started with machine learning.

Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.

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Salesforce has become an indispensable tool for managing customer relationships in various organizations. But did you know that by syncing Salesforce data with other platforms and feeding data into Salesforce, your organization can develop a more complete view of your customers? This is where the concept of Salesforce data integration comes into play, enabling your team to act on valuable insights swiftly.