Remove product connectors
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New Connectors, Productivity Improvements

Ascend.io

New Data, New Connectors Our engineers have implemented a major upgrade to our connector framework that allows us to add new connectors in just a few days at no cost to you. Let our customer support team know which connectors you need for your next data pipeline project!

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Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. While the Python API connector remains available for specific SQL use cases, the new API is designed to be your go-to solution.

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Snowflake Connector for ServiceNow Available in Public Preview

Snowflake

Today, we’re excited to announce that a native Snowflake Connector for ServiceNow is available in public preview. The connector provides instant access to up-to-date ServiceNow data without the need to manually integrate against API endpoints. You can also reload an entire table from scratch if you wish.

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Data News — Week 23.04

Christophe Blefari

Awesome raw ideas with sharks circling around waiting for a new productivity highness. Finally Noah shared how he improved data quality by removing 80% of the tests and Ronald proposed a framework to create data products in Airflow. Starting today the connectors that are in alpha and beta will be free to use in Airbyte Cloud.

Data 130
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

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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Build Data Products Without A Data Team Using AgileData

Data Engineering Podcast

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

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Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

In this episode he shares his journey from building a consumer product to launching a data pipeline service and how his frustrations as a product owner have informed his work at Hevo Data. All thanks to 50+ quality checks, extensive column-level lineage, and 20+ connectors across the Data Stack.