Remove integrations destinations iterable
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Using Sync Modes in Grouparoo

Grouparoo

A few weeks ago we wrote about Sync Modes and why they may be useful when it comes to syncing data to a destination. In short, Sync Modes allow you to have more control over what operations are performed and how Grouparoo interacts with contacts that may already exist in the destination system. In Grouparoo v0.3,

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Development workflow for Reverse ETL

Grouparoo

Grouparoo Cloud helps make deployments quick and easy, optimizes Infrastructure for your Grouparoo instance, and provides Github integration for Continuous Deployment and Testing. This includes aspects such as config-as-code checked into git, tests and continuous integration, code reviews, staging environments, and production deployments.

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Making Analytical APIs Fast With Tinybird

Data Engineering Podcast

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. For users of Tinybird, can you talk through the workflow of getting it integrated into their platform and designing an API from their data? Sound exciting? Come join the team!

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Welcome to the Data Renaissance

ThoughtSpot

Over the past year, almost every notable BI vendor has come forth with a plan to integrate generative AI into their tools. Ask Sage is iterative, transparent, and contextual allowing users to uncover the exact insight they’re looking for, no matter the level of granularity. We are entering the Data Renaissance. AI controls.

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Best Practices for Migrating Historical Data to Snowflake

Snowflake

High data volumes in each iteration can also affect data transfer rates. Perform checksum-based validation to verify that files were not corrupted during transfer, and make integrity checks referential to ensure data-level relationships are intact between tables. Validate your migrated data.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

We’ve observed organizations using more and more data sources and destinations , as well as expecting a more diverse range of developers to build data movement flows. This makes it easy for developers to iterate and validate each processing step as well as onboard new data sources that they’re not familiar with.

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5 Data Governance Best Practices

Precisely

Nevertheless, it implies a broader perspective that incorporates: Security and compliance Documentation Data integration Data architecture Data analysis In short, it covers any topic pertaining to the people, processes, and technologies required to manage, protect, and utilize data assets.