data lakes

Migrating to a data lake: A practical blueprint

Migrating to a data lake: A practical blueprint

You will need the following architectural decisions and migration process to make a data lake the center of your architecture.

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Data lakes vs. data warehouses: A cost comparison by GigaOm

Data lakes vs. data warehouses: A cost comparison by GigaOm

Adopting a data lake in combination with the Fivetran Managed Data Lake Service reduces data ingest compute costs by 77% to 95% over traditional data warehouses.

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Unlock interoperability with Fivetran Managed Data Lake Service for Google’s Cloud Storage

Unlock interoperability with Fivetran Managed Data Lake Service for Google’s Cloud Storage

Load standardized, compliant data in open table formats from 700+ sources directly into Google’s Cloud Storage to reduce compute costs and increase efficiency.

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How Fivetran simplifies open table format adoption for modern data lakes

How Fivetran simplifies open table format adoption for modern data lakes

Open table formats offer enterprises the capabilities of data warehouses and the flexibility of data lakes.

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A modern data lake with Fivetran Managed Data Lake Service and Databricks Unity Catalog

A modern data lake with Fivetran Managed Data Lake Service and Databricks Unity Catalog

Fivetran’s native integration with Unity Catalog streamlines governance and compliance for data lakes.

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Why data lakes are the keystone of AI workloads

Why data lakes are the keystone of AI workloads

How data lakes provide the flexible, scalable solution companies need to unlock their data’s potential to power AI workloads.

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8 data and AI predictions for 2025

8 data and AI predictions for 2025

Discover expert insights to guide your data and AI strategies for 2025 and beyond.

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Generative AI: A 2-year retrospective and what's next

Generative AI: A 2-year retrospective and what's next

How the world of generative AI has changed and what new innovations and capabilities mean for you.

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Why you need both technical and business data catalogs

Why you need both technical and business data catalogs

How technical and business data catalogs work together to make data legible and actionable for everyone.

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Fivetran brings automated data integration to Amazon SageMaker Lakehouse

Fivetran brings automated data integration to Amazon SageMaker Lakehouse

How automated data integration, open table formats and governance make Fivetran the premier choice for moving data into Amazon SageMaker Lakehouse.

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Why enterprises choose Fivetran for Microsoft Azure data integration

Why enterprises choose Fivetran for Microsoft Azure data integration

For organizations looking to accelerate their Azure adoption while maintaining control, security and reliability, Fivetran provides a best-in-class solution that consistently outperforms ADF.

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Lyra Health leads mental health innovation with data lakes & AI

Lyra Health leads mental health innovation with data lakes & AI

Fivetran’s Managed Data Lake Service empowers Lyra Health to scale AI-driven mental health support while ensuring data privacy and compliance.

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Why enterprises are adopting Fivetran's Managed Data Lake Service

Why enterprises are adopting Fivetran's Managed Data Lake Service

Fivetran Managed Data Lake Service brings automation, governance and reliability to data lakes.

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Data ingestion costs: Where is your compute spend going?

Data ingestion costs: Where is your compute spend going?

Learn how you could save up to 30% on your data management costs with Fivetran.

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How do people use Snowflake and Redshift?

How do people use Snowflake and Redshift?

Ingestion and transformation are the primary workloads of real data warehouses.

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AI readiness requires a unified data architecture

AI readiness requires a unified data architecture

Data lakes offer a unified data platform that can support analytics of all kinds.

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3 questions to ask about your data lake management solution

3 questions to ask about your data lake management solution

How the Fivetran Managed Data Lake Service stands out in a crowded market.

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Optimize your data pipelines with Apache Iceberg

Optimize your data pipelines with Apache Iceberg

How to leverage Fivetran and Starburst to supercharge your data lakehouse with end-to-end data pipelines.

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Was ist ein Data Lakehouse?

Was ist ein Data Lakehouse?

Data Lakehouses sind eine vielversprechende Technologie, die die Funktionen von Data Warehouses für Data Lakes ermöglicht.

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What is a data lake?

What is a data lake?

Data lakes serve as affordable, scalable repositories for all forms of data and play a central role in analytics.

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Fivetran at Databricks Data + AI Summit 2024: Key takeaways

Fivetran at Databricks Data + AI Summit 2024: Key takeaways

A longtime top innovation partner to Databricks, we continue to demonstrate the power of better analytics through automation

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Vorstellung des Fivetran Managed Data Lake Service

Vorstellung des Fivetran Managed Data Lake Service

Das neue Angebot von Fivetran vereinfacht die Wartung von Data-Lake-Tabellen und liefert optimierte, abfragebereite Daten mit stetiger Synchronisierung.

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Navigating data lake challenges: Governance, security and automation

Navigating data lake challenges: Governance, security and automation

Data lakes can save your enterprise money but come with unique challenges. These tips will help you overcome three of the biggest issues.

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Fivetran in Zahlen: Ein Jahr der Innovationen

Fivetran in Zahlen: Ein Jahr der Innovationen

Von neuen Datenquellen bis hin zu Cloud-Regionen und -Destinations – Fivetran baut seine Bedeutung als führender Anbieter für Data Movement kontinuierlich aus.

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Building a chatbot with Fivetran and LangChain

Building a chatbot with Fivetran and LangChain

Build your own generative AI chatbot! This post is a continuation of our earlier blog post, “Assembling a RAG architecture using Fivetran.”

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10 bold predictions for AI in 2024

10 bold predictions for AI in 2024

From personal AI to the data that’ll train it, browse our bets on how AI develops in 2024 and beyond.

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