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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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9 Best Practices for Transitioning From On-Premises to Cloud

Snowflake

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration.

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Best Practices for Data Ingestion with Snowflake: Part 3 

Snowflake

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

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What is AWS Kinesis (Amazon Kinesis Data Streams)?

Edureka

The accuracy of decisions improves dramatically once you can use live data in real-time. The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. What can I do with Kinesis Data Streams? How Amazon Kinesis Works?

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Comparing Snowflake Data Ingestion Methods with Striim

Striim

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. This mode is particularly useful for audit trails or scenarios where preserving the historical sequence of data changes is important.

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Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

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What is AWS SageMaker?

Edureka

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

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