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Data Engineering
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Modern Data Engineering with Snowflake

Powerful and efficient pipelines thanks to the ease and performance of Snowflake.

WEBINAR

The Total Economic Impact of Data Engineering: A Fireside Chat with iPipeline

REGISTER NOW

 

 

Snowflake for your data engineering: performance, simplicity, and reliability

Easily ingest, transform, and deliver your data for faster, deeper insights. With Snowflake, data engineers can spend little to no time managing infrastructure, avoiding such tasks as capacity planning and concurrency handling. As a result, focus on high value-add activities towards delivering your data.

Any Data, Any Speed

With the Data Cloud, enable batch and continuous ingestion of structured, semi-structured, and unstructured data to ensure that virtually all data consumers operate on live data, accelerating data to insights.

Improve Pipeline Performance and Reliability

Run pipelines with dedicated, elastic, and right-sized computing resources for optimal performance, reliable data processing, and significant cost savings.

Reduce Pipeline Complexity

Bring extensibility to your pipelines by leveraging SQL and Snowpark to streamline architecture and pipeline development, with no additional clusters, services, or copies of your data to manage.

Discover Data Processing with Snowflake

LEARN MORE

Snowpark

Use Scala, Python (Public Preview), or Java and familiar DataFrame constructs to build powerful and efficient pipelines, ML workflows, and data applications. And gain the performance, ease-of-use, governance, and security while working inside Snowflake’s Data Cloud.

Learn more about snowpark

Resources

ANALYST REPORT

The Total Economic Impact™ of Snowflake for Data Engineering

Read this study to learn how four customers leveraged Snowflake for their data…

White Paper

Processing Modern Data Pipelines

This white paper describes the technical challenges that arise when building modern data pipelines and explains how Snowflake…

Read Now
Dummies Guide

Cloud Data Engineering for Dummies

Find out how you can build a modern data engineering practice to produce fast, reliable, and quality…

Download Guide
Ebook

Best Practices For Optimizing Your dbt And Snowflake Deployment

Learn how combining dbt with Snowflake can allow your data teams to collaborate…

Download Now
Demo Session

Getting Started with Snowpark

Learn how you can get started with Snowflake's new developer experience Snowpark.

Watch Now
eBook

Moving From On-Premises Etl To Cloud-Driven Elt

Learn how Modern ELT systems move transformation workloads to the cloud, enabling much greater scalability…

Download Now

How Snowflake Enables Modern Data Engineering

Simplified Data Transformation and Architecture

Streamline pipeline development and management with Snowflake, with less time spent on managing infrastructure and more time on delivering data.

  ■  Collaborate and bring users together with different coding preferences thanks to Snowflake’s developer framework, Snowpark, and our native support for ANSI SQL.

  ■ Build with Scala, Python (in Public Preview), and Java; expand more functions; and execute faster in Snowflake; with no additional processing systems needed

  ■  Build resilient data pipelines with schema-on-read and without the need to define schema in advance

  ■  Enable your other data workloads with Snowflake – data warehousing, data lakes, data science, secure data sharing, and building and running data applications.

  ■  Manage only one copy of your data to simplify data management and governance, and to improve DevOps and ebs.

  ■  Easily and securely share and consume live, governed data in real time.

Watch Webinar: New Features to Build Extensible Data Pipelines >>

 

Batch and Continuous Data Pipelines for Various Data Formats

Modern data-driven applications can’t wait for data. Snowflake handles both batch and continuous data ingestion of structured, semi-structured, and unstructured data.

  • Access ready-to-query data in the Data Cloud
  • Get native support for semi-structured and unstructured data in a single platform
  • Automated and managed data ingestion in near-real time from cloud blob storage with Snowpipe
  • Simplify change data capture (CDC) with Snowflake’s streams & tasks
  • Simply load data and run with auto schema detection and instant data availability

Watch Webinar: Best Practices Delivering Continuous Data Pipeline >>

Performance at Scale with Tailored Transformation Needs

Traditional solutions require dedicated time windows for executing pipelines. On the flip side, Snowflake is uniquely architectured to provide multi-clustered computing, with resource isolation for each workload.

  • Maintain performance across a near-infinite number of concurrent workloads thanks to Snowflake’s multi-cluster shared data architecture.
  • Process with Snowflake’s elastic data processing engine for data transformation workloads.
  • Only pay for what you use by optimizing pipeline performance and price, with instant resizing of dedicated compute clusters.
  • Scale a near-infinite amount of computing resources, up or down, with just a few clicks.

Watch Webinar with Autodesk >>

“With Snowflake, we are operating over 100 data sets, and 400-500 jobs more than 10,000 times a day, with a 99.5% success rate.”

Mark Stange-Tregear

VP Analytics, Rakuten Rewards

“Snowflake has allowed us to shift our focus from putting out fires and solving problems to design and delivery of new insights.”

Michael Garlick

Director, Software Engineering, Xevo

Extensive Partner Ecosystem

Choose from an extensive ecosystem of data integration partners.

Explore other workloads

Data Lake

Improve data access, performance, and security with a modern data lake strategy.

Learn More

Data Applications

Simplify developing data-intensive applications that scale cost-effectively and consistently deliver fast analytics.

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Secure Data Sharing

Eliminate data silos and instantly and securely share governed data across your organization, and beyond

Learn More

Data Science

Accelerate your workflow with near-unlimited access to data and data processing power.

Learn More

Data Warehouse for Analytics

Enable everyone in your organization with fast access to a single source of data and eliminate the cost, complexity, and latency of your traditional data warehouse.

Learn More

Ways to get started with Data Engineering on Snowflake

Calculate Your Estimated Benefits of Migrating to Snowflake
Join a Virtual Hands-on Lab
Start Your Free Trial
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