Snowflake Blog

  • How to Make Data Protection and High Availability for Analytics Fast and Easy

    How to Make Data Protection and High Availability for Analytics Fast and Easy

    When moving enterprise data warehouse analytic workloads to the cloud, it’s important to consider data protection and high availability (HA) services that will keep your valuable data preserved...

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  • Connecting a Jupyter Notebook to Snowflake via Spark (Part 4)

    Connecting a Jupyter Notebook to Snowflake via Spark (Part 4)

    In the third part of this series, we learned how to connect Sagemaker to Snowflake using the Python connector. In this fourth and final post, we will learn how to connect Sagemaker to Snowflake...

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  • Snowflake Europe: What a Difference a Year Makes

    Snowflake Europe: What a Difference a Year Makes

    Since Snowflake Computing first opened its doors in London a year ago, we’ve seen unprecedented growth. Starting from zero presence in Europe, we have onboarded 130 new customers in 9 countries,...

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  • How to Load terabytes into Snowflake – Speeds, Feeds and Techniques

    How to Load terabytes into Snowflake – Speeds, Feeds and Techniques

    We often get these questions from customers facing an initial data load into Snowflake or, a large-scale daily ingestion: “What’s the fastest way to load terabytes of data?”, and: “What incoming...

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  • Connecting a Jupyter Notebook to Snowflake through Python (Part 3)

    Connecting a Jupyter Notebook to Snowflake through Python (Part 3)

    In part two of this four-part series, we learned how to create a Sagemaker Notebook instance. In part three, we’ll learn how to connect that Sagemaker Notebook instance to Snowflake. If you’ve...

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  • Why You Need a Cloud Data Warehouse

    Why You Need a Cloud Data Warehouse

    Are you new to the concepts of data warehousing? Do you want to know how your enterprise can benefit from using a data warehouse to streamline your business, better serve your customers and create...

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  • How FoundationDB Powers Snowflake Metadata Forward

    How FoundationDB Powers Snowflake Metadata Forward

    FoundationDB is now open source. After years of in-house development, this distributed, scalable and transactional key-value store is available to all. But what you may not know is that Snowflake...

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  • Top 9 Best Practices for Data Warehouse Development

    Top 9 Best Practices for Data Warehouse Development

    When planning for a  modern cloud data warehousing development project, having some form or outline around understanding the business and IT needs and pain points will be key to the ultimate...

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  • Building a Sagemaker Instance from Scratch (Part 2)

    Building a Sagemaker Instance from Scratch (Part 2)

    In part one of this four-part Snowflake/Sagemaker series, I outlined the benefits of machine learning (ML) and why it’s beneficial to store data for ML in Snowflake. Here, in part two, I’ll show...

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  • How Usage-Based Pricing Delivers a Budget-Friendly Cloud Data Warehouse

    How Usage-Based Pricing Delivers a Budget-Friendly Cloud Data Warehouse

    When you have budgets and business plans you need to stick to, you want clear pricing when operating your cloud data warehouse. However, it can be a frustrating task to understand how some cloud...

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  • The Dream Data Warehouse Development Environment

    The Dream Data Warehouse Development Environment

    Earlier this month, Snowflake’s Customer Enablement Team was assigned an email from one of our customers. The customer stated that he was not happy about the idea of cloning full copies of...

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  • Boost Your Analytics with Machine Learning and Advanced Data Preparation

    Boost Your Analytics with Machine Learning and Advanced Data Preparation

    Enterprises can now harness the power of Apache Spark to quickly and easily prepare data and build Machine Learning (ML) models directly against that data in Snowflake. Snowflake and Qubole make...

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  • Accelerate Your Way to a Modern Cloud Analytics Platform

    Accelerate Your Way to a Modern Cloud Analytics Platform

    Many times, I see clients who have no current cloud footprint use the power of analytics to pull the rest of the organization toward the cloud. These new adopters leverage many powerful tools...

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  • Quickstart Guide for Sagemaker + Snowflake: Part One

    Quickstart Guide for Sagemaker + Snowflake: Part One

    Machine Learning (ML) and predictive analytics are quickly becoming irreplaceable tools for small startups and large enterprises. The questions that ML can answer are boundless. For example, you...

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  • How to Easily Load XML with SQL

    How to Easily Load XML with SQL

    With this two-part blog, we review how to load XML data into Snowflake and query with ANSI-standard SQL. Doing so will enable you to have full relational database capabilities for XML, despite it...

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  • Gartner Positions Snowflake as a Challenger in Magic Quadrant

    Gartner Positions Snowflake as a Challenger in Magic Quadrant

    The number of different metrics that enterprise SaaS providers must measure themselves against change and grow by the week. Most of those metrics are generated internally. To balance that mix,...

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  • Snowflake expands EU footprint with Dublin deployment

    Snowflake expands EU footprint with Dublin deployment

    Snowflake continues the global expansion of its built-for-the-cloud data warehouse with its second AWS deployment in Europe. Snowflake’s European customers, and global customers with operations in...

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  • Global Snowflake: Loading Data into Snowflake from Azure Blob Storage

    Global Snowflake: Loading Data into Snowflake from Azure Blob Storage

    Snowflake is available in a number of AWS regions as we continue to expand our geographic presence to meet customer demand, reduce latency and satisfy industry compliance and country-specific...

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  • Disruption as a Stepping Stone

    Disruption as a Stepping Stone

    It’s one thing to disrupt an entire industry with a revolutionary technology or business model. It’s something else to disrupt an industry as a step towards your ultimate goal. That’s what we’re...

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  • Modern Data Sharing: The Opportunities Are Endless

    Modern Data Sharing: The Opportunities Are Endless

    Data sharing between organizations for commercial purposes has been around for over 100 years. But until very recently, enterprises have been forced to rely on traditional data sharing methods...

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