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Real-time Data with Snowflake
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With Great Power Comes Great Simplicity : Real-time Data with Snowflake

Snowflake’s leadership is dedicated to simplicity. As emphasized in the opening remarks of his recent summit keynote, Snowflake’s new CEO, Sridhar Ramaswamy reiterated the core principles of the platform: “Snowflake is one platform built on top of one engine, that just works.” This focus on simplicity is a cornerstone of Snowflake’s philosophy, making it a powerful tool for businesses. The Beauty of Simplicity Snowflake’s commitment to simplicity is more than just a design choice—it’s a strategic advantage. By offering a unified platform that avoids unnecessary complexity, Snowflake allows businesses to streamline their data operations. This simplicity translates to easier implementation, faster adoption, and fewer headaches for IT teams and data analysts alike. Massive Investments in Real-time Capabilities However, Snowflake hasn’t stopped at simplicity. The company has also made significant investments in real-time data capabilities. Features like Snowpipe for streaming data ingestion and dynamic tables for real-time transformations highlight Snowflake’s dedication to staying at the cutting edge of data technology. The Real-time Data Challenge Despite these advancements, utilizing Snowflake for real-time data in a heterogeneous operational landscape can be complex. Integrating data from diverse sources—ranging from social media and IoT sensors to legacy databases—requires sophisticated tools and expertise. This complexity can

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Luc Berrewaerts 08/07/2024

Data Collection, a First Step in Maximising the Value of Your Data

Pushing the limits of your data doesn’t have to be a difficult task. Still, if left alone, data has little to no value. Read this article and bring your data to life by taking proactive actions towards understanding how to overcome the challenges that data collection can pose. Sometimes simple solutions can solve complex problems.

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Luc Berrewaerts 09/12/2021

The new data engineering

Discover how you can take your data engineering to a whole new dimension with Digazu. Specifically designed to simplify the work of your data engineers, Digazu was built to work at scale and to integrate with your IT landscape for sustainable and scalable data engineering.

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Luc Berrewaerts 03/12/2021

What Happens if You Implement a Business Case Roadmap Without a Platform Strategy

Implementing your business cases comes with a price tag of high expectations and inevitable costs. Read this article and discover how you can drastically control the cost of implementation of your use cases and reduce your projects’ time to market.

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Luc Berrewaerts 01/12/2021

A Glimpse into a Great Data Platform

Discover the building blocks of a modern and scalable data platform. Get insights on how to power your data projects and unlock the value of your data assets.

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Luc Berrewaerts 01/12/2021

What Happens if You Take IT Initiatives Without Onboarding the Business Department

Learn more about the common mistakes of digital transformation programs: taking business initiatives without onboarding the IT department.

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Digazu Team 10/11/2021

What Happens if You Take Business Initiatives Without Onboarding the IT Department

Learn more about the common mistakes of digital transformation programs: taking business initiatives without onboarding the IT department.

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Digazu Team 05/11/2021

What Happens if You Underestimate the Complexity of the Underlying Technology of a Modern Data Platform

Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.

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Digazu Team 27/07/2021

What Are the Challenges of Data Silos and How Can I Manage Them?

A feature-rich data science platform can help you navigate through data silos and bring holistic data management into your organization and leverage the highest possible value out of it.

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Luc Berrewaerts 28/05/2021

The 360° Customer View

Surviving as a mainstream business today means being data-driven. Yet, becoming a data-driven organization does not happen overnight, it takes a lot more than a few resolutions and a well-articulated data strategy.

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Digazu Team 27/05/2021
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  • Solution
    • Stream Integration
    • Low-code
    • Governed
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    • Real-time business intelligence
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    • Practical Data Mesh
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