Remove 2023 Remove Cloud Data Remove Data Engineering
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AWS re:Invent 2023 Amazon Redshift Sessions Recap

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Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Hear also from Adidas, GlobalFoundries, and University of California, Irvine.

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5 Alation Customers Sharing Data Successes at Snowflake Summit 2023

Alation

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. He’ll conclude by revealing how the team has achieved a decentralized “data governance 2.0”

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Why Open Table Format Architecture is Essential for Modern Data Systems

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Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data.

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Marketing Questions phData Can Answer with Data

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Utilizing AI and machine learning (ML) models can sound like a daunting task, but it is achievable, especially with the ML engineering experts at phData by your side to guide you in your data journey. Many data engineering consulting companies can answer these questions, and you may have the in-house talent to do it yourself.

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How to Build Effective Data Pipelines in Snowpark

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Organizations must ensure their data pipelines are well designed and implemented to achieve this, especially as their engagement with cloud data platforms such as the Snowflake Data Cloud grows. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

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Retail & CPG Questions phData Can Answer with Data

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Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. Data engineers can prepare the data by removing duplicates, dealing with outliers, standardizing data types and precision between data sets, and joining data sets together.

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Where to Find Snowflake Training Resources

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Whether you’re aiming for Snowflake certification, seeking to enhance your proficiency with the platform, exploring new data implementation strategies, or developing internal training programs, accessing quality training resources is critical for success in Snowflake.