Remove end-to-end-data-science-workflows-in-snowflake
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How SumUp made digital analytics more accessible using AWS Glue

AWS Big Data

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. Unless, of course, the rest of their data also resides in the Google Cloud. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data. For more information, please visit sumup.co.uk.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

Especially when dealing with business data, trust in the figures is an essential element of every transaction. Especially when dealing with business data, trust in the figures is an essential element of every transaction. We’re stronger when we work together. For analytics teams, trust is hard to gain and easy to lose.

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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. DataOps.Live — DataOps for Snowflake.

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A Data Prediction for 2025

DataKitchen

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? What will exist at the end of 2025? ’ They are data enabling vs. value delivery.

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Accelerating Projects in Machine Learning with Applied ML Prototypes

Cloudera

Data practitioners are at the top of the list of employees who are now able to put more focus on innovation. . Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). What are AMPs and why do they help?

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason! Let’s dive in.

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DataOps Observability: Taming the Chaos (Part 2)

DataKitchen

Part 2: Introducing Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. DataOps Observability to the Rescue.

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