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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms.

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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. Data ingestion is the process of getting data to Amazon Redshift.

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Data Warehouse Migration: How to Make This Strategic Move

Octopai

Migrating a data fulfillment center (i.e. warehouse). Your data warehouse is not too different from an Amazon fulfillment center. No one wants to disrupt this level of complexity in order to recreate it elsewhere. Your old data warehouse has become deprecated. Ready to take on the job?

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Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises. She is passionate about data analytics and data science.

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How to Future-Proof Your Business Systems with a Data Warehouse

Jet Global

Interestingly, you can address many of them very effectively with a data warehouse. It’s a much more complicated matter to recreate the history, showing which payments were applied to which invoices in which amounts. The Data Warehouse Solution. Pre-Staging Migration Data in the Data Warehouse.

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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. AWS Glue crawler crawls data lake information from Amazon S3, generating a Data Catalog to support dbt on Amazon Athena data modeling.

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What I Learned At Gartner Data & Analytics 2022

Timo Elliott

For the longest time, in order to do any analytics, we had to take the data to the technology — rip it out of the business applications and move it to a data warehouse or a data lake, or a data lakehouse. The problem is that it’s like ripping a tree out of the forest and trying to get it to grow elsewhere.