Remove home tag Data Profiling
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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Under Actions , choose Open Jupyter Navigate to Jupyter console, select New , and then choose Console.

Metadata 105
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Federate to Amazon Redshift Query Editor v2 with Microsoft Entra ID

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 105
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Cross-account data collaboration with Amazon DataZone and AWS analytical tools

AWS Big Data

Data sharing has become a crucial aspect of driving innovation, contributing to growth, and fostering collaboration across industries. According to this Gartner study , organizations promoting data sharing outperform their peers on most business value metrics. Data publishers : Users in producer AWS accounts.

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Using Data Analytics to Map eCommerce Customer Journeys

Smart Data Collective

Big data technology is increasingly being used in e-commerce. billion on big data by 2025. There are a number of benefits of using big data in e-commerce. Data Analytics is Important for Understanding Customer Behavior in eCommerce. Profile your buyer persona. The preparation work.

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Excellent Analytics Tip #18: Make Love To Your Direct Traffic

Occam's Razor

If you were really smart you would use campaign tagged vanity url so you can segment them!]. Segment them in your data, the delightful numbers you see in your KPI's will show you why. Most website tag and campaign tracking implementations are poor (to put it charitably). Missing web analytics tag from landing pages.

Analytics 123
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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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How ATPCO enables governed self-service data access to accelerate innovation with Amazon DataZone

AWS Big Data

In today’s data-driven world, companies across industries recognize the immense value of data in making decisions, driving innovation, and building new products to serve their customers. ATPCO’s reach is impressive, with its fare data covering over 89% of global flight schedules.

Data Lake 116