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Set up advanced rules to validate quality of multiple datasets with AWS Glue Data Quality

AWS Big Data

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Big Data Hub

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data: the foundation of your foundation model Data quality matters. When objectionable data is identified, we remove it, retrain the model, and repeat.

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What Is Alation Connected Sheets? Q&A with the Creators

Alation

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams. Subscribe to Alation's Blog.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

You need to determine if you are going with an on-premise or cloud-hosted strategy. You will need to continually return to your business dashboard to make sure that it’s working, the data is accurate and it’s still answering the right questions in the most effective way. Ensure the quality of production.

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Modern Data Architecture for Telecommunications

Cloudera

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . Optimization Data lakehouse is the platform wherein the data assets reside. The post Modern Data Architecture for Telecommunications appeared first on Cloudera Blog.

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Deep Thoughts on Data Flow with Alation & Trifacta

Alation

Data lakes, while useful in helping you to capture all of your data, are only the first step in extracting the value of that data. Additionally, because of the collaborative features found in the Alation Data Catalog, you also gain the ability for data to be easily shared, used and reused.