Remove 2023 Remove Data Analytics Remove Data Architecture Remove Optimization
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AWS re:Invent 2023 Amazon Redshift Sessions Recap

AWS Big Data

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. In this session, learn about Redshift Serverless new AI-driven scaling and optimization functionality.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

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A Summary Of Gartner’s Recent Innovation Insight Into Data Observability

DataKitchen

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. Are problems with data tests? Which report tab is wrong? When did it last run?

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Take advantage of AI and use it to make your business better

IBM Big Data Hub

Artificial intelligence in business is already driving organizational changes in how companies approach data analytics and cybersecurity threat detection. AI starts with data To launch a truly effective AI program for your business, you must have clean quality datasets and an adequate data architecture for storing and accessing it.

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Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). The new instance … was a great feature for us,” Wang says. “It It solved our concern about moving from terabyte scale to petabyte scale.”

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Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create job.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. A data fabric architecture elevates the value of enterprise data by providing the right data, at the right time, regardless of where it resides. Start a trial. AI governance.