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Data Modernization

Data Modernization

May 10, 2021

by ACS Solutions

Videos

new

Data Virtualization

Data virtualization helps in automatic updation in the background and enhancing the transparency to data consumers. Unified data helps in finding data errors and report creation.
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DataOps Deep Dive

This webcast from our DataOps experts talks about data sources, generating virtualized datasets, visualizing data sets, and integrating DataOps with CI/CD.
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DataOps Framework and Key Components

Although most companies have invested time and resources in data aggregation, transformation, and storage in the past decade, the consumption part – most critical to data-driven success – is often ignored. A linear data cycle – generation to consumption – leads to complexity, wasted resources, and ineffective utilization of data assets.
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Webinar on DataOps

DataOps puts the focus on how you can set your Data environment to deliver high-quality Data Outputs. In this webinar, we discuss how DataOps can transform your Data Strategy.
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Blogs

Whitepapers

Increasing production efficiency with IoT in manufacturing

DataOps

DataOps – Streamlining and automating steps needed for rapid transformation of ‘Data’ into ‘Business Value’….

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Case Studies

Increasing production efficiency with IoT in manufacturing

Data Management

Production rate can now be matched with order rate, thereby enabling faster and more informed decisions for sales, pricing, product, and manufacturing teams.

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Answers to common DataOps Questions from ACS Solutions' experts

What is DataOps?

What are the key components of the ACS DataOps Solution?

What is a virtualized dataset?

How does ACS create a private workspace with a "DataPod"?

How do you know if you're ready for DataOps?

What is Data Pipeline?

Why is CI/CD needed for DataOps? new

Is the virtualized dataset storage database-specific? new

Are these DataOps Solutions Cloud-specific? new

Get in touch with us for feasibility studies, joint workshops, pilots, ideation sessions, or ask a question.













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