Lead Business growth and Modernization through Data Governance

Lead Business growth and Modernization through
Organizations across the world are onboarding digital initiatives, especially in the changed world after COVID-19. Learn now you can lead the business growth and modernization with effective Data governance initiatives to drive your digitization efforts. It is uncommon that information in silos due to data spread across different business applications, databases, and repositories across the organization, leading to slower digital initiatives. Learn how effective data governance can help to fast track data quality, master data, policy automation, regulatory and privacy compliance can help reduce costs, time to market, improve customer experience and contribute to business growth.
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Bridge the Cloud Divide with Pure Storage Cloud Data Services

BytesTechnology

Pure Storage have recently launched their Cloud Data Services - a new set of capabilities allowing you to easily embrace a hybrid cloud architecture and ditch the cloud divide. Where once private and public cloud data storage operated in separate worlds, Pure’s Cloud Data Services now bring on-premises functionality to the cloud. Plainly put, all the features, benefits, and advantages of running Pure FlashArray in your datacentre, will soon be available in AWS – with zero compromise.
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Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
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Organizing the Chaos of Data: The Importance of Database Microservices in the Cloud

As companies invested in their digital transformations, one side effect was the proliferation of data environments and varying database instances. With so many systems to navigate, many organizations have fallen prey to operational disruptions and now struggle to achieve the high level of performance and scalability that their transformations promised.
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Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality

With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
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