Data Observability / DataOps using AI

Data Observability / DataOps using AI
Modern-day systems are transforming into complex, open-source, cloud-native services running on various environments and being developed/deployed at lightning speed by distributed teams. When working on these systems, identifying a broken link in the chain can be near impossible. Everything fails at one point or another, whether due to code bugs, infrastructure overload, or changes in end-user behavior or market driven factors or errors in data collection. This has led to the rise of DataOps with a focus on changing the organizational speed and trust in delivering data pipelines and the related artifacts by co-creating “decision quality” data with the consumers. This development has led to the idea of observability that includes monitoring, tracking, and triaging incidents to prevent downtime of the systems and around several factors such as freshness, distribution, volume, schema, lineage.
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Spotlight

OTHER ON-DEMAND WEBINARS

How to Operationalize Data Mapping for Engineering

In this webinar, we will discuss the importance of data maps in building a privacy program. We look at the gap between privacy and engineering teams, the problems of scaling privacy programs with a business process approach to data mapping, and how an application-led approach helps you develop dynamic & complete data maps.
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Webinar SAS Academy for Clinical Programming

SAS

You want to launch a career in the pharmaceutical industry? Then become a SAS® Certified Clinical Trials Programmer. This training program from SAS and OCS Life Sciences prepares you to work as a SAS® Certified Clinical Trials Programmer. The combination of coursework and hands-on learning helps you build a foundation of clinical research theory and data manipulation and analysis skills – which can open doors to new opportunities. Check out this On-Demand webinar and discover how SAS can help you accelerate development of life-changing therapies.
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Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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How to successfully automate your Snowflake Data Cloud

Everyone is looking to be more agile as they move to the cloud, but there has never been more data than there is now and data is growing exponentially everyday. Data is also more shared and distributed than ever across an increasingly complex technology landscape.
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