Database

Assuring Data Quality at Scale

More and more companies are becoming Data and AI driven – Data is the lifeblood of many systems we build and business decisions that are made today. Customer experience and journey which in turn drive the P&L for businesses rely on data that are captured and fed into our systems. It is highly imperative that …

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Dev and Test Agility for your Database with Docker

Agile practices teach us how to deal with evolving applications but so often the data store is overlooked as a component of your application lifecycle. Database servers are monolothic, resource intensive and mostly viewed as set in stone. Encapsulating your database server in a container and your database in a storage container can dramatically lighten …

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The Hidden Costs of Poor Database Access

Software developers love to try new programming languages, use different frameworks or experiment with new architectures. But when it comes to databases, they pretty much have been using the same database access approach for the past 30 years.

Engineering Data Quality

Garbage in, garbage out – we have all heard about the importance of data quality. Having high quality data is essential for all types of use cases, whether it is reporting, anomaly detection, or for avoiding bias in machine learning applications. But where does high quality data come from? How can one assess data quality, …

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Changing Your Database Mindset From Tables to Documents

Did you grow up with relational SQL databases? Are document-based databases (NoSQL) a bit of a mystery to you? This presentation compares terms and concepts, explains the benefits of document-based databases, and presents the 3 key ways you need to change your mindset to successfully use document-based databases.