For organizations ready to modernize away from traditional relational databases, the proliferation of modern purpose-built data solutions means there’s a combination of database technologies out there ready to meet your exact data requirements. That said, choosing your data transition strategy requires that you do your homework. Modernized organizations utilize polyglot architecture, applying the best-suited database technology to each of the organization’s particular use cases. To successfully implement such an architecture, you need a thorough knowledge of the expansive NoSQL technologies now available.

What You Will Learn:

Attendees of this webinar will come away with a solid understanding of the decision-making process that should go into vetting NoSQL technologies and planning out their data modernization initiatives. Specifically, attendees will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more. Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they’ll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source”, but are driven by a business model that hinges on achieving proprietary lock-in. Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.

Who Should Attend:

• CTO / Business leaders
• VP of Data or Infrastructure
• Director of Data Platforms
• Data Engineers

Presenter: