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Data mesh and data fabric are modern architectural approaches that aim to solve today’s data management challenges. Data mesh focuses on delivering data products built by the teams that own the data. Data fabric focuses on technologies that obscure the complexities of disparate and distributed data. The proponents of each approach sometimes give the impression that they’re mutually exclusive. However, they are more complementary than competitive, as evidenced by the feature convergence of data mesh and data fabric products.

This 3-hour virtual event is designed to help data leaders evaluate and select data mesh and data fabric tools that deliver and manage discoverable, addressable, and trusted data products. The event compresses the time it takes data leaders to understand an emerging technology, create a short list of products, and hear tips from experts, practitioners, and solutions providers in the field.

Attendees Will Learn:

• Technologies that are powering the rise of data mesh and data fabric

• Why domain ownership and data products are replacing centralized legacy approaches

• How to blend data mesh and data fabric concepts to deliver and manage data products

• The features you should consider when evaluating data mesh and data fabric products

• Tips for success and traps to avoid

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Data catalogs automate the collection, discovery, and curation of information about data assets. They are critical for optimizing data quality, self-service analytics, data operations, data governance, data privacy, and data security. Despite these benefits, many companies have struggled to implement data catalogs and gain a critical mass of users. 

A new generation of data catalog products promise to accelerate adoption while delivering the intelligence that comes from managing metadata in a systematic fashion. Vendors have reinvented their products using AI and active metadata to automate many data-driven activities. And they have doubled down on ease-of-use and fast installs to deliver value quickly. Collectively, these tools increase the business value of data by reducing risk, automating processes, and increasing trust in data throughout the enterprise. 

This topical virtual event is designed to help data and governance leaders evaluate and select next-generation data catalogs and learn best practices for implementing them. The event compresses the time it takes data leaders to understand this new technology, create a short list of products, and hear tips from experts, practitioners, and solutions providers in the field.

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Data products have emerged as a key component in modern analytics strategies, offering tailored, actionable insights and flexibility to cope with ever-changing data complexity and business requirements. But how can organizations adopt a product mindset to drive successful data product development and deployment?

In this webinar, we will explore the best practices for building and scaling data products, from starting small and iterating to establishing robust automated product governance. We will also showcase a live demonstration of Starburst’s data lake analytics platform, on how to accelerate data product development and delivery across your enterprise.

Sponsor: Starburst

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Cloud platforms have revolutionized the world of analytics, but many companies still face challenges in transferring their most valuable and comprehensive data, which is stored in enterprise systems, to these cutting-edge cloud data environments.

Join Kevin Petrie, VP of Research, and Mike Pickett, VP of Product Growth for Streamsets, as they discuss how to conquer typical obstacles to free up your enterprise data and how integrating this data can improve analytics, refine financial and regulatory reporting, streamline operations, and enhance the customer experience.

Sponsor: StreamSets

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As enterprises democratize data consumption and invest in advanced analytics, they need ever-higher volumes of complex, fast-moving data. To meet this demand, data teams need to accelerate the development of data pipelines, automate their execution, and continuously validate the quality of the output. And along the way, they need to master the lifecycle of data, from ingestion and transformation to testing, orchestration, and monitoring. 

This 3-hour virtual event is designed to help data leaders evaluate and select data pipeline products, and learn best practices for implementing them. The event compresses the time it takes data leaders to understand an emerging technology, create a short list of products, and hear tips from experts, practitioners, and solutions providers in the field.

Attendees Will Learn:

• Innovative approaches to building and managing data pipelines 

• Criteria to evaluate and select the right data pipeline tools

• Ways in which modern data pipelines ingest, transform and deliver data

• How these pipelines integrate with enterprise environments

• How to design, manage, and adapt data pipelines to meet dynamic business requirements