Top Trends in Modern Data Architecture for 2019

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
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Spotlight

OTHER ON-DEMAND WEBINARS

Transforming the Database: Critical Innovations for Performance at Scale

Your team is serious about ensuring database performance at scale. But legacy NoSQL technology could be eroding the impact of your achievements. Following best practices for efficient data modeling, query optimization and observability is fundamental. But their power can be limited – or enhanced – by specific database capabilities. Often-overlooked database innovations can serve as a force multiplier, paving a much smoother path to speed at scale (e.g., millions of read/write operations and millisecond P99 response).
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Data Modeling: Learn How to Convert Schema on Read Into Schema on Write

snowflake

See what a JSON document looks like, understand how to read it, and learn how to convert it to a standard relational data model.
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Redis Ingenuity Webinar Beyond Caching: AI-Powered Search with Redis

Search capability is ingrained into our daily life. How many arguments these days are settled with the conclusion, “Just Google it”??! We all expect some type of search functionality in every application and website. Meanwhile, advances in computer vision, natural language processing, large language models, and generative AI have made it possible to extract semantic properties from unstructured data in the form of vector embeddings. It can be daunting to query this kind of data, which combines K-Nearest Neighbors algorithms and lexical search, unless you have the right tool for the job. When you fail, performance suffers. Web users typically expect search results under one second.
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Why IBM for Sales Performance Management?

FinTech

Improve sales performance and operational efficiencies with better management of incentive compensation plans and smarter administration of sales territories and quotas. Get faster insights with advanced analytics.
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