Implementing Oracle Database-as-a-Service for Cloud-Like Agility

A growing number of organizations are turning to Docker containers to help solve really big application requirements.  Among the biggest out there are those imposed by Oracle and Oracle RAC.  What if you could deploy Oracle or Oracle RAC as a stateless cloud-native workload in your environment?  Transform a complex process into one with an App Store-like experience.
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Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

OTHER ON-DEMAND WEBINARS

Generali real-time data streaming in the Insurance Industry - under 10 seconds from source to target!

Market leaders in every industry are beginning to see the power of real-time big data integration and how connecting it can enable them to re-imagine their markets, customers, products, and business models.
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Analyze Data Faster with an Open Source Columnar Database

MariaDB

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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Setting Up a Data Integration Pipeline for Repeatable Analytics Delivery

GoodData Corporation

As part of its platform, GoodData provides a fault-tolerant, high performance and scalable system for data integration. While built for large-scale analytic applications, it is a metadata-driven, modular system that can start small and grow with your business. In this session, Cameron demonstrates how to set up and schedule regular data extraction from SQL databases and other sources. He also covers some of the issues requiring attention in data extraction such as data merging and incremental loads. A future session will cover transformations and data enrichment along with data distribution.
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Building a Modern Operational Data Warehouse

tdwi.org

With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
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Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

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