Fast Data - Real-time Data Analytics - Netherlands

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What is fast data?

Fast data is real-time data that typically comes in from streaming — such as through Internet of Things (IoT) technologies and event-driven applications — and is analyzed quickly to make rapid business decisions. In a recent study by Forrester, more than 75% of companies surveyed already use fast data solutions. Of those surveyed, 88% indicated they need to perform analytics in near real time on stored streamed data. See a summary of the study’s data in the Forrester infographic, The Future Of Data, Make It Fast (PDF, 453 KB).

IBM provides a database for fast data, with built in real-time analytics, AI and machine-learning tools for concurrent analysis of real-time and historical data. This approach allows businesses to take full advantage of fast data for deeper yet quicker insights.

IBM leading fast data products, IBM Db2® Event Store and IBM Streams, are now built into IBM Cloud Pak™ for Data, a fully integrated data and AI platform built on the Red Hat® OpenShift® Container Platform. Watch the video to learn more (01:55).

Read the full Forrester study

Thumbnail of the Forrester fast data study, Don’t Get Caught Waiting On Fast Data

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In the spotlight

Graphic showing how IBM Common SQL Engine connects to all Db2 products for write-once, query-anywhere capabilities

IBM Common SQL Engine delivers write-once, query-anywhere capabilities and is now supported in the newest release of IBM Db2 Event Store 2.0 along with additional programming languages.

Read the data sheet (284 KB)

Head shot of the man presenting on the fast data webinar

IBM and its guest Forrester Research discuss why real-time analytics with fast data, infused with AI, is essential now — including business objectives and the use of machine learning.

Watch the webinar

Person training a small robot to recognize pictures

AI embedded within and throughout the data management system can accelerate machine learning, improve query speed and accuracy, and empower business analysts and data scientists.

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Features of fast data solutions from IBM

AI, machine learning for IoT

Fast data capabilities from IBM feature high-speed ingestion plus built-in machine learning and data science capabilities to enable smarter responses to events. Machine learning can be applied to both incoming and historical data for real-time, scalable analytics.

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Open source-based technologies

Increase integration across on premises and multicloud environments with fast data solutions that leverage open technologies such as Apache Spark and Spark Streaming, Apache Kafka, Scala, Java™, Python and Jupyter Notebooks as well as open data format with Apache Parquet.

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Fast and reliable

A memory-optimized database can power fast data analysis for real-time analytics. Capture, store and analyze more than 250 billion events per day with three nodes. This high-performance capability scales linearly with additional nodes — and is delivered with high availability that supports real-time access.

Read the brief (267 KB)

IBM Db2 Event Store

Respond faster with real-time analytics coupled with machine learning using this high speed database for IoT and streamed event data.

IBM Db2 Event Store is also included in IBM Cloud Pak for Data along with other foundational services as part of the base edition to help you customize the platform to your unique needs.

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IBM Streams

Available on premises or on IBM Cloud™, IBM Streams helps you analyze continuously available data from all sources to discover opportunities faster. Leverage the connector between IBM Streams and IBM Db2 Event Store for data persistence with super-fast object storage.

IBM Streams is also included in IBM Cloud Pak for Data along with other foundational services as part of the base edition to help you customize the platform to your unique needs.

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Acquire, analyze, and act in real time with IBM Streams

"Thanks to our IBM solution, we should be able to provide timely advice to help people better manage their diabetes — potentially avoiding hospital visits, improving quality of life, and reducing the cost of care …"

— Huzefa Neemuchwala, Head of Data and Informatics Innovation, Diabetes Services and Solutions, Medtronic

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Resources on real-time analytics with fast data

Improve streaming analytics with fast data solutions

Delays in data analysis can be detrimental to business. See a quick view of results from a Forrester study on how fast data solutions that use machine learning on streamed and stored data can help you avoid the cost of data delays.

View the infographic (440 KB)

Why fast data management is essential to your business future

Forrester and IBM representatives discuss the business and technology factors that are inspiring a new generation of event-driven business applications. See why fast data management is essential to quicker, more accurate analysis of real-time data.

Watch the webinar

Engage with an expert

Set up a no-cost, one-on-one call with an experienced IBM advisor, who can help you identify the fast data management solution that meets your needs.

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