Artificial Intelligence and Machine Learning: Interactive Notebooks provide a development workspace for data scientists and business analysts to conduct their analysis work. Apache Kafka (https://kafka.apache.org/ is a distributed streaming platform for publishing and subscribing records as well as storing and processing streams of records. ODH roadmap includes tools for monitoring services as discussed in the section below. BeakerX (http://beakerx.com/) is an extension to Jupyter Notebooks that includes tools for plotting, creating tables and forms and many more. Some of ideas in this article were borrowed from this report. These tools will include the ability for natively monitoring AI services and served models on OpenShift using Prometheus and Grafana. The Data Integration Hub. Learn More. environment consists of user interface clients, data flow engines, Data Integration Hub… He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. This allows for resource management isolation. After all, it takes diverse semantics to create diverse views for multiple business and technical purposes. Here are a few of the other characteristics of a modern data hub. Data scientists can use familiar tools such as Jupyter notebooks for developing complex algorithms and models. Whenever the DataHub receives a change to a data point value, it immediately updates the data … In addition, users can access, analyze, and share data through views that represent data with names and structures that are appropriate to their specialties and technical competencies. A hub cannot be a silo if it integrates data broadly, provides physical and virtual views, represents all data regardless of physical location, and is governed appropriately. An Alert Manager is also available to create alert rules to produce alerts on specific metric conditions. Tools such as Red Hat AMQ Streams, Kafka and Logstash provide robust and scalable data transfer capabilities native to the OpenShift platform. Data Integration Hub Architecture Data Integration Hub. Ready-made dashboards for different data types and sources are also available giving Grafana users a head start. As data's sources, structures, latencies, and business use cases evolve, we need to modernize how we design, deploy, use, and govern data hubs. Seldon (https://www.seldon.io) is an open source framework that makes it easier to deploy AI/ML models on Kubernetes and OpenShift. 2. Instead, it provides views that make data look simpler and more unified than it actually is in today's complex, multiplatform data environments. Centralizes control for data usage, ownership, and sharing. Open Data Hub platform is a centralized self-service solution for analytic and data science distributed workloads. If you’re still accessing data with point-to-point connections to independent silos, converting your infrastructure into a data hub will greatly streamline data … … It also has support for a wide variety of plugins so that users can incorporate community-powered visualisation tools for things such as scatter plots or pie charts. Hue is also a multiuser data analysis platform that allows querying and plotting of data. In general, an AI workflow includes most of the steps shown in Figure 1 and is used by multiple AI engineering personas such as Data Engineers, Data Scientists and DevOps. Currently, we have investigated Hive Metastore as a solution that provides an SQL interface to access the metadata information. For graphing or querying this data, Prometheus provides a web portal with rudimentary options to list and graph the data. Here are … The IT world is full of old-fashioned data hubs that are homegrown or consultant-built. The hub's integrated tooling makes this happen through a massive library of interfaces and deep support for new technologies, data types, and platforms. A modern data hub is not a persistence platform. Rich semantics is the enabler of the broad visibility into the data of the enterprise and possibly beyond. Use a Data Hub Strategy to Meet Your Data and Analytics Governance and Sharing Requirements.