Find the June 2022 Newsletter for NPS here! Learn about the latest releases, tech previews, analyst report, and featured articles on all things Netezza. #Netezza #DataWarehouse #HybridDataManagement
Q2 2022 Netezza Performance Server Newsletter - June.pdf
One of the most difficult parts of data strategy isn’t developing it, but executing on it. Growth in data sprawl and volume, diverse ecosystems, and varied existing management systems lead to enterprise data going unused. How can a data fabric architecture help you get the right data to...
Wed June 15, 2022 | 09:00 AM - 10:00 AM PT
Regardless of industry, data security compliance is critical. Whether adhering to the various industry-specific and general regulations or responding to the growing customer demand for greater data security around sensitive personal data, organizations are faced with a variety of...
DataStage in Cloud Pak for Data is a data integration offering for designing and running data flows that move and transform data. Create a simple parallel job This videos shows you how to create a simple data transformation job in IBM Cloud Pak for Data. Create a job from a template -...
Watson Machine Learning Accelerator is available as a part of the Watson Studio family of AI tools on Cloud Pak for Data. It is a GPU accelerated deep learning service that allows you to share GPU resources across business units and deliver faster training results. Find more resources at http:...
Watson Knowledge Catalog in IBM Cloud Pak for Data helps you deliver trusted and meaningful data by providing a secure enterprise catalog management platform that is supported by a data governance framework. Overview of Watson Knowledge Catalog This video introduces you to Watson Knowledge...
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Watson Studio provides the data science features in a collaborative environment for data scientists, developers, and domain experts to explore, analyze, and model data. Create a Watson Studio project from a zipped file and from a GitHub repository Watch this video to see how to create a Watson...
Exploring best practices for data in use and data in motion Author: Karen Madera Organizations collect a tremendous amount of data from a variety of sources and any of these data sources could potentially contain sensitive data. Data is often relocated for warehousing, reporting,...