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Kevin Wei, Product Manager

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1 to 12 of 12 total
Posted By Kevin Wei Feb 3, 2021 4:23 PM
Found In Egroup: DataStage - Data Integration
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Hi everyone, You can watch the on demand recording here and download the slides here . Please include any additional questions below. ------------------------------ Kevin Wei Product Manager ------------------------------
Posted By Kevin Wei Feb 3, 2021 4:01 PM
Found In Library: DataOps On Demand Webinars
SaaS data integration: IBM DataStage as a fully managed service Watch the On-Demand Webinar Today The slides are available to download below and please share any of your questions here. In a recent O' Reilly report, almost 90% of enterprises reported having begun their journey to the cloud as ...
Posted By Kevin Wei Jan 29, 2021 5:45 PM
Found In Egroup: DataStage - Data Integration
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n a recent O' Reilly report, almost 90% of enterprises reported having begun their journey to the cloud as they adopt multi and hybrid-cloud data management strategies due to an increased emphasis on digital transformation. However, this shift translates to increased management and resources by IT operations ...
Posted By Kevin Wei Dec 10, 2020 6:13 PM
Found In Egroup: DataStage - Data Integration
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Hi everyone, You can watch the on demand recording and demo here . Please include any questions below and the slides can be downloaded from here. ------------------------------ Kevin Wei Product Manager ------------------------------
Posted By Kevin Wei Dec 10, 2020 6:06 PM
Found In Library: DataOps On Demand Webinars
Watch the On-Demand Webinar Today The slides can be downloaded below and please share any of your questions here. Webinar Summary Checkpoints are a critical feature within the DataStage flow designer thin client that automatically restarts DataStage® parallel jobs if they fail. Join this ...
Posted By Kevin Wei 12/2/2020 12:24:22 AM
Found In Group: DataStage - Data Integration Blogs
Hey, DataStage developers and administrators! We're excited to announce that the IBM DataStage team has been hard at work to deliver DataStage as a Service, the market-leading data integration product you're familiar with - now on the cloud as a SaaS offering. We invite you to get a sneak peek over ...
Posted By Kevin Wei Nov 24, 2020 4:54 PM
Found In Egroup: DataStage - Data Integration
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Checkpoints are a critical feature within the DataStage flow designer thin client that automatically restarts DataStage® parallel jobs if they fail. Join this tech talk to see a live demo and learn how to configure checkpoints using the for IBM DataStage thin client on IBM Cloud Pak for Data. Also ...
Posted By Kevin Wei Nov 21, 2020 11:35 AM
Found In Egroup: DataStage - Data Integration
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Hi everyone, You can watch out LIVE Ask Me Anything for IBM DataStage and Data Integration on demand recording here . The slides can be downloaded here and please include any additional questions below. Thanks, ------------------------------ Kevin Wei Product Manager ------------------------ ...
Posted By Kevin Wei Nov 21, 2020 11:30 AM
Found In Library: DataOps On Demand Webinars
Watch the On-Demand Webinar Today You can download the slides below and please share any of your questions here . To help organization modernize towards an AI based information architecture, IBM has introduced a revolutionary platform called IBM Cloud Pak® for Data. Cloud native by design, the platform ...
Posted By Kevin Wei Nov 12, 2020 1:37 AM
Found In Egroup: DataStage - Data Integration
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Learn about our beta program for DataStage as a Service and join to participate in the program! ------------------------------ Kevin Wei Product Manager ------------------------------
Posted By Kevin Wei Nov 12, 2020 1:36 AM
Found In Library: DataStage - Data Integration
Posted By Kevin Wei Jul 14, 2020 2:29 PM
Found In Egroup: DataStage - Data Integration
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As needed, DataStage will automatically distribute workloads by spinning up or down compute instances. YouTube demo: Auto Scaling with IBM DataStage - IBM Cloud Pak for Data 3.0 YouTube remove preview Auto Scaling with IBM DataStage - IBM Cloud Pak ...