The DataOps Blog
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StreamSets Live: Demos with Dash!
45 minutes. Live demos. No (0) slides! Key takeaways: Visually build data pipelines like you code: build, verify, iterate, commit, rinse, repeat! Ingest data from…
Streaming Analysis Using Spark ML in StreamSets DataOps Platform
Learn how to load a serialized Spark ML model stored in MLeap bundle format on Databricks File System (DBFS), and use it for classification on new, streaming data flowing through the StreamSets DataOps Platform. In my previous blogs, I illustrated how easily you can extend the capabilities of StreamSets Transformer using Scala and PySpark. If you have not perused blogs…
StreamSets Live: Demos with Dash — Your Questions Answered
On March 25, 2020 I hosted my first StreamSets Live: Demos with Dash session and I want to thank everyone that took the time to join despite what might have been going on in your lives. Times are definitely not "normal", and more challenging for some than others, but I hope everyone is continuing to stay safe and well. During…
Scenario 1: The Overnight Digital Transformation
Doing Business with Steady Demand and Radical Delivery Disruptions You’re experiencing roughly the same level of demand, but have had to make significant operational changes. From shifting to a remote workforce to implementing a digital transformation strategy overnight, data plays a key role in your ability to navigate these turbulent waters and come out stronger at the end. This is…
Scenario 2: Temporary Hibernation
Maintain Essential Operations When Demand Drops Your business has dropped significantly. You’re still operating but with major downsizing or other changes. First, I’m so sorry that you and your employees are going through such extraordinary difficulties. Here are some things to keep in mind with respect to the role of data in your efforts to keep going. This is the…
Scenario 3: The Overnight Spike
Dramatic Demand Spike Requires Major Operational Changes You’ve seen a spike in demand due to the pandemic. Your organization is stretched to the extreme while making major operational changes, and ensuring the safety of everyone involved-- your employees, your customers and your partners. Here are four things to keep in mind with respect to your data practice as you push…