In two of my previous blogs I illustrated how easily you can extend StreamSets Transformer using Scala: 1) to train Spark ML RandomForestRegressor model, and 2) to serialize the trained model and save it to Amazon S3. In this blog, you will learn a way to train a Spark ML Logistic Regression model for Natural […]
StreamSets is excited to announce the immediate availability of StreamSets Data Collector 3.12.0 and StreamSets Data Collector Edge 3.12.0. StreamSets Data Collector is open source under Apache License 2.0 and a powerful design and execution engine. It enables moving data between any source and destination, performing transformations, and push down analytics along the way. To […]
In this blog, we will look at a few design patterns for Slowly Changing Dimensions (SCD) Type 2 and see how StreamSets Transformer, the newest addition to the StreamSets DataOps Platform, makes it easy to implement them. While relatively static data like locations and addresses of entities, such as customers, change rarely (if at all) […]
Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse, combines enterprise data warehousing and big data analytics into a single analytics service. StreamSets Cloud‘s new Azure Synapse (SQL Pool) destination, released today, loads data into Azure Synapse’s SQL Pool component.
This is a guest post by Clark Bradley, Solutions Engineer, StreamSets SNMP stands for simple network management protocol and allow for network devices to share information. SNMP is supported across a wide range of hardware such as conventional network equipment (routers, switches and wireless access points) to network endpoints like applications and internet of things […]
StreamSets Transformer, a powerful tool for creating highly instrumented Apache Spark applications for modern ETL, is the newest addition to the StreamSets DataOps Platform. StreamSets enables next-generation ETL through the StreamSets Transformer tool. The product provides enterprises with the flexibility to create ETL pipelines for both batch and streaming data as well as clear visibility […]
StreamSets is excited to announce the immediate availability of StreamSets Data Collector 3.11.0 and StreamSets Data Collector Edge 3.11.0. StreamSets Data Collector is open source under Apache License 2.0 and a powerful design and execution engine. It enables moving data between any source and destination, performing transformations, and push down analytics along the way. To […]
StreamSets Cloud is a cloud service for designing, deploying and operating smart data pipelines, combining ease and scalability with the flexibility to execute pipelines anywhere – on-premise, or in a private or public cloud. It provides an integrated user interface to design, deploy, operate and monitor smart data pipelines managed by StreamSets cloud service. In […]
Today we are opening the StreamSets Cloud Beta program, inviting you to experience and give feedback on the latest addition to the StreamSets product family. StreamSets Cloud is a cloud service for designing, deploying and operating smart data pipelines, combining the ease and scalability of the cloud with the flexibility to execute pipelines anywhere – […]
In part 1, you learned how to extend StreamSets Transformer in order to train Spark ML RandomForestRegressor model. In this part 2, you will learn how to create Spark MLeap bundle to serialize the trained model and save the bundle to Amazon S3. MLeap is a common serialization format and execution engine for machine learning […]
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