A Cost Comparison of a Cloudera Hadoop Cluster with StreamSets Ingestion Framework on Oracle Cloud Infrastructure

A Cost Comparison of a Cloudera Hadoop Cluster with StreamSets Ingestion Framework on Oracle Cloud Infrastructure

Introduction It should come as no surprise that a Hadoop cluster and the public cloud go together like peanut butter and jelly because of scale, agility, and economy. It should come as even less of a surprise that a software provider like Oracle is now providing an enterprise-grade cloud via its bare metal compute offering […]

Ingestion for a Cyber Security Data Lake with Oracle and StreamSets

If you were lucky enough to get the gift of replacing your existing security event and incident system (SEIM) this year, then there is a chance your organization has considered building a cybersecurity data lake. Maybe the current solution is too expensive or doesn’t support complex data or distributed algorithms. Maybe it lacks capabilities in […]

Join Us at the First Annual DataOps Summit

StreamSets is proud to be hosting the first annual DataOps Summit in San Francisco, California at the Hilton San Francisco Financial District on September 3rd-5th. The summit will feature a full day of data operations training and two days of comprehensive content featuring major brands, high-scale use cases, ecosystem partners, and community heroes. Keynote discussions […]

Solving Data Quality in Streaming Data Flows

Vinu Kumar is Chief Technologist at HorizonX, based in Sydney, Australia. Vinu helps businesses in unifying data, focusing on a centralized data architecture. In this guest post, reposted from the original here, he explains how to automate data quality using open source tools such as StreamSets Data Collector, Apache Griffin and Apache Kafka. “Data is the new oil. […]

Scaling Data Collectors on Azure Kubernetes Service

In this blog post, I will present a step-by-step guide on how to scale Data Collector instances on Azure Kubernetes Service (AKS) using provisioning agents—which help automate upgrading and scaling resources on-demand, without having to stop execution of pipeline jobs. AKS removes the complexity of implementing, installing, and maintaining Kubernetes in Azure and you only […]

Execute Machine Learning Jobs in Microsoft Azure Databricks from StreamSets

In my previous blog post, I demonstrated how to achieve low-latency inference using Databricks ML models in StreamSets. Now let’s say you have a dataflow pipeline that is ingesting data, enriching it, performing transformations, and based on certain condition(s), you’d like to (re)train the Databricks ML model. For instance, using different value for hyperparameter n_estimators […]

Ingesting Data from Relational Databases to Cassandra with StreamSets

This post is summarized content from a full tutorial at https://academy.datastax.com/content/ingesting-data-relational-databases-cassandra-streamsets                 How do you ingest from an existing relational database (RDBMS) to an Apache Cassandra or DataStax Enterprise cluster? What about a one-time batch loading of historical data vs. streaming changes? I know what some of you are […]

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