After installing Apache NiFi there are a few steps you might want to take before making your cluster available for prime time. None of these steps are required so make sure they are appropriate for your use-case before implementing them. Lowering NiFi’s Log File Retention Properties By default, Apache NiFi’s nifi-app.log files are capped at […]
Category: apache-nifi
A Tool for Every Data Engineer’s Toolbox
Collecting data from edge devices in manufacturing, processing medical records from electronic health systems, and analyzing text all sound like very different problems each requiring unique solutions. While that certainly is true there are some commonalities between each of these tasks. Each task requires a scalable method of data ingestion, predictable performance, and capabilities for […]
Monitoring Apache NiFi’s Log with AWS CloudWatch
It’s inevitable that at some point while running Apache NiFi on a single node or as a cluster you will want to see what’s in NiFi’s log and maybe even be alerted when certain logged events are found. Maybe you are debugging your own processor or just looking for more insight into your data flow. […]
Monitoring Apache NiFi with Datadog
One of the most common requirements when using Apache NiFi is a means to adequately monitor the NiFi cluster. Insights into a NiFi cluster’s use of memory, disk space, CPU, and NiFi-level metrics are crucial to operating and optimizing data flows. NiFi’s Reporting Tasks provide the capability to publish metrics to external services. Datadog is […]
Apache NiFi’s MergeContent Processor
The MergeContent processor in Apache NiFi is one of the most useful processors but can also be one of the biggest sources of confusion. The processor (you guessed it!) merges flowfiles together based on a merge strategy. The processor’s purpose is straightforward but its properties can be tricky. In this post we describe how it […]
Dataworks Summit 2019
Recently (in May 2019) I had the honor of attending and speaking at the Dataworks Summit in Washington D.C. The conference had many interesting topics and keynote speakers focused on big-data technologies and business applications. I also always enjoy exploring downtown Washington DC. Whether it is doing the “hike” across the National Mall taking in […]
Apache OpenNLP Language Detection in Apache NiFi
When making an NLP pipeline in Apache NiFi it can be a requirement to route the text through the pipeline based on the language of the text. But how do we get the language of the text inside our pipeline? This blog post introduces a processor for Apache NiFi that utilizes Apache OpenNLP’s language detection […]
NLP Pipeline using Apache NiFi and NLP Building Blocks
This blog post shows how we can create an NLP pipeline to perform named-entity extraction on natural language text using the NLP Building Blocks and Apache NiFi. The NLP Building Blocks provide the ability to perform sentence extraction, string tokenization, and named-entity extraction. They are implemented as microservices and can be deployed almost anywhere, such […]