It includes the identification of a target, forcing dispatch of the target, decision and order of attacking the target and eventually, demolition of the target.
How can we Protect our Data in Digital World?
Ensuring and retaining safety is becoming tougher due to the thriving technology and speedy acquisition of digital world. Here are some ways for data security.
Replay the Content of the Flow File in NiFi if it Fails
You can replay the NiFi processor with the last content of the flow file. This is helpful when a NiFi processor has failed to pass the flow file.
[Fixed] InferAvroSchema not Found in Latest Version of NiFi 1.10.0 and Above
Infer Avro Schema comes under the kite-nar. We will be downloading the nar file from the maven repository and placing it under the lib folder where your NiFi is installed.
Create a Template in Apache NiFi and Share with Others
In this post, we will create a NiFi flow and share it with other team members. This is helpful if your team is working on another instance of NiFi.
Move Files from One Folder or Directory to Another using Apache NiFi
In this post, we will read the files from one local folder and move it to another using NiFi. This demo is also applicable to copying files from one directory to another.
Installing and Running Apache NiFi on Windows Standalone
Apache NiFiย is aย softwareย project from theย Apache Software Foundationย designed toย automateย the flow ofย dataย betweenย software systems.
How to Get the Username and Password for NiFi?
Once, you have started the NiFi and go the URL where the NiFi is running, you will be asked to provide the Username and the Password. NiFi generates random credentials
[Fixed] Replication factor: larger than available brokers
I received this error when trying to create a Kafka topic. I have given the replication factor 2 which is more than my broker count i.e., 1.
[Fixed] Missing required argument “[partitions]”
This is the error message you get when you try to create the Kafka topic in the command line. Kafka organizes message feeds into categories called topics. Each topic has a name that is unique across the entire Kafka cluster.


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