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When it comes to choosing a set of tools from the bunch of tools for handling Big Data, we always got confused because there are many tools that sound similar in terms of working and use cases. Similarly, we have Apache NiFi and Apache Kafka with us, which sounds similar in terms of working and use cases. So let's explore the differences between these two poles apart technologies accurately and effectively! Let’ come together in Joining our strong 3500+ 𝐦𝐞𝐦𝐛𝐞𝐫𝐬 community where we impart our knowledge regularly on Data, ML, AI, and many more technologies: 🤍 𝐒𝐭𝐚𝐲 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐮𝐬! 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: 🤍 𝐓𝐰𝐢𝐭𝐭𝐞𝐫: 🤍 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: 🤍 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: 🤍 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐨𝐮𝐫 𝐲𝐨𝐮𝐭𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐰𝐞𝐛𝐢𝐧𝐚𝐫𝐬: 🤍 We are also an official training delivery partner of Confluent Kafka.. We conduct corporate trainings on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Real Time Streaming using KSQL & KStreams and Confluent Kafka Advanced Optimization. Our instructors are well qualified and vetted by Confluent for delivering such courses. Please feel free to reach out if you have any requirements for Confluent Kafka Training for your team. Happy to assist. Our company site - 🤍 #NiFi #Kafka #NiFivsKafka #NiFiandKafkaDifferences #Hadoop #GCP #DataCouch
Learn about Apache NiFi, the technology that creates dataflows, transfers and processes data! If you want to learn more: 🤍 Get the Introduction to Apache NiFi (Hortonworks DataFlow - HDF 2.0) course at a special price! Don’t forget to subscribe to get more content about Apache Kafka and AWS! I'm Stephane Maarek, a consultant and software developer, and I have a particular interest in everything related to Big Data, Cloud and API. I sat on the 2019 Program Committee organizing the Kafka Summit. I'm also an AWS Certified Solutions Architect, Developer, SysOps Administrator, and DevOps Engineer. My other courses are available here: 🤍 Follow me on social media: LinkedIn - 🤍 Twitter - 🤍 Medium - 🤍
In this chapter we are going to learn How to Read and Write to Kafka with Apache NiFi The entire series in a playlist: 🤍 GitHub Repo 🤍 For Apache NiFi on AWS EC2 Setup go to 🤍 For Apache NiFi local Setup go to 🤍 *If you have Questions or wanna have a chat - Join Me on Discord at:* Apache NiFi Topics Q&A - 🤍 Quick Tips for better learning: 1. Follow along as I explain to make sure you understand everything 2. Ideally, you should be able to replicate what I have done with success, if this is not the case reach-out - i will try to help/. 3. If you want to learn faster than I talk, I’d recommend 1.25x or 1.5x speed :) 4. Check the outline in the comment section below if you want to skip around. 5. Also keep an eye on the description and see if and links are available with reference docs or assets to download. 6. If anything is unclear, please let me know in a comment. 7. Make sure you Subscribe to my Channel and rate the Video with a LIKE nifi training | apache nifi template |apache nifi registry | expression language | apache nifi log setup | nifi expression language | nifi logging | apache nifi installation | apache nifi setup | apache nifi tutorial | apache nifi architecture |apache nifi course | apache nifi demo | apache nifi etl | apache nifi etl tutorial | apache nifi flow | apache nifi guide | apache nifi training | apache nifi commands | apache nifi examples | nifi import template | nifi create template
Learn the differences between Kafka Streams, Spark Streaming, NiFi, Flink and the one to use! If you want to learn more: 🤍 Get the Kafka Streams for Data Processing course at a special price! Don’t forget to subscribe to get more content about Apache Kafka and AWS! I'm Stephane Maarek, a consultant and software developer, and I have a particular interest in everything related to Big Data, Cloud and API. I sat on the 2019 Program Committee organizing the Kafka Summit. I'm also an AWS Certified Solutions Architect, Developer, SysOps Administrator, and DevOps Engineer. My other courses are available here: 🤍 Follow me on social media: LinkedIn - 🤍 Twitter - 🤍 Medium - 🤍
How to create a live dataflow routing real-time log data to and from Kafka using Hortonworks DataFlow/Apache NiFi. Excerpt from Introduction to Hortonworks DataFlow, 1st webinar in the series: How to Harness the Power of Data in Motion. This demo showcases how you can in 15 minutes use Hortonworks DataFlow/Apache NiFi to · Pull log files in real time · Split those log files based on content (error, warning or info) on the fly · Immediately route log file data based on content into different Kafka brokers · Set failure handling of undelivered data · Deliver data into HDFS Find the demo here - 🤍
Ближайшая конференция: SmartData 2022 – 17–18 октября (Online), 29 октября (Offline) Билеты – 🤍 — . В докладе рассказывается о построении отказоустойчивой схемы работы кластера Apache NiFi при использовании Apache Kafka в качестве источника входных данных.
In this video, we’ll put ourselves in the shoes of an electric car company and explore how you can use Apache NiFi to both create and manage a data flow and Apache Kafka to push and pull data from a stream. We’ll go through an example use case on how this mock car company can use the Cloudera Data Platform to collect, enrich, and filter parts data from their five factories as well as how to properly store the data either into an Apache Hive or Apache HBase solution. Link to Related Tutorial: 🤍 Link to Related Meetup: 🤍 Link to Related Blog: 🤍 Cloudera User's Page: 🤍 Cloudera Community: 🤍
In this video we're going to take real world data collected from a car and use various services available to us in CDP - Public Cloud to extract, transform, and load our data into an Operational Database. We'll be using NiFi to handle most of the data manipulation, Kafka as a streaming service to publish and consume our data, HBase as our NoSQL datastore, and Phoenix to give us the ability to write SQL statements against our data. Link to Related Cloudera Tutorial 🤍 Link to Related Cloudera Blog 🤍 Link to Related Meetup Page 🤍 Cloudera Tutorial Links 🤍 Cloudera Community 🤍 Cloudera Users Page 🤍 More information on Cloudera DataFlow (CDF) 🤍 More information on Data Hub 🤍
Real-Time Stock Processing With Apache NiFi, Apache Flink and Apache Kafka Pierre Villard, Timothy Spann A presentation from ApacheCon 🤍Home 2020 🤍 We will ingest a variety of real-time feeds including stocks with NiFi, filter and process and segment it into Kafka topics. Kafka data will be in Apache Avro format with schemas specified in Cloudera Schema Registry. Apache Flink, Kafka Connect and NiFi will do additional event processing along with machine learning and deep learning. We will store real-time feed data in Apache Kudu for real-time analytics and summaries. Apache OpenNLP, Apache MXNet, CoreNLP, NLTK and SpaCy will be used to analyse stock trend data in streams as well as stock prices and futures. As part of the stream processing we will also be classifying images and stock data with Apache MXNet and DJL. We will also produce cleaned and aggregated data to subscribers via Apache Kafka, Apache Flink SQL and Apache NiFi. We will push to applications, message listeners, web clients, Slack channels and to email, To be useful in our enterprise, we will have full authorization, authentication, auditing, data encryption and data lineage via Apache Ranger, Apache Atlas and Apache NiFi. References: 🤍 Pierre Villard is currently a Senior Product Manager at Cloudera in charge of all the products around Apache NiFi and its subprojects like the NiFi Registry, MiNiFi agents, etc.. He has been active in the Apache NiFi project for the last 4.5 years and is a committer and PMC member of the project. Before joining Cloudera, Pierre worked at Google and Hortonworks where he helped customers develop solutions on-premises and in the cloud by using many technologies including Apache NiFi. Tim Spann is a Principal DataFlow Field Engineer at Cloudera, the Big Data Zone leader and blogger at DZone and an experienced data engineer with 15 years of experience. He runs the Future of Data Princeton meetup as well as other events. He has spoken at Philly Open SOurce, ApacheCon in Montreal, Strata NYC, Oracle Code NYC, IoT Fusion in Philly, meetups in Princeton, NYC, Philly, Berlin and Prague, DataWorks Summits in San Jose, Berlin and Sydney.
Apache Airflow is touted as the answer to all your data movement and transformation problems but is it? In this video, I explain what Airflow is, why it is not the answer for most data movement and transformation needs, and provide some better options. Join my Patreon Community and Watch this Video without Ads! 🤍 Slides 🤍 Follow me on Twitter 🤍BryanCafferky Follow Me on LinkedIn 🤍
In this video I'll use the publishKafkaRecord processor to publish data from a Apache Cassandra table into Kafka using Apache Nifi. SUPPORT THE CHANNEL Patron: 🤍 PayPal: 🤍 FIND ME ON THE WEB Twitter: 🤍 GitHub: 🤍 LBRY: 🤍 -~-~~-~~~-~~-~- Please watch: "Use a Grok pattern in the GrokReader with ConvertRecord to Ingest log files | Apache Nifi" 🤍 -~-~~-~~~-~~-~-
This short demo shows the process of upgrading cluster, adding a new broker to a Kafka Cluster and changing standalone Nifi service to a clustered Nifi service using Arenadata Cluster Manager in easy way.
I've been working a lot on the cookbook, because it's so much fun. I gotta tell you what I added. Then we are trying to write the Tweets from Apache Nifi into Kafka. Also talk about Kafka basics. Check out my free 100+ pages data engineering cookbook on GitHub: 🤍 Please SUPPORT WHAT YOU LIKE: - Support on Patreon : 🤍 - Support on Paypal.me: 🤍 (Send a message and I read it on the stream) - YouTube SuperChats while live streaming - As an Amazon Associate I earn from qualifying purchases from Amazon. Just use this link: 🤍 - I get asked a lot about my podcast gear. This is a list of all the equipment I currently use to create this Podcast: Microphone Samson Q2U Microphone: 🤍 Triton Audio Fethead: 🤍 Rhode PSA1 Stand: 🤍 Behringer U-PHORIA UMC204HD Audio Interface: 🤍 Sony MDF-7506 Headphones: 🤍 Logitech C922 Webcam: 🤍 Elgato HD60 S HDMI Interface: 🤍 2x Dell U2415 Monitor: 🤍 Duronic DM35V2X2 Monitor Stand Vertical: 🤍 Wacom Intuos Drawing Tablet: 🤍 Logitech K480 Keyboard: 🤍 Samsung T5 500GB SSD: 🤍 #DataScience #DataEngineering #plumbersofdatascience #BigData #TwitterAPI
Airflow is a favorite tool of many data engineers. But some data engineers dislike it. It can be tricky to scale and hard to manage if set up incorrectly. Let's talk about it. If you enjoyed this video, check out some of my other top videos. Top Courses To Become A Data Engineer In 2022 🤍 What Is The Modern Data Stack - Intro To Data Infrastructure Part 1 🤍 If you would like to learn more about data engineering, then check out Googles GCP certificate 🤍 If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here. 🤍 Or check out my blog 🤍 And if you want to support the channel, then you can become a paid member of my newsletter 🤍 Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio _ Subscribe: 🤍 _ About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data. *I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.
Desenhando e mostrando as vantagens no uso da ferramenta na integração e transformação com suas mais diversas origens de dados. Esse vídeo faz parte do meu treinamento sobre essa ferramenta fantástica no Udemy. Ainda está em construção mas assim que concluídos posto o vídeo aqui.
Tout au long de cet exemple, nous montrerons comment intégrer Apache Nifi avec Kafka en produisant et en consommant des messages vers/depuis un sujet. Ce flux de données reçoit des tweets de Twitter en temps réelle à l’aide d’un processeur « getTweeter », puis se charge dans un topic kafka à travers le processeur « publishKafka » Dans une deuxième étape, nous allons consommer ces données entrées en temps réelle avec apache kafka à travers le processeur « consumeKafka » et les conserver en HDFS avec « putHDFS ». LinkenIn : 🤍 Medium : 🤍 Mediuim
The first part in a series that explores common anti-patterns in Apache NiFi. Part 1 examines a flow that performs splitting and re-joining of data; treating structured/semi-structured data as unstructured text; and blurring the line between FlowFile content and attributes.
this solution consist of collect , store and visualize tweets in real time using : 1/ Kafka & zookeeper : for collecting tweets in Real Time from tweeter using tweeter API and 2/ elasticsearch : for store the tweets 3/ Kibana : for analyze & visualize the tweets based on some KPI 4/ Apache nifi : used as Data Flow tool for send the data from twitter API to kafka and after that from kafka to elasticsearch for the setup of the cluster i used Docker , so each component is installed as docker container you will find the code for the setup of the cluster here : 🤍
Nifi Kafka Spark Streaming Project - +91-7395899448
"Nifi - Using Jolt Transform Json to prepare your Big Data " 🤍 ~ In this video I cover some basic info on what NiFi is and what I use it for. Make sure to watch the next video to start learning how you can use Apache Nifi to integrate with other platforms like Microsoft MSSQL Server, MySQL, Oracle, Netezza, Teradata, Elasticsearch, Mongo, Hadoop, Hive, Spark, Presto, Apache Kafka, Amazon Kinesis, Apache Nifi and many other. Apache Nifi is an excellent tool for the data engineer or for data science. I will be creating more videos and providing apache nifi examples on automation, dataflow, data streaming, etl, apache kafka for anyone that wants a nifi for beginners or just plain nifi training.
Don’t forget to subscribe to get more content about Apache Kafka and Conduktor! Conduktor is an all-in-one friendly interface to work with the Kafka ecosystem, used by more than 40,000 developers in 5,000 companies worldwide! We're a team of Kafka lovers that decided to create a GUI to perform all your Kafka development & operations from one tool! It is native for Windows, Mac & Linux, works on any Apache Kafka cluster, and has dozens of awesome features to simplify your journey to modern #Apache Kafka applications. Download Conduktor and start developing and managing Apache Kafka with confidence here: 🤍 Learn Apache Kafka like never before with Conduktor Kafkademy - 🤍 You can follow #Conduktor on social media & share your awesome stories with us: Twitter - 🤍 LinkedIn - 🤍
In this chapter we are going to learn "How to use Apache NiFi MergeRecord with Examples" If you have Questions or wanna have a chat - Join Me on Discord at: Apache NiFi Topics Q&A - 🤍 Data Engineering Topics Q&A -🤍 Data Engineering Compass Q&A - 🤍 The entire series in a playlist: 🤍 GitHub Repo 🤍 Install Kafka Locally For Apache NiFi on AWS EC2 Setup go to 🤍 For Apache NiFi local Setup go to 🤍 Quick Tips for better learning: 1. Follow along as I explain to make sure you understand everything 2. Ideally, you should be able to replicate what I have done with success, if this is not the case reach-out - i will try to help/. 3. If you want to learn faster than I talk, I’d recommend 1.25x or 1.5x speed :) 4. Check the outline in the comment section below if you want to skip around. 5. Also keep an eye on the description and see if and links are available with reference docs or assets to download. 6. If anything is unclear, please let me know in a comment. 7. Make sure you Subscribe to my Channel and rate the Video with a LIKE nifi training | apache nifi template |apache nifi registry | expression language | apache nifi log setup | nifi expression language | nifi logging | apache nifi installation | apache nifi setup | apache nifi tutorial | apache nifi architecture |apache nifi course | apache nifi demo | apache nifi etl | apache nifi etl tutorial | apache nifi flow | apache nifi guide | apache nifi training | apache nifi commands | apache nifi examples | nifi import template | nifi create template
how to build a real-time analytics dashboard in Tableau using Apache NiFi, Spark streaming, Kafka, Cassandra Go through this blog to get more details: 🤍