What we're about

This meetup is focused on the Future of Data and the open community data projects governed by the Apache Software Foundation. Geared towards developers, data scientists and ALL Data enthusiasts who are building modern data applications. Our meetups cover all data -- data-in-motion and data-at-rest. Meetups provide an opportunity to listen, share and work hands on with other technologists in the open source and open community Apache tools.

Hortonworks Community (https://community.hortonworks.com/users/9304/tspann.html)

Articles (https://dzone.com/users/297029/bunkertor.html?sort=articles)

Blog (http://dataflowdeveloper.com/)


Upcoming events (2)

Introduction to Hadoop Tools
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2 - 45 minute hands-on presentations/demos/walk throughs of using Hadoop Tools (HDFS, Hive, HBase, Pig, Flume, NiFi, Spark, Ambari, ...) This will be a series if the interest is there. Download and install HDP 2.4 Sandbox VM on a sturdy laptop. This will be in Edison, NJ


A local improved version of https://dataworkssummit.com/sydney-2017/sessions/real-time-ingesting-and-transforming-sensor-data-and-social-data-with-nifi-and-tensorflow/ In this talk I will show data engineers and architects how to run real-time TensorFlow Inception Image Recognition on images captured by remote sensors and images in tweets. In the same flow I will also demonstrate how to apply real-time sentiment analysis and intelligent routing of data to Phoenix, Email and Slack. I will elaborate on a number of different sentiment analysis frameworks available for use within Apache NiFi including Python NLTK, Stanford CoreNLP, Python SpaCy and Python TextBlob. This talk will be a deep dive into how to manage complex dataflow pipelines ingesting from multiple streaming sources including social, public open data feeds, logs, drones, RDBMS and IoT with transformations, deep learning, machine learning and business rules. Data engineers will be shown the power of Apache NiFi for loading diverse sources of data, applying transformations in-stream, routing based on attributes, adding sentiment data to workflows, running deep learning algorithms in stream and storing data into Apache Phoenix on HBase. In this talk, I will walk through each step in the process from ingest of each source, applying filters, performing transformations, converting types, picking and converting fields and finally storing data to Apache Phoenix on HBase. A quick data analysis to show streaming updates to data will be done in Apache Zeppelin running on HDP 2.x. This talk will be based on several HCC articles I have written: References: https://community.hortonworks.com/articles/76935/using-sentiment-analysis-and-nlp-tools-with-hdp-25.html https://community.hortonworks.com/articles/52415/processing-social-media-feeds-in-stream-with-apach.htmlhttps://community.hortonworks.com/content/kbentry/77988/ingest-remote-camera-images-from-raspberry-pi-via.html https://community.hortonworks.com/articles/58265/analyzing-images-in-hdf-20-using-tensorflow.html https://community.hortonworks.com/articles/59349/hdf-20-flow-for-ingesting-real-time-tweets-from-st.html https://community.hortonworks.com/articles/64122/incrementally-streaming-rdbms-data-to-your-hadoop.html https://community.hortonworks.com/articles/72420/ingesting-remote-sensor-feeds-into-apache-phoenix.html https://community.hortonworks.com/content/kbentry/55839/reading-sensor-data-from-remote-sensors-on-raspber.html https://community.hortonworks.com/content/kbentry/67309/routing-logs-through-apache-nifi-to-phoenix-hdfs-a.html

Past events (24)

Collaborative Data Science at Scale


Photos (148)