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Why should an organization undertake such a project?
Comes down to how does it affect the organizations’ perpetuity. Some of the questions a business should be able to answer are:
What other solutions provide the same end user results?
Tools like Domo, or Tableau, or recently something like Periscope (in the SaaS world) can be useful to gain basic insights without having to do ETL if the data is ready. Other open source tools can be used as well such as Kibana, Metabase, and Redash as long as the data is available.
What are the trade-offs between the various solutions?
Ultimately if the data isn’t ready, ETL may be required to get it clean enough for those tools to allow users to visualize/explore it properly.
Rahul Singh, CEO of Anant, had the opportunity to co-organize and MC the May Meetup of Data Wranglers DC where the speakers, John Clune and Timothy Hathaway, covered two topics related to open government and public data for data processing and visualization. We had a great turnout at the event and had the chance to do some networking after.
Our next two meetups will focus on Search & Knowledge Management (June Meetup) and Machine Learning for Data Processing (July Meetup), check out the Meetup page for more details when they become available.
Big thank you to John Clune and Timothy Hathaway for taking the time to present to the group if you have any interest in speaking please don’t hesitate to reach out to Rahul at email@example.com.
Below you can find a recording of both presentations.
I had the pleasure this past Wednesday of introducing Eric Pugh (@dep4b) to the Data Wranglers DC Meetup group. He spoke about using Solr and Zeppelin in data processing and; specifically, the ways big data can easily be processed and displayed as visualizations in Zeppelin. Also broached was Docker, an application Anant uses, and its role in setting up environments for data processing and analysis. Unfortunately, no actual blimps or zeppelins were seen during the talk, but the application of data analysis to events they usually fly over was presented on last month during a discussion about Spark, Kafka, and the English Premier League.
Instead of trying to completely rehash Eric’s presentation, please check out his material for yourself (available below). In short, he showed how multiple open-source tools can be used to process, import, manipulate, visualize, and share your information. More specifically, Spark is a fast data processing engine which you can use to prepare your data for presentation and analysis. Whereas, Zeppelin is a mature, enterprise-ready application; as shown by its recent graduation from Apache’s Incubator Program; and is a great tool to manipulate and visualize processed data.
Please don’t hesitate to reach out with any questions or if you are interested in participating or speaking at a future Data Wranglers DC event. Each event is recorded, livestreamed on the Data Community DC Facebook page and attended by 50 or more individuals interested in data wrangling, data processing, and possible outcomes from these efforts. After the monthly event, many members continue their discussions at a local restaurant or bar.
I hope to see you at an event in the near future!
Here at Anant we are very interested in data wrangling (aka data munging), which basically means, we want to be able to help people take data in one format and convert it to a form that best suits their needs. One way we keep up to date is through the excellent Data Wranglers DC group that meets monthly here in Washington.
At the most recent meeting, the group tackled the challenge of integrating real-time video and data streams. Mark Chapman, who is a Solutions Engineering Manager at Talend, explained how his company utilized Spark and Kafka in their product to analyze real time data in the English Premier League (EPL). In addition to the video inputs at 25 frames per second from cameras throughout the stadium, the stream was correlated to data connected to players’ heart rates and other measurements. The EPL is then able to overlay this information into replays to improve presentation and analysis as well as send data to companies offering in-game wagers.
The presentation was very interesting and Mark graciously shared his slides:
If you are in any way interested in data wrangling – just like it sounds, getting data under control and to work for you – we would love to hear from you and let you know what might be possible with your data streams. If you are in DC and are interested in the technical side of data munging, please come out to the next event and meet us. This past presentation was hosted by ByteCubed (@bytecubed), in Crystal City, but the gatherings have been in Foggy Bottom as well.