June 1, 2019 Syncsort DMX-h & IBM SPSS Modeler Two other popular data processing platform in the IT world are explored, i.e., DMX-h and SPSS Modeler. 1) DMX-h I was an extensive user… Share this:TweetWhatsAppPrintEmail
June 1, 2019 My first experiment with Zigbee Instead of buying an expensive and proprietary Zigbee gateway, I bought a Zigbee sniffer that could be “changed” to be a universal gateway (https://lnkd.in/dj9HwBF)…. Share this:TweetWhatsAppPrintEmail
June 1, 2019 Zwave+ vs. WiFi-based IoT devices There are at least 4 competing IoT connectivity technologies that have already numerous rolled-out products in the market, i.e., RF-433 MHz, WiFi (ESP8266-based devices),… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Data science & ML (commercial) tools: their competitive landscape In the last post, I mentioned the Gartner’s magic quadrant as well as the competitive landscape of BI products. KDnuggets covers the data science… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Competition landscape of business intelligence products Gartner’s magic quadrant is a well-known benchmark to check current competitive standing of a certain IT product. The report is released every year. Gartner… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Precision agriculture for a rural area with limited connectivity Among many hyped agriculture technologies under industry 4.0 umbrella I’ve ever seen, this Microsoft solution, namely FarmBeats, appropriately addresses Indonesia’s geographical challenges. As a… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Polyglot data science applications There is no such a “Swiss Army knife” tool; every tool has its advantages in a certain circumstance, e.g., we know R has the… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Why we need a big data platform such as Hadoop & Spark? On the last post, I mentioned that aggregating & sorting 100 million rows dataset (~ 2.4 GB) using monolithic approach takes 4 seconds to… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Be cautious to include legacy resources as part of the big data system Very often, many organizations insist to involve legacy resources (e.g., applications, data storage) into the big data system. On one hand, it could accelerate… Share this:TweetWhatsAppPrintEmail