blog.cloud9charts.com
Data and Analytics Trends for 2017 ~ Blog
http://blog.cloud9charts.com/2016/12/data-and-analytics-trends-for-2017.html
Wednesday, December 28, 2016. Data and Analytics Trends for 2017. Data and Analytics Trends for 2017. No, not in the sense of fleeting fads and fast concepts. What we’re talking about are areas in tech that stood out this year. Polyglot Persistence, Analytics 3.0, AI and machine learning all left a lasting impression. Here’s a closer look at these trends and why they should be on. The rise of Polyglot Persistence. I kid, but seriously, let’s talk about joining. Enter Analytics 3.0. A blast from the past).
blog.cloud9charts.com
May 2016 ~ Blog
http://blog.cloud9charts.com/2016_05_01_archive.html
Tuesday, May 31, 2016. Guest Post: Heat absorption by colors (4th Grade Science Fair). My name is London Gopalakrishnan. I’m a 4. Grader at Montclair Elementary in Oakland and I’m 9 years old. This is my first ever blog post. Hope you like it. I collected my data by getting the materials and putting it under sunlight. Every 10 minutes, I noted the temperatures for an hour. And then, I used software that my dad works on to make sense of it. For water, overall black turned out to be the warmest at 77.5...
blog.cloud9charts.com
Caltech Smart Charging EV Network with IoT Analytics ~ Blog
http://blog.cloud9charts.com/2016/07/caltech-smart-charging-ev-network-with.html
Saturday, July 30, 2016. Caltech Smart Charging EV Network with IoT Analytics. We had the opportunity to work with Caltech recently on analytics for their smart EV charge grid. The following piece is a glimpse into their Smart Charging EV technology that has the potential to transform EV charging networks across parking structures. Caltech has developed an Adaptive Charging Network that allows garages to significantly expand their EV footprint, without expensive electric grid upgrades. Tesla unveiled its...
blog.cloud9charts.com
Guest Post: Heat absorption by colors (4th Grade Science Fair) ~ Blog
http://blog.cloud9charts.com/2016/05/guest-post-heat-absorption-by-colors.html
Tuesday, May 31, 2016. Guest Post: Heat absorption by colors (4th Grade Science Fair). My name is London Gopalakrishnan. I’m a 4. Grader at Montclair Elementary in Oakland and I’m 9 years old. This is my first ever blog post. Hope you like it. I collected my data by getting the materials and putting it under sunlight. Every 10 minutes, I noted the temperatures for an hour. And then, I used software that my dad works on to make sense of it. For water, overall black turned out to be the warmest at 77.5...
blog.cloud9charts.com
Guest Post: NYC Cab Rides using SAP HANA and Ocean9 ~ Blog
http://blog.cloud9charts.com/2016/09/guest-post-nyc-cab-rides-using-sap-hana.html
Monday, September 26, 2016. Guest Post: NYC Cab Rides using SAP HANA and Ocean9. This is a guest blog post from Frank Stienhas, CTO and co-founder of Ocean9. That provides a one-click SAP HANA as-a-service. This post discusses the setup of a HANA cluster for analysis of NYC Yellow Cab Taxi Rides from 2009-2016. Properties: 217 GB RAW CSV data with 1.231 billion rows. A word on data oceans. Standard price points are 2.4 to 3.0 cents / GB / month across the 3 providers. A word on data lakes. There might al...
blog.cloud9charts.com
April 2016 ~ Blog
http://blog.cloud9charts.com/2016_04_01_archive.html
Monday, April 18, 2016. Google BigQuery Integration - Cloud9 Charts. Google's fully managed, petabyte scale, analytics data warehouse is now supported within Cloud9 Charts. Integration enables discovery, query, transformations and visualizations from Google BigQuery. Not only that, you can join across BigQuery database, as well as other NoSQL, SQL and REST based services to build powerful insights across all your data. The landing page is pre-configured with our own demo BigQuery instance. Drag and Drop ...
blog.cloud9charts.com
Drag & Drop Analytics for Multi-Structured Data + Other New Features ~ Blog
http://blog.cloud9charts.com/2016/06/drag-drop-analytics-for-multi.html
Monday, June 13, 2016. Drag and Drop Analytics for Multi-Structured Data Other New Features. Cloud9 Charts Product Updates. Ad hoc Drag and Drop Analytics, JS Embed API, New Integrations, Visualizations, Training Webinars, and all the latest and greatest. Introducing Drag and Drop Analytics for Multi-Structured Data. Analytics across your data has just gotten a lot easier with our new drag and drop analytics, the first of it's kind for multi-structured data. Learn more. We'll be holding several training ...
blog.cloud9charts.com
July 2016 ~ Blog
http://blog.cloud9charts.com/2016_07_01_archive.html
Saturday, July 30, 2016. Caltech Smart Charging EV Network with IoT Analytics. We had the opportunity to work with Caltech recently on analytics for their smart EV charge grid. The following piece is a glimpse into their Smart Charging EV technology that has the potential to transform EV charging networks across parking structures. Caltech has developed an Adaptive Charging Network that allows garages to significantly expand their EV footprint, without expensive electric grid upgrades. Tesla unveiled its...
blog.cloud9charts.com
Product Update - Dataset Lineage and Data Anomaly Alerting and more... ~ Blog
http://blog.cloud9charts.com/2016/12/product-update-dataset-lineage-and-data.html
Wednesday, December 14, 2016. Product Update - Dataset Lineage and Data Anomaly Alerting and more. We are excited to announce a number of new features that we've added over the past quarter. If you would like to check them out using your data, please click here. It is now easy to see the original query, dataset(s) and all associated visualizations. This allows you easily understand how visualizations are built, which datasets are being used and where the data is coming from. MORE POWERFUL QUERY GENERATION.
blog.cloud9charts.com
August 2016 ~ Blog
http://blog.cloud9charts.com/2016_08_01_archive.html
Monday, August 15, 2016. IoT Time Series Data with InfluxDB and Cloud9 Charts. InfluxDB is a Time Series NoSQL database specifically built for use cases centred around IoT/sensor data. This is a brief introduction into InfluxDB as well as analytics on InfluxDB using Cloud9 Charts. Given the volume and velocity of sensor data, NoSQL databases are often the preferred option to storing sensor data. Commonly used datastores include Cassandra, HDFS, Graphite and more recently, Druid and InfluxDB. Stock,symbol...
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