Tag: DATE

Feed: SAS Blogs. Author: Robert Allison. In these modern times, my utility bill has a bar chart so I can see how my current consumption compares to my historical usage. I decided to create my own version of this utility bill bar chart, and make a few improvements along the way. If you're into SGplot bar charts, you might learn a thing or two from this example! But first, you need to guess what kind of utility data I'll be plotting. Is it water, sewer, power, or gas?!? Here's a hint, in the form of a picture my friend Annie ... Read More

Feed: erwin Expert Blog – erwin, Inc.. Author: Zak Cole. Digital transformation examples can be found almost anywhere, in almost any industry. Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice.Amazon began as a disruptor to brick-and-mortar bookstores, eventually becoming one of the most obvious digital transformation examples as it went on to revolutionize online shopping. Netflix’s origins were similar – annihilating its former rival Blockbuster and the entire DVD rental market to become a dominant streaming platform and media publisher. Disruption is the common theme. Netflix ... Read More

Feed: Planet MySQL; Author: Continuent; Overview The Skinny In this blog post we will discuss how to use the Tungsten Connector keep-alive feature to ensure long-running MySQL & MariaDB/Percona Server client sessions stay connected in a Tungsten Cluster. Agenda What’s Here? Briefly explore how the Tungsten Connector works Describe the Connector keep-alives – what are they and why do we use them? Discuss why the keep-alive feature is not available in Bridge mode and why Examine how to tune the keep-alive feature in the Tungsten Connector Tungsten Connector: A Primer A Very Brief Summary The Tungsten Connector is an intelligent ... Read More

Feed: Logicworks. Author: Lindsay Syhakhom; by Jenelle Kemp, Technical Product Manager, Logicworks Everyone wants to keep their information safe. How can you make certain that the files you or your company have uploaded to the cloud are protected? The need for encryption has become foundational as companies move from private data centers to the cloud. It is a requirement for most compliance standards and may provide legal cover if there is a breach in security. However, many organizations run into trouble when their cloud storage contains a confusing mix of unencrypted and encrypted files – and no idea how they ... Read More

Feed: Cloudwards. Author: James Konik; There are many tools out there to help you get organized. Project management software offers features of all kinds to assist you in planning your work. We’re focusing on a particular way of organizing tasks in this tutorial on how to use a Gantt chart. We’ll explain what a Gantt chart can do for you, then look at how things work on a couple of platforms. First, we’ll look at a simple example in Monday.com, which you can read about in our Monday.com review. Then, we’ll go through a more advanced example with TeamGantt, which ... Read More

Feed: Microsoft Azure Blog. Author: Arpan Shah. Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us the security posture they can set up within Azure is easier to implement and far more comprehensive than what they can provide for in other environments. Azure delivers multiple layers of security, from the secure foundation in our physical datacenters, to our operational practices, to engineering processes that follow industry standard Mitre guidelines ... Read More

Feed: The Information Lab. Author: Sophie Sparkes. 31 May, 2019 Tableau 2019.2 New Features This is a guest post by Data School Alumni Marc Reid. This post first appeared on Marc’s blog. Please check out Marc’s blog for more great posts on recent Tableau features. Version 2019.2 of Tableau is probably the biggest release I’ve seen since starting to use the product in early 2017. The ability to dynamically show and hide floating containers along with the functionality to pass values from your data in the view through to parameters with the new Parameter Actions has opened up some really ... Read More

Feed: R-bloggers. Author: Jeanine Schoonemann. # --------------------------------------------------------------- # # What : Plot neighborhood data on geo-map (city of Utrecht) # # Author : Wouter van Gils ([email protected]) # # Date : February 2019 # # --------------------------------------------------------------- # # packages required library(geojsonio) library(leaflet) library(magrittr) library(htmlwidgets) ####################### ## READ POLYGON DATA ## ####################### # Read shapefile: Spatial Polygon DB neighborhoods_utrecht [email protected]) # Show the neighborhoods of Utrecht on a Leaflet map leaflet(neighborhoods_utrecht) %>% #addProviderTiles("nlmaps.standaard") %>% addProviderTiles("Esri.WorldGrayCanvas") %>% addPolygons(stroke = TRUE, color = "white", weight="1", smoothFactor = 0.3, fillOpacity = 0.7, fillColor = "lightblue") ################################## ## LOAD DATA TO PLOT ON POLYGON ## ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. I have recently been confronted to a kind of data set and problem that I was not even aware existed:intermittent demand data. Intermittent demand arises when the demand for a certain good arrivessporadically. Let’s take a look at an example, by analyzing the number of downloads for the {RDieHarder}package: library(tidyverse) library(tsintermittent) library(nnfor) library(cranlogs) library(brotools) rdieharder Let’s take a look at just one month of data, because the above plot is not very clear, because ofthe outlier just before 2019… I wonder now, was that on Christmas day? rdieharder %>% filter(count == max(count)) ## ... Read More

Feed: Recent Announcements. You can now use Apache Spark 2.4.2, Apache Flink 1.8.0, Presto 0.219, Hue 4.4.0, JupyterHub 0.9.6, Apache Livy 0.6.0, and Apache MXNet 1.4.0 on Amazon EMR release 5.24.0. This release also includes three new performance optimizations which you can enable and improve Spark performance by up to 13X: Dynamic partition pruning, Flattening scalar subqueries, and DISTINCT before INTERSECT. Dynamic partition pruning allows the Spark engine to dynamically infer relevant partitions at runtime, saving time and compute resources by both reading less data from storage, and processing less records. Flatten scalar subqueries helps in situations where multiple different ... Read More