Tag: Access

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Alastair Green, Query Languages Standards & Research Lead, Neo4j | February 15, 2019Reading time: 4 minutes The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback.As part of the preparations for a forthcoming Apache Spark 3.0 release, the Spark development community has just completed a positive vote for a Spark Project Improvement Proposal (SPIP) to add property graphs based on DataFrames to Spark. Based on the achievements of the ongoing ... Read More

Feed: The Information Lab. Author: Ravi Mistry. 15 February, 2019 | Ravi Mistry Project Griffon: Datasource & Workbook Audit With Project Griffon, we want to share examples and started with you – the Tableau Community. The objective here is to share tools which use what you have in front of you to help explain more about what’s going on. Please be sure to read the introduction to Project Griffon, and ensure that you have access to the Tableau Server Repository via the Postgres connection. Ask and ye shall receive! The first Project Griffon blog of 2019 comes via a request from Sam Parsons. Sam’s ... Read More

Feed: Microsoft Azure Blog. Author: James Baker. On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. Azure is now the only cloud provider to offer a no-compromise cloud storage solution that is fast, secure, massively scalable, cost-effective, and fully capable of running the most demanding production workloads. In this blog post we’ll take a closer look at the technical foundation of ADLS that will power the end to end analytics scenarios our customers demand. ADLS is the only cloud storage service that is purpose-built for big data analytics. It is designed to integrate ... Read More

Feed: Big Data Made Simple. Author: Manan Ghadawala. Looking at the current state of affairs, the Internet of Things (IoT) is going to be the eventual fate of remote and local computer systems. Its administration is dependent on electronic sensors and programmed information handling. IoT speaks to the general idea, which is the capacity of system gadgets to detect and gather information from our direct surroundings. And afterward, share that information over the internet. Where it tends to be handled and used for different applications by various data controllers.IoTs are not restricted to one explicit application. Today, IoT applications range ... Read More

Feed: Planet PostgreSQL. I want to take a few minutes for a deep dive into the effect your data model has on storage density when using PostgreSQL. When this topic came up with a customer, I explained my thoughts on the matter, but I realized at the time that I had never done a reasonably careful apples-to-apples test to see just exactly what the effect is, at least for a model sample size of one. So here it is ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Benjamin Waxer. In this 5 Minute Analysis we'll preprocess, map, and explore complicated sales data for liquor stores in Iowa. Then we’ll extract the relevant latitude and longitude from a problematic column of the data and discover the city with the most sales. Next we’ll filter the data to that city and prepare the data for easy loading into Business Analysis tools such as Tableau and PowerBI. Finally we’ll use our extracted location data to visualize sales within the selected city.Dataset: Iowa Liquor Sales This blog post explores and analyzes the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Samual Alister. Data science is among the one of the most discussed term in last few years. Digital industry is hugely dependent on exchange of data. But most of us just know about basic terminology about data science like it just about studying data and finding out some important information from them. But it is more than that. So, what exactly those data scientists do? Why does everyone want one? And how do you become one? Let’s start with what does a data scientist do? Same as a business analyst, data ... Read More

Feed: Cloudwards. Author: Brian Murray; Every time you type a website address into the URL bar of your browser, it triggers a complex series of events that connect your computer with the website. Part of the process is for your computer to retrieve the IP address of that website’s server. This information is given to your computer by a DNS, or domain name system. It’s a “middleman” reminiscent of an operator on old-timey phone exchange. Your computer contacts the DNS and tells it the URL for the website you are trying to reach. The DNS then provides the address of ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements. Machine Learning on the IBM z Platform In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health ... Read More

Feed: Cambridge Intelligence. Author: Dan Williams. To help users make sense of their complex data, KeyLines – the graph visualization toolkit – offers an intuitive way to group and combine different nodes. We call these groupings combos. They’re great for reducing clutter and organizing your networks into something more manageable.Insightful user feedback has helped us make combos even better (you’ll have spotted the latest batch of great enhancements in KeyLines 5.1). There are more improvements to come as this powerful feature will soon move out of Beta development and become an established part of the KeyLines toolkit.How you style nodes ... Read More