Tag: analytics

Feed: Featured Blog Posts - Data Science Central. Author: saurabh ajmera. As per Wikipedia, Price Elasticity of Demand (PED or ED or PE) is a measure used in economics to show the responsiveness, or change, of the quantity demanded of a good or service to a change in its price when nothing but the price changes. In more precise business terms, it helps in finding those products which have their sales more/less susceptible to price changes. As we know, the demand is inversely proportional to price, it is quite imperative to know this information for optimising sales and margins. Without ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. I have been looking at this problem over a few years now The IoT industry often speaks of handling both high volumes and high throughputs of data However, currently, I find that there are not many use cases for IoT streaming analytics which are unique The 'unique' and 'currently' bits are important i.e. identifying use cases that need the analytics primarily implemented in the stream (and not applied to data when at rest) Do you know of companies/ vendors actually implementing this? (in production today) On one hard, every ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Announcements Migrating R Applications to the Cloud - Upcoming Webinar Learn a new skill at #StrataData New York. Featured Resources and Technical Contributions  10 Visualizations Every Data Scientist Should Know Calculating Price Elasticity Through KNIME Stratified vs Cluster vs Quota Sampling The First Article About Theoretical Data Science (and easy to read) Introduction to Various Reinforcement Learning Algorithms Linear ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: andres-avalos; There are hundreds, if not thousands, of ways to get value out of your data catalog in an enterprise. A data catalog can help you organize all your data and apply governance controls to various types of data assets. And the best data catalogs can automate the process to collect, classify and profile data to ensure the highest standards of quality. But the value of data catalogs can’t be derived by features or functions alone. Value comes from how fast a data catalog can meet the immediate and ... Read More

Feed: Planet big data. Author: Brandon Purcell. As a data and analytics leader, you have the means to help your company reimagine your business. There’s an opportunity for you to become a meaningful change agent in your organization. Not sure where or how to start? We’ll help you get there at this year’s Data Strategy & Insights Forum in Austin, Texas. Reimagine To Reinvent In most organizations, data strategy and insights professionals and their teams are seen as back-office functions, running numbers to validate and prove. They are known to be worker bees: working predominantly behind the scenes; heads down; curious and abreast of new research ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Arawan Gajajiva, Principal Architect; User Auditing Part 2 – Dimensional Modeling and Implementing Type 2 Dimensions In Part 1 of this series on Matillion security controls and how to enable user auditing, we showed how to use Matillion ETL to integrate with a couple Matillion v1 API endpoints as sources of User and Audit Logging data.  In Part 2 of this series, we show how to use Matillion ETL to implement a common data design pattern, Dimensional Modeling, to get the most insights out of this User and Audit Logging data. If ... Read More

Feed: What's New. Author: Conor Knowles, Mary Grace Glascott. Luke Stapleton, the analytical platform manager at nib group, did not want to undertake a big DevOps project when planning the insurance company’s cloud analytics journey. The team chose Snowflake as its cloud data warehouse because it proved to have everything the company needed out-of-the-box. It easily complimented the company’s existing cloud infrastructure, quickly processed its significantly large volumes of data, and flexibly scaled up and out depending on the needs of the business. Another important factor when choosing Snowflake was the ability to support nib group’s Tableau deployment, which had ... Read More

Feed: SAS Blogs. Author: Cindy Wang. Time-series decomposition is an important technique for time series analysis, especially for seasonal adjustment and trend strength measurement. Decomposition deconstructs a time series into several components, with each representing a certain pattern or characteristic. This post shows you how to use SAS® Visual Analytics to visually show the decomposition of a time series so that you can understand more about its underlying patterns. Characteristics of time series decomposition Time series decomposition generally splits a time series into three components: 1) a trend-cycle, which can be further decomposed into trend and cycle components; 2) seasonal; ... Read More

Feed: AWS Big Data Blog. Perimeter security helps secure Apache Hadoop cluster resources to users accessing from outside the cluster. It enables a single access point for all REST and HTTP interactions with Apache Hadoop clusters and simplifies client interaction with the cluster. For example, client applications must acquire Kerberos tickets using Kinit or SPNEGO before interacting with services on Kerberos enabled clusters. In this post, we walk through setup of Apache Knox to enable perimeter security for Amazon EMR clusters.It provides the following benefits: Simplify authentication of various Hadoop services and UIs Hide service-specific URLs/Ports by acting as a Proxy Enable SSL ... Read More

Feed: CronJ. Author: Vignesh M; AI is been in our imagination for the last 40 50 years.In fact, from all the way from 2001 Space Odyssey to even like Ex Machina, there’s been a lot of movies about our fascination with AI.Unfortunately, that’s been a very negative twist around AI because ultimately all those movies are about the machines turning on humans and ultimately killing them. So I would like to offer a more optimistic outlook about AI. But it’s clear that this is something that’s really caught our imagination.The other thing that was clear was that this is all ... Read More