Tag: data analytics

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human activity seek improvement. Modern manufacturing is often referred to as industry 4.0 that is the manufacturing under conditions of the fourth industrial revolution that has brought robotization, automation and broad application of data. The amount of data to be stored and processed is growing every day. Therefore, today's manufacturing companies need to find new solutions and use cases for this data. Of course, data brings ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Prashanth Southekal, PhD. Can Lack of Data Always Provide Valuable Insights? Prashanth H Southekal and Matthew Joyce Today, data – both structured and unstructured, is seen as the most valuable business asset to solve problems and improve productivity.  An article in Forbes says every company today is a data company! However, we often get questions from our clients, whether data can offer insights when there is no complete data available.  The short answer is YES; data can provide insights even when the complete data set is NOT available! Here is a ... Read More

Feed: What's New. Author: Midori Ng. MIDORI NG (MN): We've chatted a couple times, and I really love hearing your story. Can you share a little bit about yourself? TARNEJAH ROLFE (TR): I am a senior Computer Information Systems major at Howard University in Washington, DC. I’m originally from Dallas, Texas. My older sister attended Howard and she [is] a really big influence on my life. I saw how the school really changed and transformed the way she thought and acted. And I thought that was pretty impressive, so of course, I chose Howard as well. MN: You’re a third-year ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Paul Johnson, Solution Architect; Paul Johnson, Solution ArchitectA data lake is not a direct replacement for a data warehouse; they are supplemental technologies that serve different use cases with some overlap. Most organizations that have a data lake will also have a data warehouse. The following section will compare the properties of a data lake in comparison to a traditional BI architecture (data warehouse & separate ETL server).1. Data in Data Lakes is stored in its native formatData can be loaded faster and accessed quicker since it does not need to go ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Introduction With the growth of Data science in recent years, we have seen a growth in the development of the tools for it. R and Python have been steady languages used by people worldwide. But before R and Python, there was only one key player and it was MATLAB. MATLAB is still in usage in most of the academics areas and mostly all the researchers throughout the world use MATLAB. In this blog, we will look at the reasons why MATLAB is a good contender to R and Python ... Read More

Feed: Big Data Made Simple. Author: Praveen Kumar. The SAP S/4HANA, also referred to as the SAP Business Suite 4, is usually defined as an accelerated business suite helping businesses to simplify financial transactions and analyze data in real-time, by undertaking the next generation technology. Ever since SAP released the S/4HANA in February 2015, it has been personalizing user experiences for software startups with the help of the big data and IoT technology. However, it would be interesting to see, how the Accelerated SAP S/4HANA will take your retail business to a higher level. So, if you want to find ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Pedro URIA RECIO. Offline marketing is far from dead The marketing communication industry has three main players: the brand, the agency and the media owner. The agency, who is typically the middle-man, has the most visibility in attribution and drives majority of the tactical decisions of the brand. Having said that, the agency does not have an economic interest to maintain transparency between the brand and the media owner. This is particularly a problem when it comes to offline marketing, like TV or billboards, where data is very difficult to collect ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Alexander Landa. Note: This article was originally posted on OpenDataScience.com. Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to create shortcuts to satisfy the need for more data science practitioners. The current trend of automated machine learning is a great case in point. This article will touch on a number of efforts to circumvent the need for data scientists to select and train machine learning models and determine metrics for measuring their performance. The search for automated ... Read More

Feed: James Serra's Blog. Author: James Serra. Azure Data Explorer (ADX) was announced as generally available on Feb 7th.  In short, ADX is a fully managed data analytics service for near real-time analysis on large volumes of data streaming (i.e. log and telemetry data) from such sources as applications, websites, or IoT devices.  ADX makes it simple to ingest this data and enables you to perform complex ad-hoc queries on the data in seconds – ADX has speeds of up to 200MB/sec per node (currently up to 3 nodes) and queries across a billion records take less than a second.  A ... Read More

Feed: What's New. The AMD-based instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads. M5a instances are ideal for business-critical applications, web and application servers, back-end servers for enterprise applications, gaming servers, caching fleets, and app development environments. R5a instances are ideal for high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications. With these regional expansions, these instances are available today in US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, ... Read More