Tag: testing

Feed: Planet PostgreSQL. tl;dr I proposed a talk about pgenv, a Bash tool to manage several PostgreSQL instances on the same local machine, to the Italian PGDay 2019. My talk has been rejected, and I hate to waste what I have already prepared, so I decided to transform my talk in an article, that has been quickly accepted on Haikin9 Devops Issue! I should have written about this a couple of months ago, but I did not had time to. My hope is that pgenv gets more and more users, so that it can grow and become someday a widely ... Read More

Feed: R-bloggers. Author: An Accounting and Data Science Nerd's Corner. Interactive EDA is nice but customized interactive EDA is even nicer. To celebrate the new CRAN version of my ‘ExPanDaR’ package I prepare a customized variant of ‘ExPanD’ to explore the U.S. EPA data on fuel economy. Our objective is to develop an interactive display that guides the reader on how to explore the fuel economy data in an intuitive way. First, let’s load the packages and the data from EPA’s web page. In addition, I prepared a small data set containing the countries of domicile for the car producers ... Read More

Feed: R-bloggers. Author: Dror Berel's R Blog. Bioconductor S4 classes for high-throughput omics data Motivation Multi-omics data integration and analysis. What a beast! It is one of the major challenges in the era of personalized/precision medicine (or whatever you want to call it). Denfinetely mine, as someone who is expected to grab such messy data from multiple sources, allign and annotate it altogether, and then testing some interesting hypothesis with it. If you thought analysis of a single omic (microarray, RNAseq etc) is overwhelming, what about integration of multiple single-omic data? Multi-omics data adds another layer of priceless high-throughput biologic ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity, and variety of data. But that means there are new opportunities for well-prepared SMBs to uncover insights and unlock value.Harnessing big data – data sets of a size or type is beyond the ability of traditional relational databases ... Read More

Feed: Microsoft Azure Blog. Author: Sercan Guler. AzCopy v10 (Preview) now supports Amazon Web Services (AWS) S3 as a data source. You can now copy an entire AWS S3 bucket, or even multiple buckets, to Azure Blob Storage using AzCopy. Customers who wanted to migrate their data from AWS S3 to Azure Blob Storage have faced challenges because they had to bring up a client between the cloud providers to read the data from AWS to then put it in Azure Storage. This meant the scale and speed of the data transfer was limited to the client in the middle ... Read More

Feed: Planet MySQL; Author: Mike Frank; In all likelihood your MySQL database contains valuable and sensitive information. Within that database, MySQL protects that data using features such as encryption, access controls, auditing, views, and more. However in many cases you may need to share some of this data, but must at the same time protect that sensitive information.  That is where data masking and de-identification techniques are needed. Masking Data Sensitive data can be any number of things. For example, your data may contain PII (personally identifiable information), PHI (Protected Health Information), PCI (Payment Card Information), financial data, intellectual property, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest.   McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest. The goal here is to describe how ... Read More

Feed: AWS Compute Blog. Author: Sandy Carter. We’ve been talking to many customers over the last 3–4 months who are concerned about the total cost of ownership (TCO) for running Microsoft Windows workloads in the cloud.For example, Infor is a global leader in enterprise resource planning (ERP) for manufacturing, healthcare, and retail. They’ve moved thousands of their existing Microsoft SQL Server workloads to Amazon EC2 instances. As a result, they are saving 75% on monthly backup costs. With these tremendous cost savings, Infor can now focus their resources on exponential business growth, with initiatives around AI and optimization. We also ... Read More

Feed: Microsoft Azure Blog. Author: Parikshit Savjani. This blog is co-authored by Nick Lopez, Technical Advisor at Microsoft. Grafana is one of the popular and leading open source tools for visualizing time series metrics. Grafana has quickly become the preferred visualization tool of choice for developers and operations teams for monitoring server and application metrics. Grafana dashboards enable operation teams to quickly monitor and react to performance, availability, and overall health of the service. You can now also use it to monitor Azure services and applications by leveraging the Azure Monitor data source plugin, built by Grafana Labs. This plugin ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Nothing like a devastating catastrophe to bring a bit of reality into the world of IoT and data science.  The recent crashes of the new Boeing 737 Max have been attributed to a single point of failure – a sensor – in the design of the complex navigation system[1].  To summarize the situation: Boeing’s new 737 MAX included larger, more efficient engines than the previous generation and as such, the engines were placed on a different location on the wings affecting the aerodynamics.  To compensate for this, and in ... Read More