We recently looked at Quantum Computing value proposition. Quantum Computer can solve some problems by several order of magnitude. This brings today’s intractable problems to be easy to solve tomorrow. Not all problems have this property. In this article, we’ll look at some problems that do. This is a technical-light article with no mathematics. Cryptography … More Quantum Computing – Scenarios
Quantum Computing has gone from being an academic curiosity to a big bet in the last decade. Microsoft, Google, IBM and plenty of others are investing into that technology. There still isn’t a large scale Quantum Computer commercially availably, but many think it’s around the corner. Some complex problems would take today’s computers centuries to … More Quantum Computing – Value Proposition
We’ve recently looked Azure Databricks: Getting Started Resilient Distributed Dataset Spark SQL – Data Frames Transforming Data Frames in Spark Parsing escaping CSV files in Spark In most cases we did share notebooks on GitHub. Here we wanted to show how easy it is to import those notebooks. Choosing a Notebook First, let’s choose a … More Import Notebooks in Databricks
We looked at Azure Functions. We also looked at security around Azure Function used to implement APIs. Something people will quickly notice when implementing an Webhook / API function is that its URL or route is always prepended by /api. For instance, if we create a webhook function in C# and we setup the route … More How to get rid of /api in Azure Function’s route?
In previous weeks, we’ve looked at Azure Databricks, Azure’s managed Spark cluster service. We then looked at Resilient Distributed Datasets (RDDs) & Spark SQL / Data Frames. We also looked at an example of more tedious transformation prior to querying using the H-1B Visa Petitions 2011-2016 (from Kaggle) data set. Here, we’re going to look … More Azure Databricks – Parsing escaping CSV files in Spark
In previous weeks, we’ve looked at Azure Databricks, Azure’s managed Spark cluster service. We then looked at Resilient Distributed Datasets (RDDs) & Spark SQL / Data Frames. We wanted to look at some more Data Frames, with a bigger data set, more precisely some transformation techniques. We often say that most of the leg work … More Azure Databricks – Transforming Data Frames in Spark
We looked at Azure Databricks a few weeks ago. Azure Databricks is a managed Apache Spark Cluster service. More recently we looked at how to analyze a data set using Resilient Distributed Dataset (RDD). We used the Social characteristics of the Marvel Universe public dataset, replicating some experiments we did 2 years ago with Azure … More Azure Databricks – Spark SQL – Data Frames