...celebrating Muddy Waters 1976 performance in Boston as the city declared ‘Muddy Waters Day’

Buckingham Palace lay down the red carpet, as the iconic setting for the BBC VE Day 75 Live The People’s celebrations. Tears flowed, emotions

To celebrate the release of André Rieu’s ‘Shall We Dance?’ on DVD on 13th March, XXX is giving you the chance to win one of FIVE copies.

In this introductory series on Bluemix and Bluemix Continuous Delivery, you'll discover how using these products can prevent you from wasting time. You learn how to quickly and easily deploy a simple application, deploy an app that makes use of a Bluemix service, and write code that uses a new Bluemix service. You'll even try out the Web IDE (no setup required) and learn how to use agile planning tools. As a bonus to all of the knowledge you'll get by working through the examples in this series, you also get an application that checks the prices of items in online stores for you, so you don’t have to surf the web to see if your favorite items are on sale!

This article describes the details behind the new software-defined converged infrastructure for deploying SAS Foundation Mixed Analytics workloads using IBM Elastic Storage Server (ESS), IBM Spectrum Scale, IBM POWER8, and Mellanox networking technology. This article documents detailed test configurations, test scenarios, performance results, and tuning options for the converged infrastructure. This article provides a methodology to tune each component in the infrastructure horizontally, as well as tuning the solution vertically, which allowed the optimal performance to be achieved.

Learn how to get data from your Informix database and dump it in Spark so you can leverage it against other data sources and compile advanced analytics all that in Java. The targeted audience is Informix and non-Informix users seeking to bring RDBMS data into Spark.

Businesses can make IT operations smarter by reacting to weather events and automating operational decisions that factor in weather data. This article describes the steps to combine services to automate decisions that consider weather data by running business rules. The business decisions could result in actions such as sending notifications, adjusting prices, generating promotions, triggering IoT devices, or initiating business processes.

The third part of this tutorial series goes deeper into joins and more complex queries. Learn how to get data from your Informix database and dump it in Spark so you can leverage it against other data sources and compile advanced analytics all that in Java. The targeted audience is Informix and non-Informix users seeking to bring RDBMS data into Spark.

If you are already using IBM Db2 Analytics Accelerator and Tivoli Decision Support for z/OS (TDSz), you can now directly load data to Db2 Analytics Accelerator with the TDSz schema, without storing data in Db2 tables. With this feature, you can save CPU and space on expensive storage and also store and query data over a longer period at a more detailed level. This tutorial shows you how.

In Part 4 of this tutorial series, you'll learn how to link external and public data to your existing data to gain insights for your sales team. In this scenario for retail sales, you'll learn how to forecast the hot sales areas for new wins.

IBM i2 Analyze is an extensible, scalable, and service-oriented analytical environment that is designed to provide organizations with access to intelligence when and where they need it, so they can make faster and more informed decisions.

In this two-part series, I explain how to find project management insights from a GitHub organization and how to create and publish tools to the Python Package Index.

This article explains how to use IBM Db2 for i within a Node-RED flow to rapidly build a solution or prototype on IBM i. In the example illustrated in this article, we build a social media dashboard using 5733OPS Node.js, a Db2 for i node with IBM Watson, dashboard, and Twitter nodes.

It is sometimes useful to have more granular access controls on a database than the controls that are provided by Cloudant. In this tutorial, you learn how to create a Cloudant proxy that is under your control. Using such a proxy, you can implement the appropriate authorization model to the system.

MicroStrategy is a business intelligence tool that allows data to be explored and visualized. MicroStrategy supports Hadoop environments as a data source. Read this article for details about how MicroStrategy Desktop was tested to integrate with and visualize data in Hortonworks Data Platform (HDP) on IBM POWER8.

Veristorm vStorm Enterprise makes data migration to Hadoop environments flexible, secure and easy. vStorm already supports data movement to Hadoop solutions running on Linux on IBM Power Systems. Read this article for details about how vStorm was tested to integrate with and move data specifically to Hortonworks Data Platform (HDP) on IBM POWER8.

Tableau is a business intelligence tool that allows data to be discovered and visualized. Tableau supports Hadoop environments as a data source. Read this article for details about how Tableau Desktop was tested to integrate with and visualize data in Hortonworks Data Platform (HDP) on IBM POWER8.

QlikView is a business intelligence tool that allows data to be discovered and visualized. QlikView supports Hadoop environments as a data source. Read this article for details about how QlikView was tested to integrate with and visualize data in Hortonworks Data Platform (HDP) on IBM POWER8.

In this second installment of a two-part tutorial on how to combine Weather Data and Business Rules IBM Cloud services to automate operational business decisions based on weather conditions, you will take a closer look at the decision operation created in Part 1, learn how to create simple business rules that use weather data and a rule flow that includes these rules, and deploy the decision operation to IBM Cloud. A Node-RED flow will orchestrate a call to the weather data, the Business Rules service, and take action based on the outcome executing business rules.

Discover common problems associated with cleansing data for validation and processing, with solutions for dealing with them. You'll also find a custom tool to make the process of cleansing data and merging data sets for analysis.

User interaction with IBM Datacap can occur when physically scanning pages or when reviewing problems found while processing pages. Here, you can find the information to create your own panels to be used within an IBM Datacap application. Custom panels present alternative layouts and manipulation of fields and data.

Part 5 of this tutorial series teaches you how to add machine learning to your data to help you extrapolate future orders.

This article gives you a step-by-step overview of using the Payment Card Industry (PCI) Data Security Standard (DSS) accelerator that is included with the standard IBM Guardium data security and protection solution. The PCI DSS is a set of technical and operational requirements designed to protect cardholder data and applies to all organizations who store, process, use, or transmit cardholder data. Failure to comply can mean loss of privileges, stiff fines, and, in the case of a data breach, severe loss of consumer confidence in your brand or services. The IBM Guardium accelerator helps guide you through the process of complying with parts of the standard using predefined policies, reports, group definitions, and more.

Learn about VQ and ART algorithms. VQ quickly and efficiently clusters a data set; ART adapts the number of clusters based on the data set.

Learn how to deploy an Apache Cassandra NoSQL database on a Kubernetes cluster that spans multiple data centers across many regions. The benefits of such a setup are automatic live backups to protect the cluster from node- and site-level disasters, and location-aware access to Cassandra nodes for better performance.

IBM Cloud is an open platform for developing and deploying web and mobile applications. In this two-part tutorial, we walk you through the steps to create a simple GuesstheWord game application using IBM Cloud and its cloud-based development environment: open toolchains and the IBM Cloud Continuous Delivery service. You will start from scratch and end up with a simple game you can play in a web browser with server code running in the cloud.

Data is meaningless if you can't process it to gain insights. The field of data science gives you the tools and methods you need to process data sets effectively and so get the most from the data you collect. In this tutorial, you will Get the basics of machine learning, including data engineering, model learning, and operations.

Organizations that use IBM Security Guardium activity monitoring for data security and compliance struggle with the quantity of collected audit data, especially if they have 10 or more Guardium collectors. IBM Security Guardium Big Data Intelligence provides the power of a big data platform that is purpose-built for data security requirements. It helps augment existing Guardium deployments with the ability to quickly create an optimized security data lake that can retain large quantities of historical data over long time horizons.

Trace the path from raw data to stored knowledge. Identify various data sources and the differences between structured and unstructured data. Learn what makes data valuable before applying the DIKW model to data science.

Individuals and organizations store all kinds of data. What do we do with it all? Can we call it up as we need it? Can all that data be analyzed quickly and efficiently? Or, does it tie up storage resources and languish for years because the cost of going through it and discarding what's obsolete is too high? Discover the utility and wisdom of storing dark data.

This tutorial demonstrates how to implement a custom crawler plug-in with IBM Watson Explorer to analyze a hierarchical data structure within the context of content analytics. The strategy outlined here permits the retaining of the hierarchical structure or grains of the model being analyzed.

The oldest known way to process data in Python is building up data in lists, dictionaries and other such data structures. Though such techniques work well in many cases, they cause major problems when dealing with large quantities of data. It's easy to find that your code is running painfully slowly or running out of memory. Generators and iterators help address this problem. These techniques have been around in Python for a while but are not well understood. Used properly, they can bring big data tasks down to size so that they don't require a huge hardware investment to complete.

Python's motto has always been "Batteries included," to highlight its extensive standard library. There are many well-kept secrets among the standard modules, including itertools, which is less well known in part because iterators and generators are less well known. This is a shame because the routines in itertools and related modules such as functools and operators can save developers many hours in developing big data operators. Learn by copious examples how to use itertools to address the most common MapReduce-style data science tasks.

Australians are being warned to take care when visiting their mums on Mother's Day, particularly if they are elderly.

The British government has told airlines it will introduce a 14-day quarantine period for most people arriving from abroad to try to avoid a second peak of the coronavirus pandemic, an association representing the airlines said on Saturday.

Prime Minister Scott Morrison has a big task today — to make Mother’s Day special for three mums in lockdown at The Lodge.

NSW residents and businesses will finally have some relief, with harsh coronavirus restrictions easing from Friday to “fire up the economy”.

President Donald Trump has joined World War Two veterans at a wreath laying ceremony commemorating the 75th anniversary of the end of World War Two in Europe. President Trump and First Lady Melania paid their respects at a memorial in Washington.

Australians are being warned to take care when visiting their mums today, particularly if they are elderly.

Motherhood, for now, looks vastly different for Sarah Roberts than she expected it to – but nonetheless, the actor wants to speak candidly about the heartbreak she and husband James Stewart endured after she suffered two miscarriages in the past year.

The Queen has marked the 75th anniversary of the allied Victory in Europe remembering how she sneaked outside Buckingham Palace in 1945 to celebrate with the joyous crowds.

For anyone wondering where Kim Kardashian has been (believe it or not, she hasn’t been photographed outside her house in a few months) – it seems the paparazzi ‘found’ her in this glittery maroon bikini outside her rented home in Malibu this week.

On-camera talent runs in the family at the Ennis household, with former NRL star and Fox League commentator Michael Ennis gearing up for his daughter Kobyfox’s Nickelodeon debut.

There is no doubt that COVID-19 has crippled the entertainment industry however for The Wiggles, they’ve been surprised to learn they’ve never been more popular.

CAMERON Daddo was a household name in the early ’90s in Australia, but since returning after more than 25 years in Hollywood, he’s had to introduce himself again to audiences in his beloved home country.

Model Jesinta Franklin will today celebrate being a mother for the first time.

Erica Sigurdson and Sterling Scott make their punctuation mark when they discuss correcting others on their spelling and grammar. Then, Tim Nutt and Ryan Williams are a black diamond in the rough in their debate on skiing and snowboarding.

Lara Rae and Rob Pue refuse to overstay their welcome in their debate on going home for the holidays. Then, John Hastings and Derek Seguin dial it up a notch on telemarketers.

Grieving amidst a pandemic in Nova Scotia, a survivor of L'Ecole Polytechnique reflects on trauma and healing, The Last Dance lionizes Michael Jordan's last championship run, Becky Toyne's isloation reading list, Denmark's national museum documents daily life during a pandemic, Never Rarely Sometimes Always director Eliza Hittman and more.