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.

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.

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.

A technology expert says he is impressed at how well Canada’s internet is holding up given the massive data-load its infrastructure is under amid the COVID-19 pandemic. 

One West Australian is tasered the equivalent of every weekday by police officers, new data obtained by the ABC via Freedom of Information shows.

Data suggests Australia's strict physical-distancing measures are beginning to work — but the risks are huge if we relax too quickly.

Competition is often seen almost as a universal good. But economist Nicholas Gruen says a slavish adherence to making everything a competition is damaging our trust in public institutions. Also, the Belgian community trialling an ancient form of democracy. And if big data is made collectively, would nationalising it help to ensure the benefits are widely distributed?

As the south and east remain gripped in a cold snap, it might be hard to believe that Australia just had its fifth warmest April on record.

For now, Australia appears to have kept the virus in check and avoided a full-blown coronavirus crisis. This data shows how we did it.

An rain gauge that uploads real-time climate data to the internet from remote locations could save farmers time, money and help them keep better records.

The records of children and teachers have been left vulnerable to cyber security attacks due to an oversight from the Northern Territory Government, a report from the auditor general's Office has revealed.

Figures from the Australian Bureau of Statistics show almost 78 per cent of Katherine residents are now either overweight or obese, the highest proportion in the country. But the town's Mayor is not quite convinced.

From smart watches to exercise monitors and devices that correct your posture, wearable tech is everywhere and now cancer survivor Kathy Reid has invented a smart breast.

A jury finds a former Canberra police officer who improperly used police data to impersonate his neighbour, in order to call authorities about a suburban dispute, acted reasonably and did not commit a crime.

Including free starter pack on how to build a successful data archiving strategy

Free goods movement restrictions, imposed by the majority of EU countries at their borders to control the spread COVID-19, are disrupting supply chains, including crucial drug and medical equipment supplies.

Younger consumers in the UK feel more optimistic than those over 35 and are likely to be more willing to embrace the lockdown loosening when it happens. Retailers will be eager to bring shoppers back into their stores after weeks of being closed and those targeting younger consumers are likely to see footfall return more quickly than players aimed at the more cautious over 35s, says GlobalData, the data and analytics company.

With its new Memor 20, Datalogic comments that it is launching a PDA that empowers users in retail, field services, logistic environments and healthcare with a device that combines the best features of a smartphone with the highest standards of enterprise level devices.

Evans Head topped a New South Wales drone trial for shark sightings last summer. Where does your beach sit on therankings?

With just seconds to go before running out of fuel and unknown alarms going off, Neil Armstrong's heartrate began to skyrocket.

Submitted by Nicole Hernandez: University Libraries participated in the RUSA Data in the Libraries webinar series this semester. The webinar recordings are now available online. The following webinar records are now available: Understanding and Working with APIs Data Processing and Visualization Open Data Data Basics and The Reference Interview Information on the webinar series, and […]

Our world is becoming increasingly intelligent, interconnected, and instrumented, resulting in massive amounts of data being collected. This data is a treasure trove of information that can be mined to improve service, increase sales, determine risk, or make operations more efficient.

Analysis of such large amounts of data, often called analytics, is increasingly desired by governments and businesses alike.

Data from traffic tracking platform SimilarWeb indicates that the number of visits to major crypto exchanges fell in April compared to March.The post Web traffic to crypto exchanges fell in April compared to March, data indicates appeared first on The Block.

This note examines the published data protection impact assessment (DPIA) released by NHSX in relation to their contact tracing/proximity tracing app. It highlights a range of significant issues which leave the app falling short of data protection legislation. It does this in order so that these issues can be remedied before the next DPIA is published.

https://news.ycombinator.com/item?id=23091359