Through DB2 we can get the average time in ms disk access is having DB2. These times are crucial for the detection of a IO problem with DB2 instance.

Usually we take into consideration that a value close to 2-3ms is good, more than 10ms can indicate problems.

Avg ms/write:

select trunc(decimal(sum(pool_write_time))/decimal(

(sum(pool_data_writes)+sum(pool_index_writes))),3)

from sysibmadm.snaptbsp

Avg ms/read:

This article will discuss how supply chains are being improved through the use of innovative technologies before highlighting five uses of artificial intelligence and machine learning in supply chains.

When you finish reading, you’ll understand why many industry analysts have described A.I. technologies as disruptive innovations that have the potential to alter and improve operations across entire supply chains..

This article will describe the relevance of open source software and big data before describing five interesting and useful open source big data tools and projects.

Big data workloads are those that involve the processing, storage, and analysis of large amounts of unstructured data to derive business value from that data. Traditional computing approaches and data processing software weren’t powerful enough to cope with big data, which typically inundates organizational IT systems on a daily basis.

The widespread adoption of Big Data analytics workloads over the past few years has been driven, in part, by the open source model, which has made frameworks, database programs, and other tools available to use and modify for those who want to delve into these big data workloads..

Tiered storage is a way of managing data by assigning it to different types of storage devices/media depending on the current value that the underlying information provides. The efficient management of data recognizes that all information provides an intrinsic value from the time it’s created to the time it becomes obsolete and that this value changes over the information lifecycle.

The typical factor determining the value of information is how frequently you access it, however, policy-based rules can factor a number of other issues to determine information value. For example, old bank transactions, which might have a low value, could suddenly shift in value depending on special circumstances, such as a tax audit. This article discusses some pros, cons, and best practices for tiered storage..

Disaster recovery is a set of processes, techniques, and tools used to swiftly and smoothly recover vital IT infrastructure and data when an unforeseen event causes an outage.

The statistics tell the best story about the importance of disaster recovery—98 percent of organizations reported that a single hour of downtime costs over $100,000, while 81 percent indicated that an hour of downtime costs their business over $300,000...

Amazon Web Services (AWS) is a subsidiary of Amazon that provides cloud computing services, accessible to both individuals and companies.

While newer cloud providers like Microsoft Azure and Google grow at a faster rate, AWS still holds a commanding position at the top of the cloud provider market..

Big Data marketing refers to the use of high-velocity, voluminous, and variable data to improve a company’s marketing efforts. When people think of the term Big Data, they often make the erroneous assumption that it’s just about the size of the datasets.

However, Big Data refers to data expanding on two other fronts —velocity and variety..

Data visualization describes techniques and tools that help people understand the meaning of data by representing it in a visual context. It’s often easier to identify important trends, correlations, and patterns in data which is presented visually rather than in its native format. Data visualization is particularly helpful in a Big Data landscape, in which many enterprises try to derive insights from huge data sets, with information obtained from myriad sources, including social media, enterprise software, and web analytics.

Read on to find out how data visualization is linked to another extremely relevant aspect of technology—responsive web design and responsive images..

The process of taking data from different systems and putting it into a data warehouse for business analysis can be a complicated affair. In this article, we look at what is involved and how the cloud has made matters potentially trickier.

A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources..

In a world where organizations of all sizes gather vast quantities of data every single day, there is a real need to get insights from these huge data sets that drive better business decisions. After all, what is the point of collecting data from disparate sources if your business doesn’t get some benefit from all that information?

However, traditional database software cannot process and analyze such voluminous, complex data sets. This is, in essence, the problem that big data analytics solves, by providing powerful systems that can process and get insights from large data sets..