Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in…

The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at…

The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at…

Data is the driving force of every organization in the modern world. As organizations continue to collect more and more data, the need to manage the quality of the data becomes more prominent each day.

Data Quality Management can be defined as a set of practices undertaken by a data manager or a data organization to maintain high-quality…

What is Cloud Data Discovery

Data discovery is a term used to depict the interaction for gathering data from different sources by identifying patterns and variances with the assistance of guided advanced analytics and visual route of…

Backing up your data allows you to keep your operations running, preserve customer and sales data you need for business planning or a marketing strategy development. However, not too many business owners are familiar with this process which is rather simple to perform even though it offers a wide array of different methods,…

Big data, a term that describes a huge volume of data that inundates businesses on a daily basis, has transformed many processes in numerous different industries. The way big data works in business is that it gets analyzed to reveal patterns that weren’t previously recognized and provide companies with more insight into a certain…

Cassandra is a popular, tried-and-true NoSQL database that supports key-value wide-column tables. Like any powerful tool, Cassandra has its ideal use cases - in particular, Cassandra excels at supporting write-heavy workloads, while having limitations when supporting read-heavy workloads. Cassandra's eventual consistency model and lack of…

Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist can actually engage in science, there are several steps they must first complete:

1. Find where…

Data privacy governs how organizations collect, share, store, and delete personal data. In another word, data privacy safeguards user's rights to private preferences. There are laws established to ensure compliance with data privacy - General Data Protection Regulation (GDPR) and Calfornia Consumer Privacy Act (CCPA).

Data Privacy in…

                                           Source…

Blockchain technology is the talk of the techno-world. The technology is booming at a faster rate and is promising for almost all industries as it conforms trust relations in the techno-world. Blockchain builds a trusted network through its encryption algorithms and accounts for controllable permissions, provenance, transactions, smart contracts, and many applications.…

Over a period, large organizations have been transformed into disintegrated silos that has grown to be a major impediment to respond to changing market demands with agility. Organizational silos have led to innumerous disconnected policies, systems, processes, standards, teams. In order to sustain in this digital era, it’s imperative for organizations to take a top down enterprise value chain view to continually evaluate its ability to adapt (as well as compete) to changing market…

By Frank Wessels



The recent announcement from AWS about the general availability of their new ARM-powered Graviton2 servers caused us to take another look at the performance of these ARM servers. In this blog post we describe the results which you may find surprising.

Introduction

MinIO is an Apache licensed, open source S3-compatible object storage server with a particular focus on high…

We’ve written a lot about finding and preparing data lately. But that’s only the beginning when it comes to extracting value from it. When organizations begin flowing external data through their organization, the various issues associated with data sharing start causing problems. Some of these issues include:

• Controlling permissions and data access, including sharing partial/filtered views or picture-in-picture data
• Accurately tracking changes to data and monitoring how…

Most of us working in business intelligence and data science spend a lot of time creating data models, reports and beautiful dashboards. Even though the models are great and reports look fancy, the true value is in your customers actively using it. How often do you find that nobody is actually running the report?

This hurts, but it also makes sense. People get so much information during a day, they really need to be selective. So any important information should pop out of your report…

Poor address data is a complex data quality challenge that affects customers, businesses, and mailing service. Each year, millions of dollars get wasted in resolving the consequences of poor address data. Mailers spend over $20 billion on UAA mail, while direct costs to the USPS is over $1.5 billion/year. All this unnecessary cost is the result of poor, mismanaged, invalidated address data. 

Over the years, working…

Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & integration plans. In fact, most merger and acquisition plans fail miserably because of data…