Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

Related Topics: Containers Expo Blog

Containers Expo Blog: Article

Queplix Offers Best Practices for Data Integration

The explosion in information technologytools and capability has accelerated

by Michael Zuckerman, CMO, Queplix

The explosion in information technologytools and capability has accelerated. Our information technology environment is moving at absolute light-speed. Yet, the back of data integration is broken. 90% of customers are using 20-year old ETL technology designed to move batch files into the data warehouse at 1:00 am. It is a manual process. Worst of all, is that some vendors have even put this 20-year old technology in their newly minted 1-year old cloud. Who wants 20-year old technology in a 1-year old cloud?

To add insult to injury, data quality is … “another product.” I humbly submit that without resolving data quality issues and providing for their ongoing maintenance, you cannot integrate even two applications, load your data warehouse, consider a future Virtual MDM deployment.

The cause of this is simple. Look at the revenue mix for the two major vendors that control the market for large enterprise. Their business is about professional services – not software tools. They are in business to sell you, their customer, as much professional services at the highest rates you can imagine. Legacy ETL technology is a bonanza to a company that sells your company services by the hour.

Even worse, they don’t offer you the right mix of services and technology. The integration was done to specification but it doesn’t seem to work. I guess we’ll just have to sell you additional consulting to do the data quality clean-up.

The five best practices in data integration break this model. Queplix turns the model upside down. By using advanced data virtualization, and pushing back at the legacy monopoly attached to your wallet, you can reduce your costs and speed your time to implementation.

More Stories By Derek Harris

Derek Harris Sr. is a senior technology writer and blogger with more than 20 years experience in journalism.

While covering a broad spectrum of technology segments, his focus is weighted on enterprise technologies in the data storage, security and infrastructure spaces.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...