Luke Lonergan - Big Data Developer, LLC

Luke Lonergan is a resident of San Carlos, CA, United States. He has completed his post graduate degree from Stanford University. He is a founder of Didera, a database clustering company. In 2000 he served as CEO and Chairman. Luke Lonergan’s background includes 16 years of management experience in computing technology ranging from innovations in big data, cloud computing to advances in medical imaging systems.

The Role Big Data Plays in Enterprise Collaboration - Luke Lonergan

It is important for every organization, and, indeed, every project to be able to manage data volumes that can be explosive. Tools of purging and archiving that are efficient are needed to deal with increasing volumes of data. However, when it comes to collaboration, the huge amounts of intelligence that are available from multiple sources need to be leveraged.

Consider any large project. It involves not only documentation that runs into millions but also several thousand people. More significantly, it involves a large volume of intelligence that includes internal communications, processes and raw information. Thanks to web-based technology and new mobile innovations that have to do with collaboration, data that can be shared with members of the project regardless of where they are is being captured easily. The overall intelligence aspect of any company depends upon its data.

When it comes to Big Data, new information is always flowing in, which means that new processes constantly need to be developed to deal with it. This leads to a bigger learning curve with each new process. All of this information, after all, makes up the intelligence of any organization and, if utilized effectively, can lead to accelerated project schedules, better project quality and more profitability.

Features of an Ideal Collaboration

There are several aspects that need to be looked into when it comes to collaboration such as safety, security, neutrality, central location, limitlessness and easily searchable.

One of the first things that come to mind is safety and security. The data that has been captured should not be accessible to unauthorized parties and should be protected from damage or alteration. A transparent audit should be done for all decisions and actions to support and secure the data.

Ensuring that Big Data is neutral means that there aren’t any ‘super-users’ controlling the access to the project data. Everyone who belongs to the project should have equal access to the data.

A service that is active and is the nexus point for all the project intelligence means that the Big Data is centralized. A firewall should surround the service so that external project members have limited access but authorized members would be allowed to exchange the data.

When it comes to uploading the data, there should be no limits on the amount of data, usage, number of files or any other factor. However, the data will need to be flexible and scalable so that it can be managed with total transparency.

If the data is searchable, one can search the repository of the data using various criteria. The repository should also be able to go through masses of data from various sources.

Luke Lonergan is a resident of San Carlos, CA, United States. He has completed his post graduate degree from Stanford University. He is a founder of Didera, a database clustering company. In 2000 he served as CEO and Chairman. Luke Lonergan’s background includes 16 years of management experience in computing technology ranging from innovations in big data, cloud computing to advances in medical imaging systems.

Strata 2012: Luke Lonergan, "5 Big Questions about Big Data"

How are businesses using big data to connect with their customers, deliver new products or services faster and create a competitive advantage? Luke Lonergan, co-founder & CTO, Greenplum, a division of EMC, gives insight into the changing nature of customer intimacy and how the technologies and techniques around big data analysis provide business advantage in today's social, mobile environment -- and why it is imperative to adopt a big data analytics strategy.

Cloud computing and the related abstractions - Luke Lonergan

The buzzword cloud computing still is considered a mystic feat in the field of Information Technology. What lies beneath this buzzword needs a high-end research on this topic. The abstractions in cloud computing is a relevant word to be analyzed.

Virtualization is the mother of cloud computing. In general applications worked in two –tier models and then evolved to three-tier models where the Interfaces, Data Models and the Framework of deployment are de coupled and worked in an efficient manner. This approach lead to the success of easy expansion, deployment and integration features for the application providers.

How is Cloud Computing abstract?

Let’s first consider a scenario. There is an academic business that runs different schools at different locations with slight difference in its individual operations. The IT department has the challenge of providing centralized access to information about all these campuses at the same time via a dashboard. They also plan to expand the business to a new territory where zero ground work has been started.

Now the kind of infrastructure that the system is going to deploy is not known, in the traditional environment, each campus runs an individual server system to maintain the data, and needs to be available to take centralized report on such data. To meet out all these challenges, a scalable, reliable, consistent, secured, networked infrastructure deployment and maintenance is essential. Instead of deploying a full-fledged physical network, the organization resolves to buy infrastructure services through the cloud. It purchases storage space, networking services, data hosting services, and the cloud based application to run all the work seamlessly without hassles via the Internet.

The business owner is not aware of where exactly the storage space is located physically but owns a subscription for the space till it is used. The business owner also uses the application that connects all the campuses via a private network to fetch data, process reports, save and modify data and delete if needed in the cloud without the knowledge on where exactly the software stack is deployed ( though it is traceable by the networking specialists).

Data availability factor despite link failures remains highly abstract. For example, if one of the business sites is down, an alternative link from a different back-up deployment region or zone is made available to the business owner that the change in the links of the sourcing site changes in the blink of an eye. This kind of downtime management is not only abstract but also very business friendly. 

Thus, cloud computing does work miraculously by keeping many essential details on the outward less messy and abstract so that the business for which it is deployed is run with smooth edges.

Article Published by Luke Lonergan

Proper Data Analysis Can Help Small Scale Enterprises - Luke Lonergan

In today’s world, the word “data” has been a staple in every other conversation that you tend to hear. Our love of technology and the web has allowed a rich amount of data to reach a global scale. Everything that we do creates scores of data that can be used for analysis. With the strains of social media and an increasingly technologically aware market, it has become part and parcel of strategic research for many companies.

Read more : Data Analysis Efficiency by Luke Lonergan