BIG DATA, BIG BROTHER, BIG BOON!!!
Microsoft Azure and Big Data
Danut Rusu, Vlad Frasineanu, Andrei Badoi
“Our vision is to create innovative technology that is accessible to everyone and that adapts to each person’s needs. Accessible technology eliminates barriers for people with disabilities and it enables individuals to take full advantage of their capabilities.” – Bill Gates
Big Data and Cloud Computing
- What is Big Data?
- What is Cloud Computing ?
- How are these two connected to each other?
- How can they help us in our day by day lives ?
These are just a few questions that needs to be answered before we begin talking about our chosen subject.
Let’s start with Big Data. Is it really just data which is “big” (gigabytes, terabytes) ? Well, it is not. It’s about how to organize the data, how to label different parts from it, which technologies are used to store and retrieve it. It is a model of collecting, storing, handling and extracting from different kinds of data.
Cloud Computing represents the model of computing on the fly. Everything is dematerialized and there is no need for a specific setup or a certain computer in order to manage it. For instance, we can think about Dropbox or Google Drive. One can upload, download and access the files from everywhere in the world with just a simple device and an internet connection.
Now that we know the meaning of each concept, can we describe them with just one word ?
We could try and say that Cloud Computing represents the infrastructure and Big Data the content. Are they really connected ? Yes ! If it weren’t for the cloud computing, then we would not be able to process Big Data on normal machines.
Why Microsoft ?
“Microsoft’s mission is to enable people and businesses throughout the world to realize their full potential. We deliver by striving to create technology that is accessible to everyone—of all ages and abilities. Microsoft is one of the industry leaders in accessibility innovation and in building products that are safer and easier to use.” This is why we chose to write about Microsoft Azure.
What is Microsoft Azure ?
Microsoft Azure is a cloud computing platform created for building, deploying and maintaining different applications and services – analytics, computing, database, mobile, networking, storage and web – through a global network of Microsoft’s data centers. The software supports the broadest selection of operating systems, programming languages, frameworks, tools, databases and devices. For example, one can build apps for iOS, Android and Windows devices in any language.
Microsoft and Big Data
“Deliver better experiences and make better decisions by analyzing massive amounts of data in real time. Get the insight you need to deliver intelligent actions that improve customer engagement, increase revenue, and lower costs.”
Microsoft Azure brings together large volume of data from different areas. This data is used by companies in different industries, making them able to monitorize their performance and results, optimize and adapt their applications/products accordingly to users’ preferences and even predict in different situations the necessary maintenances/solutions. Azure makes the manipulation of data more efficient in increasingly complex and distinct environments.
Nowadays the world is taking a serious turn towards staying connected. So from here the term of Internet of Things (IoT) comes into use. As of 2016, the vision of the internet of things has evolved due to a convergence of multiple technologies, including ubiquitous wireless communication, real-time analytics, machine learning, commodity sensors, and embedded systems.
With this new concept, also the big tech leaders had a word to say. Microsoft has rolled out an IoT Suite for its Azure public cloud. To ease customers’ transition to IoT, Microsoft has a handful of preconfigured IoT templates, including one for customers to remotely monitor IoT devices, and another for rolling out predictive maintenance.
Malware is a leading cause of identity compromise, with its ability to run in the background and collect information such as usernames and passwords, and transmit them back to the attacker. With these credentials, an attacker can access, modify, or destroy your valuable data. If the compromised account has administrative privileges, the attacker can change system or account settings and do much more damage. Thus, an important element in keeping user identities secure is protecting them from the effects of malicious software.
Microsoft cloud services help you protect against malware threats in multiple ways. Microsoft Antimalware is built for the cloud, and additional anti-malware protections are provided in specific services.
Timeline and work distribution
Week 4 (30.09.2016): Project organization – fix project subject and find main bibliography, distribute main responsibilities ( Danut – introduction, Vlad – connection between big data and azure, Andrei – opportunities and threats, All – timeline and work distribution )
Week 5 (07.10.2016): Fix main ideas of the project and short description for each of them
Week 6 (14.10.2016): Add all together as a project proposal and create a timeline + proposal delivery
17.10.2016: Fix the new work distribution and start working on the main project
Week 7-10: Elaborate on all points and add them in the main project
Week 10 (11.11.2016): Deliver a first draft of the project (after elaborating each subject)
Week 11-12: Proofreading + project improvements
28.11.2016: Final project submission
Preliminary references and bibliography