Understanding Big Data: 3Vs of Big Data

3Vs of Big Data – CeDAWI

3Vs (volume, variety and velocity) those best describe and characterize different aspects of Large-Scale Data Processing (Big Data).
Volume – refers to the amount of data and is measured in Mega-Bytes, Giga-Bytes, Terra-Bytes, Peta-Bytes, Exa-Bytes and today Zetta-Bytes (and Yotta-Bytes in far future). Currently Digital Universe produced from beginning of the humanity ius estimated around 4.5 ZBs.
Variety – refers to different forms and types of data available online and offline, including structured (Databases, XML, logs, …), semistructured (web pages, email, …), and unstructured (text, images, video, audio, …).
Velocity – refers to increasing speed of data production and consequently performance that data-driven businesses need in order to benefit from their data. The problem is not related with just storing of streams of data, but rather to transforming fast-flowing data into resource that fosters innovation and decision-making process.

Presentation on: Big Data Ecosystem for Data-Driven Decision Making

Big Data Day Baku 2015 – or Big Day on Big Data

Big Data Day Baku 2015 – CeDAWI – Center for Data Analytics and Web Insights

The extremely fast grow of Internet Services, Web and Mobile Applications and advance of the related Pervasive, Ubiquity and Cloud Computing concepts have stumulated production of tremendous amounts of data partially available online (call metadata, texts, emails, social media updates, photos, videos, location, etc.). Even with the power of today’s modern computers it still big challenge for business and government organizations to manage, search, analyze, and visualize this vast amount of data as information. Data-Intensive computing which is intended to address this problems become quite intense during the last few years yielding strong results. Data intensive computing framework is a complex system which includes hardware, software, communications, and Distributed File System (DFS) architecture.

Just small part of this huge amount is structured (Databases, XML, logs) or semistructured (web pages, email), over 90% of this information is unstructured, what means data does not have predefined structure and model. Generally, unstructured data is useless unless applying data mining and analysis techniques. At the same time, just in case if you can process and understand your data, this data worth anything, otherwise it becomes useless.

Big Data Day Baku 2015 is the first Data-Centric event is planned to be held in Azerbaijan.
The events main goal is increase public awareness of new opportunities and challenges brought by Big Data, share experience with industry and government on the development of state-of-the-art Data Analysis technologies, attract youth to make career and do outstanding research in Data Science.

SOME OF TOPICS TO BE COVERED:

• Big Data Era – How Big is Big Data?
• Big Opportunities and Challenges brought by Big Data – Big Data Use Cases
• Open Data for Public Sector Transformation and Innovation
• Big Data Infrastructure
• Open Source Platforms and Technologies for Big Data Analytics
• Natural Language Processing and Computational Linguistic
• Large-Scale Data Management Life Cycle

QUESTIONS TO BE ANSWERED:

• – What is Big Data Value?
• – How it will affect us all?
• – Big Data Era, but are we ready for challenges?

EVENT TARGET AUDIENCE:
Marketing specialists, Business owners, IT Professionals, Students (Participation of the students is highly encouraged), Scientists and Researchers, Government representatives

EVENT WEBSITE: http://cedawi.org/big-data-day

CIA triad – Fundamental concept of Information Security

Fundamental concept of Information Security base on Confidentiality, Integrity and Availability

Fundamental concept of Information Security base on Confidentiality, Integrity and Availability, also known as the CIA triad (don’t confuse with Central Intelligence Agency)
Confidentiality – Information only has value if access can be managed;
Integrity – Information only has value if it is correct;
Availability – Information only has value if the right people can access it at the right times.