BIG DATA HAS BECOME OF HIGH INTEREST IN RECENT YEARS DUE TO ACCESS TO LARGE SCALE DATA AND SIGNIFICANT ADVANCES IN LARGE SCALE DATA MINING AND DATA ANALYTICS. NATURALLY, AMONG WIDE RANGE OF APPLICATIONS OF BIG DATA ANALYTICS, MOBILE OPERATORS HAVE ALREADY SECURED A LARGE PART OF MARKET. ALTHOUGH EXTRACTING INFORMATION FROM MOBILE OPERATORS DATA IS BASED ON VARIOUS TYPES OF HETEROGENEOUS DATA GATHERED IN SUCH NETWORKS, ITS ROLE HAS SO FAR BEEN MAINLY RESTRICTED TO CONTENT EXTRACTION, CUSTOMER SEGMENTATION AND MONETARY OBJECTIVES. IN THIS WORK, WE WILL INVESTIGATE HOW BIG DATA CONCEPTS CAN LEAD TO PERFORMANCE IMPROVEMENT IN SUCH NETWORKS, A CONCEPT THAT UP TO NOW IS HARDLY EXPLORED IN SUCH NETWORKS.

BIG DATA HAS BEEN ONE OF HOTTEST TERMS OF THE PAST FEW YEARS. YET, BIG DATA AND BIG DATA ANALYTICS ARE USED IN SEVERAL DIFFERENT CONTEXTS TO REFER TO A WIDE RANGE OF SOLUTIONS AND TECHNOLOGIES. IN THIS ARTICLE, I WILL GO OVER THE HISTORY AND THE CURRENT TRENDS OF OPEN SOURCE BIG DATA TECHNOLOGIES AND ECOSYSTEMS STARTING FROM HADOOP AND HDFS TO RECENT DEVELOPMENT OF SPARK AND BLINKDB. I WILL EXPLAIN THE ADVANTAGES AND DISADVANTAGES OF SEVERAL KEY TECHNOLOGIES AND ALSO HOW THESE DIFFERENT TECHNOLOGIES FIT TOGETHER TO PROVIDE AN END-TO-END BIG DATA SOLUTION. I WILL GO OVER SOLUTIONS PROVIDED BY A FEW COMPANIES THAT PROVIDE ENTERPRISE BIG DATA SOLUTIONS BASED ON OPEN SOURCE PLATFORMS AS WELL. NEXT I WILL TALK ABOUT A COUPLE OF APPLICATIONS OF DATA MINING AND DATA ANALYTICS THAT ARE ENABLED BY THESE TECHNOLOGIES AND WILL INTRODUCE FEW SOLUTIONS THAT USE HADOOP AND SPARK TO PROVIDE BIG DATA MACHINE LEARNING AND DATA MINING TOOLS.

BIG DATA IS A MASSIVE VOLUME OF DATA THAT CAN’T BE PROCESSED EASILY USING TRADITIONAL TECHNIQUES. IN FACT, BIG DATA ANALYSIS REFERS TO THE CAPABILITY OF MANAGING A HUGE VOLUME OF HETEROGENEOUS DATA AT THE RIGHT SPEED, AND WITH SUITABLE SPEED TO ALLOW REAL-TIME PROCESSING. THE WORLD OF BIG DATA OFFERS A NEW SET OF CHALLENGES AND OBSTACLES. THE MAIN CHALLENGE IN THIS AREA IS ANALYZING, PROCESSING AND SEARCHING IN LARGE VOLUME OF DATA FOR THE PURPOSE OF SHARING, STORAGE, AND TRANSFER OF DATA IN A SECURE MANNER. IN SHORT, THE TERM BIG DATA APPLIES TO THE CASE OF INFORMATION THAT CAN’T BE PROCESSED OR ANALYZED USING TRADITIONAL PROCESSES OR TOOLS. INCREASINGLY, ORGANIZATIONS TODAY ARE FACING MORE AND MORE BIG DATA CHALLENGES. BIG DATA ANALYSIS AND THE PREDICTION OF FUTURE OUTCOMES BASED ON THE RESULTS OF ANALYSIS OBTAINED HAVE FOUND APPLICATIONS IN BUSINESS, FINANCE, HEALTHCARE, ETC. SIMILARLY BIG DATA ALSO HAVE RECENTLY FOUND ITS WAY TO FIGHT CRIME. BIG COMPANIES LIKE IBM, DELL, GOOGLE, MICROSOFT INVEST BILLIONS OF DOLLARS IN RESEARCH AND DEVELOPMENT OF BIG DATA TECHNOLOGIES. THE DEVELOPERS HAVE THEIR OWN COMMUNITIES FOR TECHNOLOGIES LIKE HADOOP, NOSQL, REAL TIME, MACHINE LEARNING, ETC. MUCH SUCCESS HAS BEEN ACHIEVED ALREADY IN TERMS OF DEVELOPING AND DEPLOYING TECHNOLOGIES WHICH HELP COMBAT CRIMES. BIG DATA WILL INCREASINGLY INFORM EVERYDAY POLICING AND CYBER SECURITY EFFORTS. LAW ENFORCEMENT OF ALL KINDS, STATE AND LOCAL, ARE MAKING USE OF BIG DATA PRACTICES TO PINPOINT POTENTIAL CRIME HOT SPOTS OR PREDICT HOUSES THAT COULD BE BURGLARIZED. BESIDES CUTTING BACK ON VIOLENT CRIMES AND ROBBERIES, BIG DATA IS ALSO BEING USED TO IDENTIFY WHITE COLLAR CRIMINALS WHO ARE INVOLVED IN FINANCIAL CRIMES SUCH AS INSURANCE FRAUDS, INSIDER TRADING, MONEY LAUNDERING AND HEALTHCARE FRAUD. CYBER-ATTACKS OF ALL KINDS ARE ON THE RISE. ONE WAY TO DEFEND AGAINST THESE ATTACKS IS TO USE BIG DATA TO BECOME AWARE OF CYBER-ATTACKS AND TO FIND VULNERABILITIES TO DEFEND AGAINST AN ATTACK. RESEARCHERS IN COMPUTATIONAL SCIENCE, INFORMATION SYSTEMS, SOCIAL SCIENCES, ENGINEERING, MEDICINE, AND MANY OTHER FIELDS HAVE BEEN CALLED UPON TO HELP ENHANCE OUR ABILITY TO FIGHT VIOLENCE, TERRORISM, CYBERCRIMES, AND OTHER CYBER SECURITY CONCERNS. IN THIS SEMINAR, WE TRIED TO INTRODUCE BIG DATA AS WELL AS ANALYZING THE APPLICATION OF BIG DATA AND ITS REVOLUTION TO COMBAT CRIMES.