A powerpoint presentation for the topic AST_Emerging-Tech-BIG-DATA
LarahSoco
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12 slides
May 07, 2024
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About This Presentation
AST_Emerging-Tech-BIG-DATA.pptx
Size: 1.74 MB
Language: en
Added: May 07, 2024
Slides: 12 pages
Slide Content
Big Data may well be the Next Big Thing in the IT world. Big data burst upon the scene in the first decade of the 21st century. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, Linkedin , and Facebook were built around big data from beginning
What is Big data Big Data' is like 'small data', but bigger in size but having data bigger it requires different approaches: Techniques, tools and architecture an aim to solve new problems or old problems in a better way
Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
Example: Walmart handles more than 1 million customer transactions every hour. • Facebook handles 40 billion photos from its user base. • Decoding the human genome originally took 10years to process; now it can be achieved in one week.
Volume - refers to the vast amount of data generated and collected from various sources. Velocity - refers to the speed at which data is generated, collected, and processed Variety - refers to the different types and sources of data available Veracity - refers to the quality and reliability of the data Value - refers to the ability to derive meaningful insights, knowledge, and actionable outcomes from the data. 5 Vs of Big Data
How Big Data works? 1. Integrate 2. Manage 3. Analyze
1. Data-driven decision making 2. Improved customer insights 3. Enhanced operational efficiency 4. Innovation and new business opportunities 5. Competitive advantage Advantages:
1. Data privacy and security concerns 2. Complexity and scalability challenges 3. Quality and reliability issues 4. Costs and resource equipment 5. Ethical implications Dis-a dvantages:
Summary: Big data refers to the massive volume, variety, and velocity of data generated from various sources. By analyzing this data, organizations can gain valuable insights to make informed decisions, enhance operations, and drive innovation.