Big Data.pptx
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This presentation talks about big data, what it is, how we can use it, and what technologies we can use to handle it.
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Big Data.pptx
- 1. By: Milind Zodge Big Data
- 2. Agenda 2 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 01 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 02 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 03 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 04 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 05 Agenda This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. 06 Milind Zodge
- 3. What is Big Data 3 Big data is characterized by large volumes of different types of data (e.g. Social, web, transaction, etc.) That builds very quickly. It exceeds the reach of commonly used hardware environments and software tools to capture, manage and process in a timely manner for its users. Big Data Milind Zodge
- 4. How Big is Big Data 4 Number of emails sent every second 2.9 Million Data consumed by households each day 375 Megabytes Video upload to YouTube every minute 20 Hours Data per day processed by Google 24 Petabytes Tweets per day 50 Million Total minutes spent on Facebook each month 700 Billion Data sent and received by mobile internet users 1.3 Exabytes Products ordered on amazon per second 72.9 Items Milind Zodge
- 5. Big Data Market Forecast 5 $32.1 $48.0 $ 5.1 $10.2 $16.8 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 2020 04 2021 05 2017 01 2018 02 2019 03 Milind Zodge
- 6. Sources of Big Data 6 This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Click stream This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Social network This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Sensors This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Html This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Images & Media This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Database This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Locations This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Email Milind Zodge
- 7. Sources of Big Data 7 Media Media and communication outlets (articles, podcasts, audio, video, email, blogs) Social Digital material created by social media (text, photos, videos, tweets) Machine Data generated by computers and machines generally without human intervention (business process logs, sensors, phone calls) Historical Data about our environment (weather, traffic, census) and archived documents, forms or records Milind Zodge
- 8. 3 Vs of Big Data 8 3 Vs of Big Data Volume Variety Velocity Terabytes Records Transactions Tables, files Batch Near time Semi structured Streams Structured Unstructured Semi structured All the above Milind Zodge
- 9. Objective of Big Data 9 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Analyzing customer behavior This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Combining multiple data sources This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Improving customer service This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Generate additional revenue This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Be more responsive to the market Objective of Big Data Milind Zodge
- 10. Big Data Technologies 10 Machine learning This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Crowd sourcing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Natural language processing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Genetic algorithm This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Simulation This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Data fusion This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Signal processing This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Time series This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Data integration This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Big Data Technologies Milind Zodge
- 11. Big Data Workflow 11 Email Click stream Html Social Location Database Sensor data Images Actionable intelligence Big Data This slide is 100% editable. • This slide is 100% editable. Adapt it to your needs and capture your audience's attention • This slide is 100% editable. Adapt it to your needs and capture your audience's attention • This slide is 100% editable. Adapt it to your needs and capture your audience's attention Milind Zodge
- 12. Four Phases of Big Data 12 This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Decide This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Design This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Deposit This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Discover 04 01 03 02 Milind Zodge
- 13. Forms/ Type of Big Data 13 Structured 01 Enterprise systems Data warehouses Databases Unstructured 02 Audio/ video streams Analog data GPS tracking information Semi-Structured 03 Xml E- Mail EDI Data that does not reside in fixed locations generally refers to free-form text, which is ubiquitous. Data that resides in fixed fields within a record or file. Between the tow forms where “tags” or “structure” are associated or embedded within unstructured data. Milind Zodge
- 14. Data Analytics Process 14 Data This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Decision This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Info This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Insight This slide is 100% editable. Adapt it to your needs and capture your audience’s attention. Milind Zodge
- 15. Impact of Big Data 15 Sports predictions Big data was used in 2012 to famously predict the US would win 108 medals in the summer Olympics. They won 104. Easier commutes Big data streamlines traffic, using data from GPS systems. Traffic lights now react to traffic conditions, weather & accidents. Smartphones Smartphone users utilize big data when asking for directions & verbally asking their phone questions. Advanced healthcare Big data is used to predict where outbreaks of potentially epidemic viruses will occur. Presidential campaigns Statistician Nate silver used big data to predict the outcome of the 2012 presidential election. Personalized advertising Big data is used to recommend purchases & personalized ads more relevant. How is Big Data ? Milind Zodge
- 16. Benefits of Big Data 16 Better business decision making Improved customer experience and engagement Achieved financial savings Increased efficiency 30% 50% 70% 90% Milind Zodge
- 17. Future of Big Data 17 Milind Zodge
- 18. Big Data Opportunities and Challenges 18 30% 30% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. 55% 55% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. 75% 75% of companies looking for skills in advanced analytics/ predictive analytics in the next 12 months. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. This Slide Is 100% editable. Adapt It To your needs and capture your audience’s attention. Milind Zodge
- 19. 19 • External data coming from various data vendors like weather data, stock data • Have to worry about streaming hot data load • Structured cold data coming from ERP systems • Running big batch data load one a month • Unstructured Data from scrappers, social media STRENGTH! Milind Zodge
- 20. Big Data Opportunities and Challenges 20 Lack Of Sufficiently Skilled IT Staff & Cost Of Technology Managing Data Quality Data Integration Milind Zodge
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