Little Steps to BIG Data
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Aptera is a Microsoft Gold Partner based in Fort Wayne, Indiana, celebrating 10 years in the industry, specializing in custom .NET applications and cloud services among others. The document discusses the concept of big data, highlighting its characteristics through the 3 V's: velocity, variety, and volume, while providing use cases for organizations to effectively utilize big data. It also identifies challenges such as business alignment and access to data that organizations may face in big data projects.
Little Steps to BIG Data
- 2. Who Is Aptera? • Microsoft Gold and Managed partner headquartered in Fort Wayne, Indiana • Celebrating 10 years of service this year • #1 Sitefinity Platinum partner in the world • Over 70 talented employees specializing in: • Custom .NET applications • SharePoint (SDPS) • Business Intelligence (SSDPS) • Mobile • Cloud Services • Website development and design • BizTalk • Project Management
- 3. Who Is Aptera? • WC3 Awards winners • Communicator Award winners • One of Indiana’s 50 Companies to Watch • Business Week’s Top 100 Inner City Companies • Great atmosphere • Great leadership • Great opportunities to grow
- 4. Who Is Aptera? •We are hiring! • For what? See previous slide!
- 6. - Top Customer Workloads and Scenarios Saved VM State Extended Primary Additional primary data stored in Azure Cloud Snapshots Copy of full data and incremental snapshots Snapshot Primary Volume Servers StorSimple Cloud-Integrated Storage (CIS) Windows Azure LOB Application
- 7. Big Data… Huh? What is Big Data? • The term “Big Data” is only somewhat appropriate… why? • Not necessarily “big” • Unstructured… what does that mean? • Used to structured data • Tables • Rows • Columns • Typed Data
- 8. Big Data… Huh? What is Big Data? • No clearly defined relationships • Usually “chunks” of text, but within the text can be dates, numbers, etc • Potential implied structure • Think “Mash-Ups”
- 9. Big Data… Huh? The 3 V’s of Big Data • Velocity • The speed at which data is created, stored, analyzed, and visualized • Every minute • 100 hours of video uploaded to YouTube • 200 million emails are sent • 20 million photos are viewed on Flickr • 300,000 tweets are sent • 2.5 million queries on Google are performed. • Many organizations must cope with large amounts of real time data
- 10. Big Data… Huh? The 3 V’s of Big Data • Variety • Structured, semi-structured, unstructured • Multiple or No set data types • Good bye standardized rows and columns • Hello mash-ups from amorphic “globs” of data
- 11. Big Data… Huh? The 3 V’s of Big Data • Volume • “90% of all data created in last 2 years” - Mark Van Rijmenam • Amount of data will double every couple of years
- 12. How can Big Data help my organization? Use Case! • Get to know your customers • … all of them • … right now
- 13. How can Big Data help my organization? Use Case! • Personal Personalization • Manage customer facing content based on information specific to them.
- 14. How can Big Data help my organization? Use Case! • Find new markets • Identify opportunities • Identify risks
- 15. How can Big Data help my organization? Challenges • Business Alignment • “Cool” Projects Fail • Because it’s cool is not the best reason to engage in a big data project • Lack of Access • If you can’t get to the right data sets, or they don’t exist, you won’t get far • Small Knowledge Base • Very new approaches • Very new technologies • Low level development
- 16. HDInsight What is HDInsight • Hadoop • HDFS • Map/Reduce … ummmm what? • HIVE • HIVEQL
- 17. HDInsight What Is Power BI • Power Query (Data Explorer) • Power Pivot • Power Map (GeoFlow) • Power View • Power BI Sites • Natural Language Query Q&A • Power BI Mobile Apps