NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages

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This webinar will cover the latest trends in advanced query languages for NoSQL databases. We’ll look at how innovations in vendor-independent standardized query languages allow NoSQL developers to query multiple types of data and multiple NoSQL databases using a single query language. We’ll see how using the right NoSQL query language promotes portability across multiple NoSQL databases, avoids vendor lock-in, and keeps your developers productive at the same time. We will be interviewing Matthias Brantner from 28msec and see on how they use JSONiq as a basis for a modern ETL framework that works on a diverse number of data sources.

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NoSQL Now! Webinar Series: Innovations in NoSQL Query Languages

  1. 1. NoSQL Advanced Query Languages Using specialization and standards to drive NoSQL database selection Host: Dan McCreary, Kelly-McCreary & Associates Guest: Matthias Brantner, 28msec
  2. 2. 2Kelly-McCreary & Associates Reminder • Registration is open! • Preview of many of the topics being discussed at the conference • Link: http://nosqlnow.com/
  3. 3. 3Kelly-McCreary & Associates Summary This webinar will cover the latest trends in advanced query languages for NoSQL databases. We’ll look at how innovations in vendor- independent standardized query languages allow NoSQL developers to query multiple types of data and multiple NoSQL databases using a single query language. We’ll see how using the right NoSQL query language promotes portability across multiple NoSQL databases, avoids vendor lock-in, and keeps your developers productive at the same time. We will be interviewing Matthias Brantner from 28msec and see on how they use JSONiq as a basis for a modern ETL framework that works on a diverse number of data sources.
  4. 4. 4Kelly-McCreary & Associates About Us • Working with NoSQL since 2006 • Co-founders of the NoSQL Now! conference • Authors of Manning book on NoSQL (MEAP now, print June 2013) • Guide for managers with a focus on business benefits • Focus on NoSQL architectural tradeoff analysis • Published a variety of research papers on the general topics of query processing and optimization • Expert on XML and JSON query languages • Studied Information Systems at the University of Mannheim and acquired a PhD based on his research on "Rewriting Declarative Query Language" • Has more than 15 years of experience in database and query technologies
  5. 5. High Level NoSQL Patterns Relational Analytical (OLAP) Key-Value Column-Family DocumentGraph key value key value key value key value 5
  6. 6. Query Languages Relational: SQL Analytical: MDX (Cubes, Categories, Measures) key value key value key value key value Key Value Store: None (PUT, GET, DELETE) Column Family: HIVE, PIG Graph: SPARQL, proprietary Document: XQuery, JSONiq
  7. 7. Distributed Computing = Distributed Queries Traditional: Send data between nodes for "distributed joins" NoSQL: Send queries to each node CPU Disk Query Node CPU Disk CPU Disk CPU Disk CPU Disk Query Response Data Nodes
  8. 8. Do we need 75 APIs? "If we have 75 NoSQL databases with 75 different APIs the NoSQL movement will never become mainstream." Michael Stonebreaker http://cacm.acm.org/blogs/blog-cacm/99512-why-enterprises-are-uninterested-in-nosql/fulltext http://hpts.ws/papers/2011/sessions_2011/Stonebraker.pdf 8
  9. 9. SQL is a Platform App1 App2 App3 RDBMS1 RDBMS2 RDBMS3 SQL ODBC, JDBC Third Party Applications 9
  10. 10. NoSQL is Not Yet a Platform App1 App2 App3 NoSQL1 NoSQL2 NoSQL3 ? Third Party Applications Can NoSQL have a standard API or query language? 1 0
  11. 11. 11Kelly-McCreary & Associates Types of Data Read Mostly Read/Write Structured Unstructured Transactional RDBMS BI/DW Web Crawlers Documents Log Files XML JSON Binary Open Linked Data Graph
  12. 12. 12Kelly-McCreary & Associates Diverse Needs of Databases • Security and RBAC • Transaction Control • Analysis - Aggregates • Search and Findability – XQuery fulltext, Lucene • Spatial Queries • Control over Clusters and Remote Data Centers • fast vs. reliable for both reads and writes • Consistency vs. Availability
  13. 13. 13Kelly-McCreary & Associates Metcalf's Law and Standards • Standards lower IT costs • Standard tools • Standard libraries • Standard training XML RSS XForms REST
  14. 14. Many Interfaces or One? 14 DB4 DB1 DB2 DB3DB5 DB6 Db7 App DB1 DB2 DB3 DB4 DB5 DB6 DB7 Std App Send Data to Nodes or Queries to Nodes?
  15. 15. 15Kelly-McCreary & Associates Standards Drive Lower Costs • Consistent data formats • Standardize with public data • Example: postal code address standards • Open linked data • Data consistency • Social network verifiability • Standardized tools • Standardize rules • XML Schema
  16. 16. 16Kelly-McCreary & Associates Service Insulation • Services separate applications from databases Corporate Data Services App1 App2 App3 NoSQL1 NoSQL2 NoSQL3
  17. 17. 17Kelly-McCreary & Associates Adaptors Are Inevitable! • One library runs on may browsers – don't use proprietary APIs! HTML Page 1 HTML Page 2 HTML Page 3
  18. 18. 18Kelly-McCreary & Associates De facto Standards • Some interfaces achieve a dominant position by public acceptance or market forces (such as early entrance to the market). • Example: Amazon S3 http://en.wikipedia.org/wiki/De_facto_standard
  19. 19. 19Kelly-McCreary & Associates Standard for Key-Value Stores • Note: APIs are simple but security models are non-trivial App1 App2 S3 API (PUT, GET, DELETE) S3 Security Models App3
  20. 20. 20Kelly-McCreary & Associates Challenges with Adaptors • Added complexity • Debugging • Match of semantics • Performance concerns • Added level of indirection • Native interfaces are always faster • Training • What standard can you use? • Security • Variety of security models for data access
  21. 21. 21Kelly-McCreary & Associates One Language for All http://xsparql.deri.org/ SQLXQuery/JSONiq Graph XSPARQL Key-Value Library
  22. 22. 22Kelly-McCreary & Associates One Database, Many Interfaces ODBC, JDBC SPARQL Document Store Triple Store TablesKey Value Store Future DB get, put XQuery JSONiq
  23. 23. Standards/Diversity Leadership Standards Diversity SQL NoSQL ideal world 23
  24. 24. Many Types of Data
  25. 25. Goal: One Language
  26. 26. JSONiq
  27. 27. 27Kelly-McCreary & Associates Summary 1. NoSQL solutions use many diverse data formats from simple key- value pairs to complex documents 2. NoSQL today has limited third party developers and limited use by large companies due to concerns about application portability 3. New "common query languages" like JSONiq can handle multiple sources in a single robust query language 4. Find out more at the NoSQL Now! conference
  28. 28. 28Kelly-McCreary & Associates See Matthias In Person! Do More with MongoDB and JSONiq Matthias Brantner CTO 28msec, Inc. http://nosql2013.dataversity.net/sessionPop.cfm?confid=7 4&proposalid=5522 • Link: http://nosqlnow.com/
  29. 29. 29Kelly-McCreary & Associates References • JSONiq Language Specification: http://jsoniq.org • Demo queries used during the webinar: http://28.io/demo • Free JSONiq book: http://www.28.io/jsoniq-the-sql-of-nosql/ • 28msec Twitter: http://twitter.com/28msec • 28msec Blog: http://28.io/blog • Full Text Search Specs: http://www.w3.org/TR/xpath-full- text-10/

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