1st NoSQL Asia Event in Malaysia
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1st NoSQL Asia Event in Malaysia
- 1. Exploring The Technologies Behind Big Data Week Twitter :: @nosqlasia Hash-Tags :: #bdw13 #nosqlkl Facebook :: http://facebook.com/groups/nosqlkl
- 2. NoSQL Asia Sponsors Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl http://nosqlasia.org/sponsors
- 3. What is NoSQL Asia …? Mission Statement: It is the mission of NoSQLasia.org to provide free access to NoSQL news, event placement, product announcements and service promotion for individuals, companies and organizations throughout South East Asia Manifesto: http://nosqlasia.org/blog/nosql-asia-manifesto Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 4. Why me …? • Been living in Asia for over 15 years • Early adopter / evangelist for MongoDB • Established network of industry contacts • Experience running meet-ups / events • Experience presenting on stage • Enjoy sharing knowledge with others • Fanatical about OpenSource standards • Truly believe life is sweet beyond SQL • Tirath convinced me to do it !!! Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 5. Big Data Week :: Malaysian Partners Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl http://bigdataweek.com/kualalumpur
- 6. Big Data Week :: Final Event Tomorrow @ 2pm Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl http://www.amiando.com/bdw_kl_dj.html
- 7. Big Data :: Takes More Than a Week Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl http://facebook.com/groups/bigdatamy Created by:
- 8. How Big is Big …? -- According to IBM :: 90% of the World’s Data Created in The Last 2 Years -- Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 9. What is NoSQL …?
- 10. History Lessons Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl A LONG TIME AGO (1974) IN A GALAXY FAR, FAR AWAY ( the relational database was born )
- 11. Building Reports = Good Impedance Mismatch = Bad • Before needing multiple servers, there was the relational database … • This model is still good for reports, though often leads to impedance mismatch … Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 12. Then Came Web Apps Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 13. Research Papers & Hash-Tags • Google developed and discussed BigTable • Amazon developed and discussed DynamoDB • This inspired a new generation of solutions • Those developing these solution started a meet-up and needed a hash-tag • MongoDB, CouchDB, Cassandra all at that same meet-up and someone picked #nosql Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 14. Defining NoSQL with Characteristics • Non-Relational and OpenSource -- OR – • Cluster-Friendly and Schemaless -- AND – • 21st Century Hipster Qualities Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 15. Alternative Data Model Families • Key Value Stores (simplicity) Riak, Redis • Documents (rapid development) MongoDB, CouchDB, RavenDB ------------------------------------------------------------------------ • Column (inline indexing) Cassandra, HBase • Graphs (persistent relationships) Neo4j, Titan Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 16. What about Aggregate Orientated models…? • Key Values act as Documents with Meta Data • Documents act as Key Values with IDs • Both of these (and columns) aggregate data • But what about relationships and natural joins? • New wave of module database (ArangoDB / OrientDB) • Time-series databases such as KairosDB • More importantly, where does HyperDex fit in? Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 17. Then Came Trolls Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 18. Definitely Maybe Acidic • Consistency comes in many forms (logic and replication) • RDBMS = ACID (Atomic, Consistent, Isolate, Durable) • NoSQL = BASE (Basically Available, Soft-State, Eventually Consistent) • Scaling ACID compliant systems often looses true acidity • Graph databases require and bolster acidity • Aggregate orientation is designed NOT to have acidity • Offline locks through version numbers to the rescue! • ACID within a single Aggregate • Consistency Vs Availability Vs Response Time Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 19. CAP THEOREM 101
- 20. CAP THEOREM THE SEQUEL
- 21. Navigating Through HyperSpace Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 22. Search Index Sharding Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 23. The Future of Data • Distributed Designs (Spanner, Bitcoin) • Polyglot Persistence and Event Sourcing … • Domain driven design must be at forefront … Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 24. NoSQL Myths & Failures • Relational Databases are ACID Compliant • NoSQL Databases are NOT ACID Compliant • Aggregate Orientation is good until you want or need to change the basis of aggregation • Most environments have implicit schemas • Decisions, decisions - time is money Twitter :: @nosqlasia Facebook :: http://facebook.com/groups/nosqlkl
- 25. Exploring The Technologies Behind Big Data Week Twitter :: @nosqlasia Hash-Tags :: #bdw13 #nosqlkl Facebook :: http://facebook.com/groups/nosqlkl