Table for two? Hybrid approach to developing combined SQL, NoSQL applications on IBM Informix.
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Informix embraces the NoSQL by implementing flexible schema via JSON, sharding and MongoAPI. Additionally, data in sql tables and JSON collections can by accessed by any API and use the power of the RDBMS engine.
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Covers, workbench, visual explain, Schema inferencing enhancements in Couchbase 5.0.
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Yes! SQL can most-definitely be used to query JSON with Couchbase's SQL query language for JSON called N1QL (verbalized as Nickel.)
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We will discuss utilizing SQL to query complex JSON objects that include arrays, sets and nested objects.
You will learn about the powerful query expressiveness of N1QL, including the latest features that have been added to the language. We will cover how using N1QL can solve your real-world application challenges, based on the actual queries of Couchbase end-users.
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Abstract
NoSQL databases bring the benefits of schema flexibility and
elastic scaling to the enterprise. Until recently, these benefits have
come at the expense of giving up rich declarative querying as
represented by SQL.
In today’s world of agile business, developers and organizations need
the benefits of both NoSQL and SQL in a single platform. NoSQL
(document) databases provide schema flexibility; fast lookup; and
elastic scaling. SQL-based querying provides expressive data access
and transformation; separation of querying from modeling and storage;
and a unified interface for applications, tools, and users.
Developers need to deliver applications that can easily evolve,
perform, and scale. Otherwise, the cost, effort, and delay in keeping
up with changing business needs will become significant disadvantages.
Organizations need sophisticated and rapid access to their operational data, in
order to maintain insight into their business. This access should
support both pre-defined and ad-hoc querying, and should integrate
with standard analytical tools.
This talk will cover how to build applications that combine the
benefits of NoSQL and SQL to deliver agility, performance, and
scalability. It includes:
- N1QL, which extends SQL to JSON
- JSON data modeling
- Indexing and performance
- Transparent scaling
- Integration and ecosystem
You will walk away with an understanding of the design patterns and
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- 2. NoSQL We don't need no transaction We don't need no ACID control No schema in the tables No limit to the scale out DBA, leave them JSON alone Hey DBA, leave them JSON alone All in all it's just another data in the BASE All in all it’s just another shard into cloud. …With apologies to Roger Waters
- 3. Data model should not restrict Data Access
- 4. Access to relational tables & JSON Collections Relational Table SQL API Standard ODBC, JDBC, .NET, OData, etc. Language SQL. MongoDB Java, API (NoSQL) Mongo APIs for C#, etc. Javascript, C++, JSON Collections Direct SQL Access. Dynamic Views Row types Mongo APIs for Java, Javascript, C++, C#, etc.
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