#Connecting to odbc manager in php drivers

Many tools do not allow periods in column names, so where needed, the CData drivers will create temporary schema definitions in memory to enable connectivity from such tools. For example, to access the WindshieldWiper field of the Indicator object, you would refer to the column. Object FlatteningĬData drivers flatten objects using a dot notation to represent the original hierarchical structure. How do the CData drivers create the SQL interface for JSON data? As we explain, we’ll refer to the above sample document. Since the CData drivers translate to pure SQL++, they are able to leverage the powerful server-side processing capabilities of the Analytics service. Since the user has no control over the query generated, these differences mean that a SQL to SQL++ translation is not only critical, but necessary for performing BI, analytics, and reporting in SQL-based tools. While the differences between the SQL and SQL++ queries may seem small, they are exaggerated when working with tools that generate SQL queries based on a graphical user interface (like Tableau). ` ModelType `, COUNT ( * ) AS ` total ` FROM ` cars ` GROUP BY ` cars `.

That SQL query will be translated to SQL++ by the CData driver. For example, given a sample ‘cars’ document, you could expect Tableau to generate a SQL query. This is especially critical for tools that generate SQL queries internally to request data from the connected data sources. Through innovative flattening techniques and a powerful, built-in SQL engine, CData drivers seamlessly translate SQL queries into SQL++, leveraging the server-side capabilities of Couchbase Analytics to provide real-time data for BI and analytics. The CData Drivers for Couchbase provide a SQL interface for NoSQL data sources, like Couchbase Analytics. With the CData drivers, any BI tool that supports SQL-based connectivity (like Tableau, Power BI, MicroStrategy, Excel, and more) will be able to visualize data stored in Couchbase Analytics.Īs an example, I’ve enclosed a screenshot of a visualization in Tableau of data coming from Couchbase Analytics. Many of the popular visualization tools don’t natively support JSON integration but do support connectivity through standard technologies like JDBC, ODBC, or ADO.NET. N1QL for analytics: It’s the first commercial implementation of the SQL++ language for querying schemaless semi-structured JSON data Workload isolation: Run ad hoc queries without impacting application performanceĪd hoc querying: Business users can explore data and perform complex joins and aggregations

NoETL for NoSQL: Process JSON data in its natural form without any transformation or schema design Plus, our massively parallel processing (MPP) query engine lets users run ad-hoc analytical queries that deliver faster insights without impacting performance.Ĭouchbase Analytics reduces the time to insight on operational data by providing these key features:įast ingest: Make data available for analytical processing in milliseconds Couchbase Data Platform now supports hybrid transaction/analytical processing (HTAP) workloads.

Connecting to odbc manager in php