Additional approximate query processing:APPROX_COUNT, APPROX_SUM, APPROX_RANK Analytic Views now support MDX (Multi-Dimensional Expression) query language Overall, the SQL analytic functions and features in Oracle Database 18c make it the most effective platform for delivering analytical results directly...
Offers pivot tables to summarize data and operate functions, such as sum, count, and other metrics, in a tabular format Extracted visualizations help present a variety of creative solution. 9. Apache Flink – Powerful Stream Processing and Batch Processing Framework Apache is known for providing to...
Decode the result from row_number over, partition by, order by : ROW_NUMBER « Analytical Functions « Oracle PL / SQL
DENSE_RANK()rank items, leaves no gaps when there is a tie : DENSE_RANK « Analytical Functions « Oracle PL / SQL
The analytical store representation will have two columns,id, andmyArray. You can use Spark or T-SQL functions to also expose the nested structures as columns. JSON {"id":"1","myArray": ["string1","string2", {"nested1":"abc","nested2":"cde"} ] } ...
One of the proof points that I often make for using analytical SQL over more sophisticated SQL-based methods is that we have included specific optimizations within the database engine to support our analytical functions. In this blog post I am going to b
2) Based on capacity: Set the number of records stored in the cache. 3) Time based TTL (Time To Live) is the time from creation to expiration of cached data. TTI (Time To Idle, the idle period) how long the cached data has not been accessed. ...
Support for JSON functions and storage We're planning on adding the JSON datatype to Seafowl, as well as a suite of functions to manipulate/access JSON data, similar to the functions supported by PostgreSQL . PostgreSQL-compatible endpoint This will make Seafowl queryable by existing BI tools ...
This is used as a Helm dependency from the tobs Helm chart and can be used as a dependency in your own custom Helm chart as well. 🔍 Analyzing the data using SQL We describe how to use our pre-defined views and functions to work with the prometheus data in the SQL schema doc. A...
so crack open your favorite energy drink and let's chat. Today I'll be talking about something that I've seen a number of requests for from our internal discussion groups that support engineers have posted asking on behalf of their customers. In su...