Here's your Data + AI Summit 2024 - Warehousing & Analytics recap as you use intelligent data warehousing to improve performance and increase your organization’s productivity with analytics, dashboards and insights. Keynote: Data Warehouse presente...
I would like to know why and when I will do a Z-Ordering on my Delta table?
Apache Spark does not have the features of a relational database wherein you can do a search on a primary key for example. It is forced to read in 100% of the data (generally speaking), which hurts performance at Gigabyte+ scales and test every singl...
If the external dataset is registered in the Hive metastore then yes.
Yes. You can use the Databricks SQL REST API to do so. https://docs.databricks.com/sql/api/query-history.html
After testing this. I was unable to create a global temporary view on a SQL Endpoint. I was able to create a temporary view for that session as well as a normal view. So while the global temp view seems to be unsupported there are a number of other o...
Unfortunately, no. There is not a way to change the default database in DBSQL.
No, currently views are only available to other tables in the pipeline. However, tables are persisted outside of the pipeline.
You can do this via the "Share" option in the dashboard and define the appropriate permission - Can Run vs Can Manage from there
You could turn off auto-complete which would stop queries being suggested in the editor . More details at https://docs.databricks.com/sql/user/queries/queries.html#auto-complete
can I know How can I create and use index in databricks
partitioning could be seen as kind of index - it helps you to directly query the folder in partition which has relevant data leaving all other partition folder untouched. there is another feature in data bricks Delta - Data Skipping. When writing d...
Spark SQL was designed with an optimizer called Catalyst based on the functional programming of Scala. Its two main purposes are: first, to add new optimization techniques to solve some problems with “big data” and second, to allow developers to expa...
AVRO is a row-based storage format whereas PARQUET is a columnar based storage format.PARQUET is much better for analytical querying i.e. reads and querying are much more efficient than writing.Write operations in AVRO are better than in PARQUET.AVRO...
Data
Glow is an open-source toolkit for working with genomic data at biobank-scale and beyond. The toolkit is natively built on Apache Spark, the leading unified engine for big data processing and machine learning, enabling genomics workflows to scale to ...
Currently I don;t think this feature is available , however their can be workaround
