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Warehousing & Analytics
Engage in discussions on data warehousing, analytics, and BI solutions within the Databricks Community. Share insights, tips, and best practices for leveraging data for informed decision-making.
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Data + AI Summit 2024 - Data Warehousing, Analytics, and BI

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MadelynM
by Databricks Employee
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[Recap] Data + AI Summit 2024 - Warehousing & Analytics | Improve performance and increase insights

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...

Screenshot 2024-07-03 at 10.15.26 AM.png
Warehousing & Analytics
AI BI Dashboards
AI BI Genie
Databricks SQL
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Anonymous
by Not applicable
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sajith_appukutt
Honored Contributor II
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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

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User16826994223
by Honored Contributor III
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how to create an Indexes for Databricks tables

can I know How can I create and use index in databricks

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User16826994223
Honored Contributor III
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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...

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User16826994223
by Honored Contributor III
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User16826994223
Honored Contributor III
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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...

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User16826994223
by Honored Contributor III
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User16826994223
Honored Contributor III
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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...

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User16826994223
by Honored Contributor III
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Resolved! what is glow in genomics

Data

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User16826994223
Honored Contributor III
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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 ...

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Anonymous
by Not applicable
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User16826994223
Honored Contributor III
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Currently what they see is what they have access too.In regular databases there are 3 layers to the structure database.schema.object. you can normally restrict ACLs by schema as a namespace. We currently don't have schema as an option, it's just data...

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Anonymous
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User16826994223
Honored Contributor III
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At the moment I’m pretty sure you’d need metastore tables pointing to the data on ADLS. See USING data_source section: https://docs.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table-using#parameters

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Anonymous
by Not applicable
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User16826994223
Honored Contributor III
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from an expert -tldr is that we want to support the critical mass of common charts ootb -- a user shouldn't have to import a new library to use something super common & should be able to benefit from DB provided capabilities. that being said, we know...

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Anonymous
by Not applicable
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User16783853906
Contributor III
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Databricks SQL provides a simple experience for SQL users who want to run quick ad-hoc queries on their data lake, create multiple visualization types to explore query results from different perspectives, and build and share dashboards.

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Anonymous
by Not applicable
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User16783853906
Contributor III
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DBSQL supports the following types of query caching which can help with the query performance -1). Databricks SQL UI caching2). Query results caching3). Delta cachingPlease check here for details -https://docs.databricks.com/sql/admin/query-caching.h...

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Anonymous
by Not applicable
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User16783853906
Contributor III
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You can use scheduled query executions to keep your dashboards updated or to enable routine alerts. By default, your queries do not have a schedule. Please refer to the following link to look at the details of how to schedule a query - https://docs.d...

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Anonymous
by Not applicable
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User16783853906
Contributor III
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DBSQL supports the following types of query caching which can help with the query performance - 1). Databricks SQL UI caching2). Query results caching3). Delta cachingPlease check here for details - https://docs.databricks.com/sql/admin/query-caching...

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