Data Sharing is a unique feature of Snowflake that enables organizations to securely share data…
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Snowflake : Recognizes matches of a pattern in a set of rows (MATCH_RECOGNIZE)
Snowflake’s MATCH_RECOGNIZE is a powerful feature that allows users to identify patterns in data and extract meaningful insights. With MATCH_RECOGNIZE,…
Snowflake : Analyze data in a hierarchical manner (CONNECT BY)
Snowflake’s CONNECT BY is a powerful feature that enables hierarchical queries to be performed on data in a Snowflake database….
Snowflake : Data Sharing in Snowflake
Data Sharing is a unique feature of Snowflake that enables organizations to securely share data across different Snowflake accounts. This…
PySpark : PySpark program to write DataFrame to Snowflake table.
Overview of Snowflake and PySpark. Snowflake is a cloud-based data warehousing platform that allows users to store and analyze large…
Hive : Learn hive external functions and how can you use external functions in Hive?
Hive is built on top of Hadoop, which is a distributed file system and a framework for processing large data…
Hive : Hive custom input/output formats .How can you use custom input/output formats in Hive?
Introduction to Custom Input/Output Formats in Hive: Hive allows users to define custom input and output formats to read and…
Hive : How can you increase parallelism in Hive?
Introduction to Parallelism in Hive: Parallelism refers to the ability to execute multiple tasks simultaneously. In the context of Hive,…
Hive : How can you configure job scheduling in Hive?
To ensure that your Hive jobs run smoothly, it is important to configure job scheduling in Hive. Job scheduling allows…
Hive : How can you use RC file format (Record Columnar File) in Hive ?
RC File is a columnar storage format used in Hive for storing structured data. It is designed to optimize the…
Hive : Role of Hive type coercion and how can you perform type coercion in Hive?
In Hive, type coercion is the process of converting one data type to another data type during query execution. Type…