Code Utilities
BigQuery & Spark: Efficient Data Handling with Partitioning & Incremental Loading
Efficient data handling is crucial for maintaining performance and scalability in big data applications. Partitioning and incremental data loading are key techniques for optimizing data storage and processing in the BQ and Spark processes. This guide will walk you through the concepts,…
Connection Utils
2. The first argument passed to the function is the name of the connection, which is "myConnection" in this case.
Event Store Utils
This article explores the functionalities provided by the synutils.eventstore module in the Syntasa application. These utilities offer functionalities to write data and files to an Event Store using Python.
FileSystem Utils
Syntasa provides a set of utilities for interacting with the filesystem through Python and Scala code. These utilities offer functionalities like listing files, reading file contents, copying, moving, uploading, creating directories, renaming files, and checking existence.
Notification Utils
Syntasa provides a notification utility function called sendNotification to send email notifications. This function is part of the synutils.notification module.
Secret Utils
Syntasa provides a utility class, synutils.secret, for securely retrieving sensitive credentials like Google Project ID, Google Cloud credentials, AWS Access Key, and AWS Secret Key. These credentials are essential for various tasks within the Syntasa application, such as interacting with Google…
Spark Utils
Spark applications often involve working with data in DataFrames. Spark Utils provides helper functions to simplify these tasks, specifically focusing on DataFrame creation and table manipulation. This article explores two such functions: createDataFrame and createTable.
UDP Utils
The Syntasa application provides UDP utilities that allow you to interact with UDP mappings. These utilities are implemented in Python & Scala and offer functions to get various details about UDP mappings.