To start a serverless Spark job on Google Cloud Platform (GCP), you can use the…
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Spark : Advantages of Google’s Serverless Spark
Google’s Serverless Spark has several advantages compared to traditional Spark clusters: Cost-effective: Serverless Spark eliminates the need for dedicated servers…
DBT : Automate selection of different table name in development and production in DBT using macro
Macros are a powerful tool in dbt (Data Build Tool) that allow you to reuse code and make your SQL…
Google MusicLM : ML
MusicLM is a new language model developed by Google’s machine learning research team. It is designed to generate music that…
Google Imagen : Artificial intelligence
Google Imagen is an advanced AI technology developed by Google that is capable of generating high-quality images from textual descriptions….
Google PaLM : NLP and ML
Google PaLM is a recent advancement in the field of natural language processing (NLP) and machine learning. Developed by Google,…
Google LaMDA Artificial Intelligence
Google’s Large Multi-Document Dialogue Attention (LaMDA) is an artificial intelligence system that enables natural language processing and dialogue capabilities. The…
Google Bard
Google has been at the forefront of AI and machine learning research and development for many years. In recent times,…
DBT : How to manage multiple environments in DBT ?
When working with data, it’s often necessary to manage multiple environments, such as development, testing, and production, in order to…
DBT : Using Python how can we get the upstreaming and downstream models in DBT ?
In DBT, it is possible to write Python code to perform custom operations on data models, such as finding the…
DBT : How to extract artifacts like manifest, catalog, run-results and sources files in DBT ?
DBT (Data Build Tool) allows you to extract artifacts from your database, including the manifest, catalog, run-results, and sources files….