PODCAST · technology
AI Amplified Insights
by RAVISH GARG
Here I, Ravish Garg, bring my 15+ years of tech experience to life through AI-narrated podcasts. As a Google engineer and data specialist, I unpack complex topics in cloud computing, big data, and ML. Each episode, based on my Medium blogs, offers practical insights for pros and tech enthusiasts alike. Join me in exploring the digital frontier, from cloud architecture to data engineering. Let's navigate tech's future together! Read more: garg-ravish.medium.com Connect: linkedin.com/in/garg-ravish Subscribe now and elevate your tech knowledge with "AI Amplified Insights" Hosted on Acast. See acast.com/privacy for more information.
Episodes
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Forecasting the Future with BigQueryML TimesFM: A Game-Changer in Time Series Analysis
Hosted on Acast. See acast.com/privacy for more information.
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Typed GenAI in Your Warehouse: BigQueryML Generative AI Functions
Hosted on Acast. See acast.com/privacy for more information.
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Understanding What Really Drives Your Conversion Rate
Hosted on Acast. See acast.com/privacy for more information.
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Google Cloud Data Insights: Key Updates and Announcements
March 2025 Hosted on Acast. See acast.com/privacy for more information.
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Google Cloud Data Insights: Key Updates and Announcements
Feb 1 — Mar 8, 2025 Hosted on Acast. See acast.com/privacy for more information.
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Google Datacatalog Lineage API
Google Cloud's analytical constellation Hosted on Acast. See acast.com/privacy for more information.
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BigQuery Pipe Syntax: Streamlining Your SQL
This is an introduction to BigQuery’s Pipe Syntax, a new way of writing SQL queries that streamlines the process by breaking it down into sequential operations. It contrasts traditional SQL, which often involves nested subqueries and complex clauses, with Pipe Syntax, which allows for simpler…
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RDBMS to BQ streaming using Debezium
This podcast based on a Medium article by Ravish Garg that describes how to use the Debezium Server to stream data changes from a SQL Server database directly to Google Cloud Pub/Sub. The article provides a step-by-step guide on configuring both the Debezium Server and the Pub/Sub service,...
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Next-Gen Data Lakehouses with BigQuery and Iceberg
BigQuery Iceberg Tables are an open-format data lakehouse solution on Google Cloud. These tables combine the flexibility of Cloud Storage with BigQuery's managed analytics, allowing users to work with data in Parquet format using the open-source Apache Iceberg table format. Key features of…
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Mastering Feature Preprocessing in BigQuery ML
Discusses the new feature preprocessing capabilities of BigQuery ML, a tool for data analytics and machine learning that is part of Google Cloud’s BigQuery. The author explains that BigQuery ML enables data analysts and scientists to create and deploy machine learning models using SQL queries...
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BigQuery BigFrames
BigQuery BigFrames is a Python library designed to bridge the gap between BigQuery and popular data science tools such as pandas and scikit-learn. This library simplifies data analysis by allowing users to utilize familiar APIs for working with massive datasets stored in BigQuery. BigQuery...
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Generating Embeddings in AlloyDB
It explains how to use the google_ml_integration extension to leverage Google ML models for embedding generation, which can simplify data analysis and improve machine learning model performance. The guide walks through the steps of setting up the environment, preparing data, generating…
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Crafting Personalized Experiences with BigQuery ML.GENERATE_TEXT
The article explains how to use BigQuery ML.GENERATE_TEXT, a tool within Google's BigQuery platform, to create personalized customer engagement strategies. The article first explains the prerequisites needed to use BigQuery ML.GENERATE_TEXT. It then presents a use case where the tool can be used…
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Google Cloud BigQuery Security Secrets: Unlocking IAM Conditions
IAM Conditions are a powerful tool for managing access to BigQuery, but they can be confusing. In this episode, we'll break down how IAM Conditions work and show you how to use them to improve the security of your data. Hosted on Acast. See acast.com/privacy for more information.
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ABOUT THIS SHOW
Here I, Ravish Garg, bring my 15+ years of tech experience to life through AI-narrated podcasts.
As a Google engineer and data specialist, I unpack complex topics in cloud computing, big data, and ML. Each episode, based on my Medium blogs, offers practical insights for pros and tech enthusiasts alike.
Join me in exploring the digital frontier, from cloud architecture to data engineering. Let's navigate tech's future together!
Read more: garg-ravish.medium.com
Connect: linkedin.com/in/garg-ravish
Subscribe now and elevate your tech knowledge with "AI Amplified Insights"
Hosted on Acast. See acast.com/privacy for more information.
HOSTED BY
RAVISH GARG
CATEGORIES
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Frequently Asked Questions
How many episodes does AI Amplified Insights have?
AI Amplified Insights currently has 14 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is AI Amplified Insights about?
Here I, Ravish Garg, bring my 15+ years of tech experience to life through AI-narrated podcasts. As a Google engineer and data specialist, I unpack complex topics in cloud computing, big data, and ML. Each episode, based on my Medium blogs, offers practical insights for pros and tech enthusiasts...
How often does AI Amplified Insights release new episodes?
AI Amplified Insights has 14 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to AI Amplified Insights?
You can listen to AI Amplified Insights on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts AI Amplified Insights?
AI Amplified Insights is created and hosted by RAVISH GARG.
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