Belajar Data & AI

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Channel ini dibuat untuk berbagi ilmu seputar Data dan AI dengan menggunakan Cloud Platform yaitu Google Cloud Platform, Amazon Web Services, Microsoft Azure...

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Sesi 5 Inheritance

Sesi ke 4 Memahami Array danArrayList dalam konteks OOP

Pengenalan Google Cloud Platform (GCP) untuk Pemula Belajar BigQuery, IAM, GCS dari Nol

Pertemuan 1 - Pengenalan OOP & Java

Design Data Warehouse Using Star Schema with draw.io & Google BigQuery

Data Warehouse Modeling use Snowflake Schema with Draw.io & Google BigQuery

Data Warehouse Modeling use Star Schema with Draw.io & Google BigQuery

Data Warehouse Modeling

Modern Data Achitecture 101

Introduction DBT Cloud & Setup with Google BigQuery

Build LLM Unimodal apps using google gemini pro and Vertex AI

Belajar dasar Gen AI, LLM, Google Gemini & Vertex AI

Demo Create Lakehouse using Apache Iceberg, Amazon S3 and Emr Serverless

Demo Build Lakehouse with Google BigQuery and Apache Iceberg

Cara Mudah automate Data Pipeline di AWS Redshift Serverless menggunakan Apache Airflow

Cara mudah membuat data pipeline dari postgresql & csv files ke Google BigQuery menggunakan Airbyte

Cara mudah membuat data pipeline tanpa coding dari postgresql ke Google BigQuery menggunakan Airbyte

Bagaimana Membuat Akun AWS dalam 5 menit tanpa kartu kredit

What is Apache Spark & PySpark Are Spark Better than Pandas and Polars

Demo Streamline Your Data Workflow Analyze, Query and Visualize with BigQuery Data Canvas

Create Raw table in Google BigQuery Manually via Google Cloud Console

Hands On ETL Pipeline using Python, SQL, Pandas and Apache Airflow From Use Case 1 till Use Case 3

Hands On ETL Pipeline using Python, SQL and Pandas - Use Case 3

Hands On ETL Pipeline using Python, SQL and Pandas - Use Case 2

Hands On ETL Pipeline using Python, SQL and Pandas - Use Case 1

AWS Glue ETL & demo

AWS GlueCrawler & DataCatalogs with Demo

Demo Query Data in AWS S3 Using BigQuery Omni

Setup AWS Cloud9 and Python Boto3

Roadmap Data Engineering in Google Cloud