Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
An IDE and translation engine for detection engineers and threat hunters. Be faster, write smarter, keep 100% privacy.
A Data Platform built for AWS, powered by Kubernetes.
This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which we need in our real life experience as a data engineer. We will be using pyspark & sparksql for the development. At the end of the course we also cover few case studies.
Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations
A library to accelerate ML and ETL pipeline by connecting all data sources
Python idiomatic SDK for Cortex™ Data Lake.
An AWS based solution using AWS CloudWatch and AWS Lambda based on Python to automatically terminate AWS EMR clusters that have been idle for a specified period of time.
This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, AWS Glue for data transformation, and AWS CDK Pipelines. It is originally based on the AWS blog Deploy data lake ETL jobs using CDK Pipelines, and complements the InsuranceLake Infrastructure project
This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, AWS Glue for data transformation, and AWS CDK Pipelines. It is originally based on the AWS blog Deploy data lake ETL jobs using CDK Pipelines, and complements the InsuranceLake ETL with CDK Pipelines project.
OEDI Data Lake Access
Building a poor man's data lake: Exploring the Power of Polars and Delta Lake
Sample data store project to be hosted on a remote server or cluster. CICD using GitHub actions for SSH Deploy to remote server for docker compose.
How to build a complete Data Platform -> Here
Built functional python ETL script with functions that initialized spark clusters using pyspark library to extract songs stored in S3 bucket. Partitioned songs data by year and artist_id and compressed in parquet output files to increase load performance. Used the overwrite mode in spark to ensure every new run of ELT script is overwritten in th…
🚴♂️⛷Data Lake, Performance tuning for text extraction from a huge amount of files.
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