# Avocado Datalake

Avocado Datalake provides expert data engineering consultancy and solutions for building scalable Data Lakes and Data Warehouses on AWS, GCP, and Azure.

## Meta
- last_updated: 2026-01-18
- maintainer: Avocado Datalake Team
- contact: avocado.datalake@gmail.com
- website: https://www.dwh.co.in
- canonical_entity: Avocado Datalake
- entity_type: Website / Business

## About
- name: Avocado Datalake
- tagline: Bootstrapping your data lake & data warehouse management.
- short_description: Expert data engineering consultancy for Data Lakes and Data Warehouses on AWS, GCP, and Azure. Specialized in ETL/ELT pipelines, data ingestion, and cloud architecture solutions.
- long_description: Avocado Datalake simplifies data lake management for your organization. We are a data lake consultancy specializing in transforming raw data into actionable insights. Our end-to-end solutions encompass data ingestion, storage, management, and discovery. We seamlessly integrate data from diverse sources such as structured, semi-structured, and unstructured data into a centralized repository called a Data Lake, built on cloud storage solutions like AWS S3, Google Cloud Storage, or Azure Data Lake Storage.
- URL: https://www.dwh.co.in

## Contact
- email: avocado.datalake@gmail.com
- social: https://www.dwh.co.in/contact-us/

## Link Map

### Main Pages
- [Home](https://www.dwh.co.in/): Data Lake & Data Warehouse Consulting Services.
- [About Us](https://www.dwh.co.in/about-us/): Meet our team of data engineering experts.
- [Contact Us](https://www.dwh.co.in/contact-us/): Get in touch for expert data lake setups.
- [Products](https://www.dwh.co.in/products/): Explore our ETL and infrastructure codebase architectures.

### Blog Posts
- [Blogs Index](https://www.dwh.co.in/blogs/): Technical guide and articles.
- [What is a Data Lake?](https://www.dwh.co.in/blogs/what-is-a-data-lake/): Concepts, architecture, and implementation.
- [Data Lake vs Data Warehouse](https://www.dwh.co.in/blogs/data-lake-vs-data-warehouse/): deep dive comparison and use cases.
- [Getting Started with Apache Iceberg](https://www.dwh.co.in/blogs/apache-iceberg/getting-started-with-apache-iceberg/): Open Table Format & Spark Setup Guide.
- [Getting Started with Delta Lake](https://www.dwh.co.in/blogs/delta-lake/getting-started-with-delta-lake/): Implementation and features.
- [Getting Started with Apache Hudi](https://www.dwh.co.in/blogs/apache-hudi/getting-started-with-apache-hudi/): Setup, concepts, and architecture.
- [CoW vs MoR in Apache Hudi](https://www.dwh.co.in/blogs/apache-hudi/CoW-MoR-table-concepts/): Understanding Copy on Write vs Merge on Read tables.

### Products
- [Data Lake to Data Warehouse](https://www.dwh.co.in/products/data-lake-to-data-warehouse/): Ingestion pipelines.
- [RDBMS to Data Lake](https://www.dwh.co.in/products/rdbms-to-datalake/): Database migration solutions.
- [Semi-Structured to Data Lake](https://www.dwh.co.in/products/semi-structured-to-datalake/): Handling MongoDB, DynamoDB, etc.
- [Unstructured Data to Data Lake](https://www.dwh.co.in/products/unstructured-data-to-datalake/): Processing Kafka, logs, and files.

## Summary
- one_line: Expert data engineering consultancy for Data Lakes and Data Warehouses on AWS, GCP, and Azure. Specialized in ETL/ELT pipelines, data ingestion, cloud architecture solutions.
- three_line: Avocado Datalake simplifies data lake management for your organization. We are a data lake consultancy specializing in transforming raw data into actionable insights. Our end-to-end solutions encompass data ingestion, storage, management, and discovery.

## Target Audience
- primary: Businesses, Organizations
- problems_solved: We manage large-scale data lake / data warehouse infrastructure (BigQuery, Redshift), delivering comprehensive solutions that unlock the potential of your data while ensuring security and compliance.

## Policy
- ai_crawling: allowed
- ai_training: allowed
- ai_indexing: allowed
- data_usage: public content allowed for citation
- robots: follow robots.txt rules
- rate_limits: no crawling limit for LLMs