Avocado Datalake

Avocado Datalake simplifies data 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 including MySQL, Amazon Aurora, Cloud SQL, Spanner, and Apache Kafka and MongoDB into centralized repository (data lake) based on the cloud storage such as AWS S3 or Google Cloud Storage. By leveraging Apache Hudi, Delta lake or Apache Iceberg as an open table storage format that will ensure CDC capture and read and write operations.

To maximize the value of your data lake, we implement advanced metadata management using AWS Glue Data Catalog, Unity Catalog, or GCP Data Catalog. This enables seamless data discovery and analysis through tools like Amazon Athena, Presto, Apache Airflow, Looker and Looker Studio. Our expertise extends to data governance and security, providing best practices for table access and permissions using AWS Lake Formation.

Further more we can connect your data lake storage data into enterprise data warehouse such as Amazon Redshift and BigQuery

We partner with organizations to unlock the full potential of their data and drive data-driven decision making.

Avocado Datalake Architecture

A high level design architecture of our propose solution for your organization to manage all sources of data into a unified data lake.

Sources

source MySQL
source AWS Aurora DB
source GCP Cloud SQL
source GCP Cloud Spanner
source Parquet files
Kafka topic
source files like json/csv files at S3, GCS or Azure blob storage
source csv file at S3, GCS or Azure blob storage

Table Formats

table format Apache Hudi
Table format Deltalake from Databricks
Table format Apache Iceberg
Table format Apache Iceberg

Data Discovery

Data Discovery in AWS Athena
Data Discovery in AWS QuickSinght
Data Discovery in from SQL based Egnine open source Trino
Data Discovery open source Presto
Data Discovery dbt
Data Discovery in Deltalake using Hive
Data Discovery in Looker from Google Cloud
Any source can be easily accomodated for ingestion
Any table format be switch easily in our pre build codebase
We can attached any Data Discovery tools to our Data lake though hive style metadata cataloging

Avocado Datalake

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 including MySQL, Amazon Aurora, Cloud SQL, Spanner, and Apache Kafka and MongoDB into centralized repository (data lake) based on the cloud storage such as AWS S3 or Google Cloud Storage. By leveraging Apache Hudi, Delta lake or Apache Iceberg as an open table storage format that will ensure CDC capture and read and write operations.

To maximize the value of your data lake, we implement advanced metadata management using AWS Glue Data Catalog, Unity Catalog, or GCP Data Catalog. This enables seamless data discovery and analysis through tools like Amazon Athena, Presto, Apache Airflow, Looker and Looker Studio. Our expertise extends to data governance and security, providing best practices for table access and permissions using AWS Lake Formation.

For more details about our Avocado Datalake, visit our Products Pages