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Ingest MongoDB, DynamoDB, and JSON into your Data Lake on AWS, Azure, or GCP. Automate ETL with Spark into Delta Lake, Iceberg, or Hudi with full Data Cataloging.

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Ingest unstructured and file-based data into your Data Lake on AWS, GCP, or Azure. Automated Spark pipelines for Delta Lake, Iceberg, and Hudi with Data Cataloging.

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Meet our team of data engineering experts specializing in scalable data lakes, warehousing, and data managements on AWS, GCP, and Azure.

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Sync data from your Data Lake to Redshift, BigQuery, Synapse, and Snowflake. Build automated ETL pipelines for BI-ready analytics on AWS, GCP, and Azure.

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Avocado Datalake is a Data lake and Data warehouse consulting company and provide the data ingestion and management solutions provider and data product company

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Explore our data engineering blog for expert guides on Data Lake and Warehouse architecture. Learn implementation strategies for AWS, GCP, and Azure today.

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Explore our specialized data services: RDBMS ingestion, Semi-structured data processing, and Data Lake to Warehouse pipelines for AWS, GCP, and Azure.

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What is a Data Lake? Learn the core concepts, architecture patterns, and implementation strategies for AWS, GCP, and Azure. Master your data storage today.

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Build scalable ETL/ELT pipelines to ingest RDBMS data into your Data Lake. Supporting MySQL, PostgreSQL, Oracle & SQL Server with Snapshot, Incremental, and CDC.

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Learn how to build and run an Apache Spark and Apache Iceberg Scala SBT project on Google Cloud Dataproc Serverless against the BigLake Iceberg REST catalog.