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A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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  1. 01Connect SAP HANA to Dremio Cloud: Unlock Analytics Beyond the SAP EcosystemSAP HANA is the in-memory database platform that powers SAP S/4HANA, SAP BW/4HANA, and custom enterprise applications across finance, manufacturing, logistic...
  2. 02Connect Amazon S3 to Dremio Cloud: Query Your Data Lake with SQL, Federation, and AIAmazon S3 is the default landing zone for data in the cloud. Log files, Parquet datasets, CSV exports, JSON events, IoT telemetry, and raw data dumps : it ...
  3. 03Connect Azure Storage to Dremio Cloud: Query Your Microsoft Data Lake with SQL and AIAzure Storage is Microsoft's cloud storage platform, spanning Blob Storage, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Files. If your organization u...
  4. 04Connect Amazon Redshift to Dremio Cloud: Extend Your Warehouse with Federation and AI AnalyticsAmazon Redshift is AWS's managed data warehouse, designed for petabyte-scale analytics. If your organization chose Redshift for analytical workloads, you've ...
  5. 05Connect Google BigQuery to Dremio Cloud: Cross-Cloud Analytics Without Data MovementGoogle BigQuery is Google Cloud's serverless data warehouse. If your organization uses Google Cloud Platform, BigQuery is where your analytics data, marketin...
  6. 06Connect Snowflake to Dremio Cloud: Federate, Govern, and Accelerate Beyond SnowflakeSnowflake is a popular cloud data warehouse known for its separation of storage and compute, near-zero maintenance, and broad ecosystem. Many organizations h...