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Docker Integration
Introduction Docker Docker Repositories Run the docker image with simple wikipedia jobs Use Gobblin Standalone on Docker for Kafka and HDFS Ingestion Run Gobblin as a Service ... -
Gobblin as a Library
Using Gobblin as a Library Creating an Embedded Gobblin instance Configuring Embedded Gobblin Running Embedded Gobblin Extending Embedded Gobblin Using Gobblin as a Library ... -
Query based
Introduction Constructs QueryBasedSource QueryBasedExtractor build readRecord Configuration Introduction QueryBasedSource represents a category of sources whose data... -
Hive Registration
How Hive Registration Works in Gobblin HiveSpec HiveRegistrationPolicy HiveSerDeManager Predicate and Activity How to Use Hive Registration in Your Gobblin Job Hive Regist... -
Gobblin Modules
Introduction How it works gobblin-modules/ Gobblin flavor Current flavors and modules What’s next Introduction Gobblin-modules is a way to support customization of the gobb... -
Daft
Daft Daft is a distributed query engine written in Python and Rust, two fast-growing ecosystems in the data engineering and machine learning industry. It exposes its flavor of t... -
Queries
Spark Queries To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Querying with S... -
Docker Demo
Building interoperable tables using Apache XTable™ (Incubating) This demo walks you through a fictional use case and the steps to add interoperability between table formats using ... -
Reliability
Reliability Iceberg was designed to solve correctness problems that affect Hive tables running in S3. Hive tables track data files using both a central metastore for partitions a...
