Category Archives: Json ETL

Use Case: Load Elasticsearch ETL from SQL

Low latency multi-table SQL data is pulled and merged into a hierarchical Json document into Elasticsearch There is a strong need for SQL style database to off load text searches onto a search engine like Elasticsearch. With non-trivial data models … Continue reading

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Top 15 reasons to use a Json ETL tool

Advantages of using declarative json ETL software JsonEDI is a powerful enterprise declarative ETL tool based on internal Json documents. JsonEDI can read or write to nearly any datasource including SQL, NoSQL , flat files or REST. When reading from … Continue reading

Posted in Elasticsearch ETL, Hadoop ETL, Json ETL, Mongo ETL, NoSQL ETL | Tagged , , | 2 Comments

Use Case: Automatic ETL schema generation

Semistructured source data with automatic ETL schema generation¬†at SQL destination Problem: A Software as a Service (SaaS) company stores OLTP data in a mixed format of relational and semi-structured data. This multi-tenant data consists of workflow, form data and documents. … Continue reading

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Data Lake vs Integrated Data Warehouse ETL

Data Warehouse ETL vs Data Lake ETL JsonEDI makes a fundamental change of the cost calculus between a Data Lake vs the IDW. A Data Lake is loosely integrated data typically placed in Hadoop. An IDW has tightly integrated data … Continue reading

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