After the announcement of Delta 2.0 during the Data + AI Summit in which Databricks fully open sourced Delta Lake, and the release...
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Simplify your data pipelines through simple reusable components
What We Do
Sparser
As a general computing engine, Spark can process data from various data management/storage systems. For flexibility and high throughput, Spark defines the Data Source API, which is an abstraction of the storage layer. Based on this API we have created a Data Source for ASN.1 that gives you the ability to parse multiple encoded files.
DataBlocks
DataBlocks is a data integration platform for data lakes designed for the modern Enterprise. It provides multiple features designed for current and evolving Data Engineering that go beyond traditional ETL. Our graphic editor for Spark enables visual drag-and-drop and Spark or SQL developers to succeed in the same environment and produce efficient data pipelines.
Our Beans
Sparser Api V1 for parsing and querying ASN.1 encoded data (Ber/Der) with Apache Spark, for Spark SQL and DataFrames.
datablocks is a Big Data integration platform for Data Lake.
Use datablocks to perform big data integration and transformation without writing or maintain external code.
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Our Expertise
Recent Posts
Simplify your streaming CDC architecture using Delta Streams
In 2019, a study by Lightbend and The New Stack [1] revealed that The use of stream processing for AI/ML...
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Delta Lake: The Data Engineer’s missing piece
Open sourced in April 2019, Delta Lake is a Databricks project that brings reliability, performance and lifecycle management to data...
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