Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
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Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Strategics @ Databricks | CxO Advisory | Financial Services | Data Intelligence Platform | Cybersecurity
Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Help clients build a lakehouse platform for many common data activities ranging from basic ETL to business intelligence to ML and AI
Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
-
Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
-
Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com
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Databricks | Data Engineering | Data Migration | Data Governance | Spark | Analytics | LLM | AI
Apache Spark’s new Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources across the org will help our teams move faster and have more confidence in their work." - Bryce Bartmann, Chief Digital Technology Advisor, Shell
Simplify Data Ingestion With the New Python Data Source API
databricks.com