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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

article thumbnail

Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

Optionally, this step can use the Write-Audit-Publish pattern to ensure that data is correct before it is made available to the rest of the company. See example below: - template: id: wap type: wap tables: - ${CATALOG}/${DATABASE}/${TABLE} write_jobs: - job: id: write type: Spark spark: script: $S3{./src/sparksql_write.sql}

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Microservices Adoption in 2020

O'Reilly

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. Perhaps; we’ll take a look at that next, specifically with respect to containers, centrally managed databases, and monolithic UIs.

Database 139
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

The scheduler on-call has to closely monitor the system during non-business hours. It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. Meson was based on a single leader architecture with high availability.

Java 212