Ascend is a data engineering and analytics platform that automates data pipelines, enabling users to build, manage, and optimize complex workflows with minimal manual intervention. It integrates with various data sources, orchestrates data transformations, and provides monitoring and governance features to streamline the data lifecycle.
Top 5*
Programming Languages
About Ascend
Ascend was created in 2015 to address the growing complexity of data engineering and analytics workflows. It aimed to automate and streamline the process of building, managing, and optimizing data pipelines, reducing the need for manual intervention and improving efficiency. The platform integrated with various data sources and provided tools for orchestrating data transformations and monitoring workflows.
Ascend's strengths include its automation capabilities, ease of use, and integration with various data sources. Weaknesses may involve dependency on cloud infrastructure and potential limitations in customization for highly specific use cases. Competitors include Apache Airflow, AWS Glue, and Google Cloud Dataflow.
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How to hire a Ascend expert
An Ascend expert must have strong skills in data engineering, proficiency in SQL, and experience with cloud platforms such as AWS, Google Cloud, or Azure. They should also be familiar with ETL processes, data pipeline orchestration, and possess knowledge of Python for scripting and automation tasks. Understanding data governance and monitoring tools is also essential.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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