DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

FEBRUARY 21, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is an AWS service to run managed Airflow workflows, which allow writing custom logic to coordinate how tasks such as AWS Glue jobs run. The resource that will take most of time is the Airflow environment. For the connection name, enter MWAA-Glue-Blog-Subnet1.

Strategy 114

Strategy Visualization Management IT 114

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. .

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Cloudera

MAY 18, 2021

Apache Ranger (part of HDP and HDF). Apache Ranger (part of SDX). Managed Airflow (part of CDE). Apache NiFi (part of HDF) . Apache NiFi (part of CDF). Quantifiable improvements to Apache open source projects. The table below summarizes technology differentiators over legacy CDH and HDP capabilities: .

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. Document processing solution framework layer All components and sub-layers are orchestrated using Amazon Managed Workflows for Apache Airflow.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Outside of work, he enjoys traveling and blogging his experiences in social media.

Data-driven 110

Data-driven Advertising Metadata Data Architecture 110