Remove Data Processing Remove Interactive Remove Metadata Remove Testing
article thumbnail

5G network rollout using DevOps: Myth or reality?

IBM Big Data Hub

Public cloud support: Many CSPs use hyperscalers like AWS to host their 5G network functions, which requires automated deployment and lifecycle management. Hybrid cloud support: Some network functions must be hosted on a private data center, but that also the requires ability to automatically place network functions dynamically.

Testing 71
article thumbnail

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

In the second account, Amazon MWAA is hosted in one VPC and Redshift Serverless in a different VPC, which are connected through VPC peering. VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. Otherwise, it will check the metadata database for the value and return that instead.

Metadata 106
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In this post, we show you how you can convert existing data in an Amazon S3 data lake in Apache Parquet format to Apache Iceberg format to support transactions on the data using Jupyter Notebook based interactive sessions over AWS Glue 4.0. AWS Command Line Interface (AWS CLI) configured to interact with AWS Services. Choose ETL Jobs.

Data Lake 105
article thumbnail

Introducing Amazon MWAA support for the Airflow REST API and web server auto scaling

AWS Big Data

First, the Airflow REST API support enables programmatic interaction with Airflow resources like connections, Directed Acyclic Graphs (DAGs), DAGRuns, and Task instances. Furthermore, the user’s permissions for interacting with the REST API are determined by the Airflow role assigned to them within Amazon MWAA. small instance class.

Testing 89
article thumbnail

Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis.

article thumbnail

Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml We use the s3.yaml

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. from the business interactions), but if not available, then through confirmation techniques of an independent nature. Your Chance: Want to test a professional analytics software?