Insight

NOVEMBER 19, 2018

Taking Infrastructure to the Next Level DevOps workflow by jdiazmx, distributed under a CC-BY 4.0 Building from an Existing Pipeline The main goal of this project was to take an existing platform and use DevOps best practices to productionalize it. Interested in transitioning to a career in DevOps engineering?

Metrics 59

Metrics Software Data Processing Publishing 59

AWS Big Data

NOVEMBER 15, 2023

CLEA aggregates data from various sources, enabling a detailed roadmap of the cloud operations, tracking footprints across primes, departments, products, applications, resources, and tags. Cizer Pereira is a Senior DevOps Architect at AWS Professional Services. Selman Ay is a Data Architect in the AWS Professional Services team.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Insight

AUGUST 20, 2019

and have used it to build an ingestion platform for collecting data for autonomous driving and a real time app suggesting tags for your next StackOverflow post. Our Fellows love Kafka for its performance and ease of use?—?and ElasticSearch ElasticSearch is a popular distributed search engine built on top of Apache Lucene.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

CDW Research Hub

JULY 24, 2019

With granular tagging, you can always show/shame/charge-back the application and business owners for the cost of their applications. With good tagging, the business becomes accountable and responsible for their spend, meaning the cloud team doesn’t need to spend time on some of these more common tasks. Terminating instances.

Snapshot 50

Snapshot Software Enterprise Management 50

erwin

AUGUST 15, 2022

Even more information about erwin Data Modeler: Video: Empower 2021: Fireside chat – Model-driven DevOps – What Is It? DevOps GitHub integration via Mart. Relational. Column Oriented. Column Family}. Collection. Primary Key. Partition Key /. Clustering Key. Collection Post. Relationship. Foreign Key. Collection. References}.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

IBM Big Data Hub

AUGUST 16, 2023

Proper financial management requires FinOps—a combination of financial personnel and DevOps. One way that organizations can do this is through cost allocation tagging; this provides deeper visibility into tracking cloud usage and associated costs, providing visibility into excess costs within compute and memory.

Cost-Benefit 67

Cost-Benefit Data Processing Optimization Software 67

AWS Big Data

MARCH 30, 2023

His specialties are Kubernetes, Spark on Kubernetes, MLOps and DevOps. Let’s use the following command to get the ARN of the Step Functions state machine we created earlier: kubectl get StateMachine -o jsonpath={.items.status.ackResourceMetadata.arn}

Data-driven 71

Data-driven Metadata Testing Management 71

AWS Big Data

APRIL 26, 2023

The DevOps practices which revolutionized software engineering in the last decade have yet to come to the world of Business Intelligence solutions. QS_Analysis: This table captures metadata of all QuickSight analysis that includes AWS ARN, name, type, dataset IDs, parent template ID, tags, permissions and more.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

JANUARY 30, 2019

Enterprise data science teams also appreciate CDSW’s integration with our platform’s existing capabilities for dataset lineage, data dictionaries, and the ability to tag and comment on data, all of which make it easier for data scientists to find and trust the right data when delivering insights.

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

IBM Big Data Hub

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. There are a lot of great principles and practices around DevOps, DevSecOps, and Agile disciplines. Jim Tyo added that in the financial services world, agility is critical.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

IBM Big Data Hub

MARCH 22, 2024

IBM® brings in all this through The IBM IGNITE Quality Platform (IQP), which is a DevOps-enabled single sign-on platform that leverages AI capabilities and patented methods to optimize tests. Requirement analytics (RA) : NLP-based tool for analysis of requirements to identify ambiguity, drive in shift left and determine complexity.

Testing 80

Testing Optimization Software Risk 80

IBM Big Data Hub

NOVEMBER 29, 2023

To deploy applications onto these varying environments, we have developed a set of robust DevSecOps toolchains to build applications, deploy them to a Satellite location in a secure and consistent manner and monitor the environment using the best DevOps practices. This tagging system ensures the image’s traceability.

Testing 97

Testing Dashboards Risk Data Processing 97

IBM Big Data Hub

SEPTEMBER 20, 2023

Zero-touch provisioning Policy-based, zero-touch provisioning was done with Red Hat Advanced Cluster Management for Kubernetes (RHACM) via policies and placement tags, which bind specific edge clusters to a set of software components and configurations.

Modeling 88

Modeling Enterprise Software Machine Learning 88

Smart Data Collective

FEBRUARY 3, 2022

Docker is one of the two most popular DevOps platforms for data scientists. Further, each Docker image is tagged, so that your team members remain consistent of the version being used. There are over nine million Docker accounts and the number of developers using Docker is growing 30% a year. Create Docker Image File.

Data Science 119

Data Science Data Processing Testing Big Data 119

IBM Big Data Hub

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. With Instana Logging, no manual tagging or instrumentation is required to get to the high-fidelity view of logs in context!

Metrics 91

Metrics Testing Data Processing Interactive 91

O'Reilly on Data

FEBRUARY 11, 2020

They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. The top-line bad news is that organizations aren’t doing enough to address their data quality issues. They’re making do with inadequate—or non-existent—controls, tools, and practices. Respondent demographics.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. All were also tagged as end users, and are familiar with the analytics tools within their apps. The result is more informed decisions. The app has become more than a tool.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. With Instana Logging, no manual tagging or instrumentation is required to get to the high-fidelity view of logs in context!

Metrics 44

Metrics Testing Data Processing Interactive 44

Alation

JUNE 21, 2022

Privacy staff wanted tagging. While most define DataOps abstractly as a discipline (or as a set of practices, processes, and technologies ) you can also think of a DataOps, like DevOps, as a team within the organization. As the audience grew so did their associated use cases and the functional requirements to support them.

Metadata 52

Metadata Data Quality Visualization Data Lake 52