AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. Additionally, dbt Cloud integrates with Git providers, making version control and code collaboration more streamlined.

Data Lake 95

Data Lake Data Warehouse Cost-Benefit Data Transformation 95

DataKitchen

FEBRUARY 4, 2021

DataOps automates the source code integration, release, and deployment workflows related to analytics development. To use software dev terminology, DataOps supports continuous integration, continuous delivery, and continuous deployment. Continuous Delivery: continuous integration plus an automated release process.

Testing 147

Testing Software Management Data Analytics 147

O'Reilly on Data

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier.

Enterprise 342

Enterprise Testing Modeling Reporting 342

AWS Big Data

NOVEMBER 26, 2024

It serves as the central integration with analytical services. Solution overview We implement the solution with the AWS Cloud Development Kit (AWS CDK), an open source software development framework for defining cloud infrastructure in code, and provide it on GitHub.

Metadata 103

Metadata Data Lake Snapshot Data Warehouse 103

IBM Big Data Hub

SEPTEMBER 5, 2023

The secret to mainstreaming the mainframe into today’s modern, cloud-centric IT environments is to make the experience of working with the mainframe like the experience of working off the mainframe—especially the developer experience (DX). Giving developers a modern DX on the mainframe requires more than a new skin, however.

Software 120

Software Testing Interactive Digital Transformation 120

AWS Big Data

NOVEMBER 19, 2024

In the first part of this series , we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. Amplify streamlines full-stack app development. Your development machine must have the following installed: Node.js or later git v2.14.1

Data Processing 92

Data Processing Metadata Publishing Testing 92

AWS Big Data

AUGUST 2, 2023

Do you ever find yourself grappling with multiple defect logging mechanisms, scattered project management tools, and fragmented software development platforms? Create an S3 bucket named git-data. Create a Kinesis data stream named git-data-stream. Create a Lambda function named git-webhook-handler with a timeout of 5 minutes.

Visualization 96

Visualization Insurance Cost-Benefit Data Science 96

AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop?

Data Integration 90

Data Integration Snapshot Testing Visualization 90

AWS Big Data

FEBRUARY 7, 2025

You will need the following prerequisites: Git Clone the repo at [link]. An integrated development environment (IDE) An IDE like Visual Studio Code is helpful, although its not strictly necessary. OpenSearch Service provides integrations with vector embedding models hosted in Amazon Bedrock and SageMaker (among other options).

Data Processing 69

Data Processing Dashboards Modeling Statistics 69

Smart Data Collective

MAY 18, 2022

Data analytics is an invaluable part of the modern product development process. Communication with developers, as well as with management. They do this to speed up software development and get to market faster. The platform easily integrates with a variety of tools and collects all data in one place. Data reporting.

Testing 126

Testing Data Analytics Analytics Big Data 126

AWS Big Data

OCTOBER 9, 2023

Additionally, this Lake Formation integrates with other AWS services, such as Amazon Athena , making it ideal for querying data lakes through APIs. Install the AWS Command Line Interface (AWS CLI) on your local development machine and create a profile for the admin user as described at Set Up the AWS CLI. Sign in to the Lambda console.

Data Lake 131

Data Lake Testing Big Data Management 131

AWS Big Data

FEBRUARY 13, 2025

You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. The quick setup also establishes a default Git connection to AWS CodeCommit for users to manage their code repository.

Data Analytics 72

Data Analytics Analytics Modeling Data-driven 72

CIO Business Intelligence

NOVEMBER 13, 2023

And what’s being done to secure the mainframe as open source becomes an increasingly common tool for developers? The collaborative element of open-source development means that the broader community is typically able to respond quickly to any issues, applying patches and fixes to critical vulnerabilities and exposures (CVE).

Risk 131

Risk Software Reporting Measurement 131

AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. With this integration, you can use line charts, bar charts, and other graph types to uncover daily, weekly, and monthly patterns. You can aggregate metrics based on any fields.

Metrics 126

Metrics Visualization Dashboards Publishing 126

AWS Big Data

OCTOBER 24, 2024

The following diagram illustrates solution architecture, which manages stored objects using a continuous integration and delivery (CI/CD) pipeline. On the Settings menu, choose Developer Settings , Personal Access Token , Tokens (classic) , and create a token, which will be used by Jenkins to fetch files from the GitHub repository.

Visualization 101

Visualization Management Data Processing Testing 101

AWS Big Data

MAY 31, 2024

This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. You should now see the new inline policy attached to the user.

Metadata 127

Metadata Data-driven Management Testing 127

Sisense

JANUARY 14, 2021

In our Partner Showcase , we highlight the amazing integrations, joint projects, and new functionalities created and sustained by working with our technology partners at companies like Billie, AWS, Google, and others. With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts. Jenkins). “I

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

AWS Big Data

SEPTEMBER 13, 2024

Clone the BPG on EMR on EKS GitHub repo with the following command: cd ~/ git clone git@github.com:aws-samples/batch-processing-gateway-on-emr-on-eks.git The BPG repository is currently under active development. You can also explore integrating BPG to use Yunikorn queues for job submission. AWS_REGION ".amazonaws.com

Management 110

Management Snapshot Cost-Benefit Testing 110

AWS Big Data

FEBRUARY 8, 2023

Established from legacy brands with a 65-year history of pioneering breathing technology, the company’s portfolio of integrated solutions is designed to enable, enhance, and extend lives. Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway.

Testing 92

Testing Data Integration Data Lake Enterprise 92

DataKitchen

JUNE 7, 2021

Lower Error Rates in Development and Operations – Finding your errors is the first step to eliminating them. For example, Git is a free and open-source, distributed version control system used by many software developers. Figure 4: Factors that derail the development team and lengthen analytics cycle time.

Testing 130

Testing IT Data-driven Measurement 130

Cloudera

OCTOBER 19, 2021

As we mentioned before, instead of relying on one custom monolithic process, customers can develop modular data transformation steps that are more reusable and easier to debug, which can then be orchestrated with glueing logic at the level of the pipeline. Easing development friction. Long-tail of operators.

Data Transformation 120

Data Transformation Interactive Machine Learning Testing 120

AWS Big Data

MARCH 13, 2024

We introduce the integration of Ray into the RAG contextual document retrieval mechanism. Ray is an open source unified compute framework that enables ML engineers and Python developers to scale Python applications and accelerate ML workloads. Ray is an open source, Python, general purpose, distributed computing library.

Data Processing 130

Data Processing Dashboards Machine Learning Metrics 130

IBM Big Data Hub

NOVEMBER 29, 2023

This includes modernization of code development and maintenance (helping with scarce skills and allowing innovation and new technologies required by end users) as well as improvement of deployment and operations, using agile techniques and DevSecOps. Continuous integration Each component of the IBM Cloud deployment had its own CI pipeline.

Testing 89

Testing Dashboards Risk Data Processing 89

Sisense

MAY 12, 2020

Developing analytic apps is a bold new direction for product teams. The Toolbox is where we talk development best practices, tips, tricks, and success stories to help you build the future of analytics and empower your users with the insights and actions they need. js with a popular sample chart from this library’s GIT repo.

Visualization 98

Visualization Interactive Key Performance Indicator Data Processing 98

AWS Big Data

OCTOBER 30, 2023

The framework seamlessly integrates data with platforms like Apache Iceberg , Apache Delta Lake, Apache HUDI , Amazon Redshift , and Snowflake , offering a low-cost and scalable data processing solution. The following diagram illustrates the SoAL architecture.

Cost-Benefit 137

Cost-Benefit Data Processing Enterprise Publishing 137

erwin

APRIL 4, 2022

“Because erwin Data Modeler and erwin Data Intelligence are closely aligned and provide complementary services, it just made sense to align the release naming convention,” said Prashant Parikh, vice president, Development Engineering, R&D at Quest Software. “So, DevOps GitHub integration via Mart. The ability to push DDL into Git.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

AWS Big Data

SEPTEMBER 28, 2023

With a solid understanding of both technologies and their primary use cases, developers can create easy-to-use, maintainable, and evolvable EDAs. To make the integration between Kafka and EventBridge even smoother, AWS open-sourced the EventBridge Connector based on Apache Kafka. The AWS Cloud Development Kit (AWS CDK).

Data-driven 138

Data-driven Metrics Publishing Management 138

AWS Big Data

SEPTEMBER 26, 2024

By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset. The Amazon Bedrock Runtime service plays a crucial role in this use case by enabling the Lambda function to integrate with the Anthropic Claude 3 model seamlessly.

Data Lake 111

Data Lake Cost-Benefit Unstructured Data Modeling 111

Cloudera

SEPTEMBER 21, 2021

Until now, customers managing their own Apache Airflow deployment who wanted to use Cloudera Data Platform (CDP) data services like Data Engineering (CDE) and Data Warehousing (CDW) had to build their own integrations. However, for those who do not, or want a local development installation, here is a basic setup of Airflow 2.x

Data Processing 99

Data Processing Testing Machine Learning Management 99

IBM Big Data Hub

MAY 18, 2023

IBM Automation Decision Services is designed to be: Intuitive , allowing users outside of IT and development to initiate and build enterprise-scale decision automation projects. Integrated , helping users execute decisions using Git software and standard Continuous Integration/Continuous Delivery (CI/CD) pipelines.

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

AWS Big Data

NOVEMBER 3, 2023

The solution was developed with cost-optimization as a priority, but some resources in the stack will incur costs once deployed.

Metrics 111

Metrics Dashboards Metadata Visualization 111

Cloudera

NOVEMBER 10, 2020

This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing. Simple flow and transition through A-Z data worker tasks and the ability to integrate with subsequent workflows easily – e.g. collaborate and share. Steps of an SQL Developers Workflow. Less is more. That’s it. .

Visualization 112

Visualization Optimization Unstructured Data Dashboards 112

Cloudera

JUNE 15, 2021

The most powerful tool we have as developers is automation.” — Scott Hanselman. Else, if we’re running outside of Docker, we will clone the cloudera-deploy git repository and then run the centos7-init.sh script which will install Ansible 2.10, Ansible galaxy collections, and their dependencies: yum install git -y.

Data Processing 86

Data Processing Management Interactive Risk 86

IBM Big Data Hub

AUGUST 3, 2023

Understanding Infrastructure as Code Infrastructure as Code (IaC) is an approach to infrastructure management that uses software development techniques to automate the provisioning and configuration of infrastructure resources. Shift-left compliance involves integrating compliance considerations early into the software development lifecycle.

Cost-Benefit 66

Cost-Benefit Risk Testing Software 66

CIO Business Intelligence

OCTOBER 19, 2023

Visualize all the services you use Power BI has hundreds of content packs, templates, and integrations for hundreds of data services, apps, and services — and not just Microsoft ones such as Dynamics 365 and SQL Server. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

AWS Big Data

SEPTEMBER 6, 2023

Additionally, it provides a pattern creating a proxy that can easily be integrated into solutions built in languages other than Java. All of these improvements make the IAM integration a more efficient and secure solution for most use cases. For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application.

Testing 115

Testing Metadata Cost-Benefit Internet of Things 115

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. It is geared toward IT chiefs who want to be chief data officers, not chief integration officers, he suggests. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116