DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

CIO Business Intelligence

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

NOVEMBER 27, 2024

You’re now ready to sign in to both Aurora MySQL cluster and Amazon Redshift Serverless data warehouse and run some basic commands to test them. Choose Test Connection. This verifies that dbt Cloud can access your Redshift data warehouse. Choose Next if the test succeeded.

Data Warehouse 93

Data Warehouse Analytics Testing Modeling 93

CIO Business Intelligence

OCTOBER 24, 2024

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. The rest of their time is spent creating designs, writing tests, fixing bugs, and meeting with stakeholders. “So

ROI 127

ROI Data-driven Enterprise Experimentation 127

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

AWS Big Data

SEPTEMBER 11, 2024

This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS. The new solution has helped Aruba integrate data from multiple sources, along with optimizing their cost, performance, and scalability.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

DataKitchen

JANUARY 3, 2022

Many large enterprises allow consultants and employees to keep tribal knowledge about the data architecture in their heads. Tests that verify and validate data flowing through the data pipelines are executed continuously. An impact review test suite executes before new analytics are deployed.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

APRIL 12, 2024

Overview of solution The following are the steps to implement the solution to stream data from AWS to Snowflake: Create a Snowflake database, schema, and table. Create a Kinesis data stream. Create a Firehose delivery stream with Kinesis Data Streams as the source and Snowflake as its destination using a secure private link.

Data Architecture 106

Data Architecture IoT Internet of Things Recreation/Entertainment 106

TDAN

JUNE 6, 2023

Implementing an optimized test data management program […] IT is operating at a faster pace than ever before and has become a vital component of modern business. The speed of application development is becoming a decisive factor for a company’s success.

Testing 75

Testing Optimization Software Management 75

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

NOVEMBER 8, 2024

Prerequisites To walk through the examples in this post, you need the following prerequisites: You can test the incremental refresh of materialized views on standard data lake tables in your account using an existing Redshift data warehouse and data lake. The sample files are ‘|’ delimited text files.

Data Lake 96

Data Lake Data Warehouse Optimization Testing 96

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Figure 1: Example data pipeline with manual processes. Adding Tests to Reduce Stress.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

DECEMBER 11, 2024

Furthermore, generally speaking, data should not be split across multiple databases on different cloud providers to achieve cloud neutrality. Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. Data and metadata are shown in blue in the following detail diagram. create_hudi_s3.py

Metadata 94

Metadata Data Lake Snapshot Data Warehouse 94

AWS Big Data

NOVEMBER 22, 2024

This enables you to extract insights from your data without the complexity of managing infrastructure. dbt has emerged as a leading framework, allowing data teams to transform and manage data pipelines effectively.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

DataKitchen

DECEMBER 20, 2020

DataOps Engineers implement the continuous deployment of data analytics. They give data scientists tools to instantiate development sandboxes on demand. They automate the data operations pipeline and create platforms used to test and monitor data from ingestion to published charts and graphs.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. Customer Environment: The customer has three environments: development, test, and production.

Testing 132

Testing Metadata Risk Data Science 132

DataKitchen

JUNE 12, 2023

Much like the goal of a customer journey, a Data Journey should give you a better understanding of how, when, where, and what data flows through your data analytic systems. Data Journeys track and monitor all levels of the data estate, from data to tools to code to tests across all critical dimensions.

Testing 130

Testing Dashboards Data Lake Data Science 130

DataKitchen

JUNE 1, 2022

Quality/Tests/Trust. How many tests do I have in production? Is my dashboard displaying the correct data? What is the average number of tests per pipeline? Testing/Impact/Regressions. How many tests ran in the QA environment? For a particular project, what pipelines, tests, deploys and tickets are happening?

Risk 100

Risk Management Testing Dashboards 100

DataKitchen

JULY 3, 2023

Teams Did Not Build Current Architecture For Rapid And Low-Risk Changes Those Systems Teams have complicated in-place data architectures and tools and fear changes to what is already running. Constant Data And Tool Errors In Production Teams cannot see across all tools, pipelines, jobs, processes, datasets, and people.

Testing 130

Testing Risk Data-driven Statistics 130

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

erwin

JANUARY 9, 2020

From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source. Building a more agile and governable data architecture: Create and implement common data design standards from the start. Click here to test drive of the new erwin DM.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. What’s Next.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

IBM Big Data Hub

APRIL 11, 2023

Step two – Impact testing As governments around the world implement regulations regarding the use of AI and automation, organizations should evaluate and revise their processes to address compliance with new regulations.

Strategy 87

Strategy Data Architecture Data-driven Testing 87

Sisense

AUGUST 28, 2020

All this contributes to your overall data integrity profile. Logical data integrity is designed to guard against human error. We’ll explore this concept in detail in the testing section below. Data integrity: A process and a state. There are two means for ensuring data integrity: process and testing.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

CIO Business Intelligence

MARCH 9, 2022

When looking to move large portions of their application portfolios to a cloud-first model, organizations should ensure their developers embrace well-defined, cloud-native principles, says Brian Campbell, principal at Deloitte, including the use of APIs, microservices, and a modern data architecture.

Strategy 145

Strategy Consulting Risk Testing 145

CIO Business Intelligence

JANUARY 31, 2024

Weston uses uplift modeling, running a series of A/B tests to determine how potential customers respond to different offers, and then uses the results of those tests to build the model. The size of the data sets is limited by business concerns.

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135

CIO Business Intelligence

SEPTEMBER 14, 2023

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

OCTOBER 16, 2023

To meet this need, AWS offers Amazon Kinesis Data Streams , a powerful and scalable real-time data streaming service. With Kinesis Data Streams, you can effortlessly collect, process, and analyze streaming data in real time at any scale. Therefore, these functions need thorough testing to prevent any loss of data.

Cost-Benefit 118

Cost-Benefit Testing Optimization Strategy 118

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

CIO Business Intelligence

NOVEMBER 14, 2022

Being locked into a data architecture that can’t evolve isn’t acceptable.” Aurora built a cloud testing environment on AWS to better understand the safety of its technology by seeing how it would react to scenarios too dangerous or rare to simulate in the real world.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

CIO Business Intelligence

SEPTEMBER 19, 2024

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” “Agentic AI is all the rage as companies push gen AI beyond basic tasks into more complex actions,” Chaurasia and Maheshwari say.

IT 138

IT Cost-Benefit Consulting Modeling 138

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Many companies are therefore forced to put these concepts to the test. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

JUNE 10, 2024

Many of the tests to check performance and volumes of data scanned have used Athena because it provides a simple to use, fully serverless, cost effective, interface without the need to setup infrastructure. 12xl) cluster The test included four types of queries that represent different production workloads that Cloudinary is running.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

CIO Business Intelligence

MAY 12, 2022

So, real-time data has become air. What role does Apache Pulsar play in Verizon’s data architecture? That’s probably our biggest implementation right now: event streaming feeds a lot of data back into our customer service and consumer data workflows. We’re using a lot in the consumer side of the business.

Testing 98

Testing Advertising Data Lake Marketing 98