AWS Big Data

NOVEMBER 9, 2023

A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. local/bin/dbt test –-select your_package.* /usr/local/airflow/.local/bin/dbt

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

FEBRUARY 14, 2024

If you ask it to generate a response, and maybe it hallucinates, you can then constrain the response it gives you, from the well-curated data in your graph. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections. How do you do that?

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Wayne Yaddow

FEBRUARY 26, 2025

The following are primary applications of artificial intelligence among data transformation and conversion verification processes. AI-Driven Automated Data Transformation TestCases Traditional data transformation testing often relies on manually created test cases, which can be time-consuming and prone to human oversight.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

Ontotext

SEPTEMBER 15, 2020

Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data. Consider using data catalogs for this purpose.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

AWS Big Data

JUNE 6, 2023

In order to mature our data marts, it became clear that we needed to provide Analysts and other data consumers with all tracked digital analytics data in our DWH as they depend on it for analyses, reporting, campaign evaluation, product development and A/B testing. In the future we will add Data Quality checks with DBT.

Analytics 59

Analytics Data Lake Testing Optimization 59

Ontotext

JUNE 22, 2023

The long wait comes from the need for extensive testing in order to ensure that a drug is safe and efficient before it can be available to those who need it. This disheartening success rate is the result of the immense challenges faced by the Pharma industry today. This saves valuable time and effort for both research and technical teams.

Metrics 52

Metrics Statistics Visualization Data-driven 52

AWS Big Data

JULY 12, 2023

A comprehensive testing framework ensures that your models consistently deliver accurate and reliable data, while modularity enables faster development via component reusability. Combined, these features can improve your data team’s velocity, ensure higher data quality, and empower team members to assume ownership.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. To make good on this potential, healthcare organizations need to understand their data and how they can use it. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

FineReport

JULY 18, 2022

Except for the rows and columns, you can also display your data through graphs and charts. For more advanced data analysis, Excel provides you with pivot tables, enabling you to analyze structured data through multiple dimensions quickly and effectively. Price: Excel is not a free tool. RapidMiner. Apache Spark.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Companies are building data infrastructure in the cloud: 85% indicated they have data infrastructure in at least one cloud provider. Seriously, Ben gets credit for foresight on how to organize those surveys.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

DECEMBER 17, 2024

Prevent the inclusion of invalid values in categorical data and process data without any data loss. Conduct data quality tests on anonymized data in compliance with data policies Conduct data quality tests to quickly identify and address data quality issues, maintaining high-quality data at all times.

Data Quality 91

Data Quality Testing Metrics Optimization 91

erwin

MAY 7, 2025

And in the AI race, many companies are cutting corners on data architecture. Unrealistic deadlines and competitive pressures are pushing teams to prioritize speed over structure. But without a solid foundation built on data quality for AI, lineage, integrity and governance, AI models are doomed to fail before they even start.

Data Quality 52

Data Quality Machine Learning Data Governance Metadata 52

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. This test aims to have low latency on ingestion but will lead to hundreds of millions of small files. For instructions, see Create a VPC.

Data Lake 98

Data Lake IoT Metadata Testing 98

CIO Business Intelligence

APRIL 1, 2025

In CIOs 2024 Security Priorities study, 40% of tech leaders said one of their key priorities is strengthening the protection of confidential data. Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations. Ravinder Arora elucidates the process to render data legible.

Data-driven 59

Data-driven Data Quality Data Governance Business Objectives 59

AWS Big Data

FEBRUARY 25, 2025

If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema. This output is passed to next phase where data transformations and business validations can be applied. After this step, data is loaded to specified target.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

CIO Business Intelligence

APRIL 16, 2025

But what kind of data do you need for a solid use case? We used to need structured data because our machine learning models expected field-level information. Today, we dont care if the data is structured because we can ingest it all, whether images, recordings, documents, PDF files, or large data lakes.

ROI 71

ROI Measurement Testing Data Lake 71