phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Implementing a data catalog first will make MDM more successful.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Precisely

MARCH 7, 2024

According to a 2023 study from the LeBow College of Business , data enrichment and location intelligence figured prominently among executives’ top 5 priorities for data integrity. 53% of respondents cited missing information as a critical challenge impacting data quality. What is data integrity?

Data Quality 52

Data Quality Database Administration Data Governance Analytics 52

Pickl AI

AUGUST 11, 2024

Additionally, it addresses common challenges and offers practical solutions to ensure that fact tables are structured for optimal data quality and analytical performance. Introduction In today’s data-driven landscape, organisations are increasingly reliant on Data Analytics to inform decision-making and drive business strategies.

Data Quality 52

Data Quality Data Warehouse Data Governance Business Intelligence 52

Alation

MAY 31, 2023

They collaborate with IT professionals, business stakeholders, and data analysts to design effective data infrastructure aligned with the organization’s goals. Their broad range of responsibilities include: Design and implement data architecture. Maintain data models and documentation.

Data Governance 52

Data Governance Data Quality Data Silos Data Modeling 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Pickl AI

AUGUST 9, 2024

Hierarchies align data modelling with business processes, making it easier to analyse data in a context that reflects real-world operations. Designing Hierarchies Designing effective hierarchies requires careful consideration of the business requirements and the data model.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

phData

JUNE 27, 2023

Now that your data is loaded in using dbt, one can see the data displayed in Sigma itself, allowing the user to verify how up-to-date their data is. Data Quality View dbt quality tests on columns and models, providing precision and transparency into your data quality questions and concerns – What a relief.

SQL 52

SQL Database Data Quality Data Warehouse 52

Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Introduction In today’s business landscape, data integration is vital. More For You To Read: 10 Data Modeling Tools You Should Know.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Pickl AI

DECEMBER 4, 2023

Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. Think of data governance as the rules and regulations governing the kingdom of information. It ensures data quality , integrity, and compliance.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

APRIL 10, 2023

A truly governed self-service analytics model puts data modeling responsibilities in the hands of IT and report generation and analysis in the hands of business users who will actually be doing the analysis. Business users build reports on an IT-owned and IT-created data model that is focused on reporting solutions.

Analytics 52

Analytics Analytics Data Governance Data Modeling 52

Heartbeat

DECEMBER 7, 2023

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. What is Data Mesh?

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Pickl AI

MAY 11, 2023

In this blog, we have covered Data Management and its examples along with its benefits. What is Data Management? Before delving deeper into the process of Data Management and its significance, let’s scratch the surface of the Data Management definition.

Data Warehouse 52

Data Warehouse Data Governance Big Data Big Data 52

AWS Machine Learning Blog

AUGUST 21, 2023

The capabilities of Lake Formation simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control. Solution overview We demonstrate this solution with an end-to-end use case using a sample dataset, the TPC data model. compute.internal.

AWS 98

AWS Data Lakes Clustering Data Preparation 98

DagsHub

OCTOBER 23, 2024

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Mlearning.ai

NOVEMBER 29, 2023

GP has intrinsic advantages in data modeling, given its construction in the framework of Bayesian hierarchical modeling and no requirement for a priori information of function forms in Bayesian reference. Taking things step by step here is crucial for smooth, high-quality predictive time modeling and resulting forecasting.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

The MLOps Blog

APRIL 17, 2023

For example, GDPR requires your organization to collect and keep track of metadata about the datasets and to document and report how the resulting model(s) from experiments work. You don’t want to end up in a situation where you need to rewrite a system due to some shortcuts you took early on when only one data scientist was using it.

Data Scientist 52

Data Scientist ML ML Machine Learning 52

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. In this way, data governance is the business or process side. This is a very good thing.

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly. It promotes a disciplined approach to data modeling, making it easier to ensure data quality and consistency across the ML pipelines. The following figure shows schema definition and model which reference it.

AWS 128

AWS Machine Learning Machine Learning ML 128

phData

NOVEMBER 13, 2023

Sidebar Navigation: Provides a catalog sidebar for browsing resources by type, package, file tree, or database schema, reflecting the structure of both dbt projects and the data platform. Version Tracking: Displays version information for models, indicating whether they are prerelease, latest, or outdated.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Pickl AI

JUNE 11, 2024

They offer a focused selection of data, allowing for faster analysis tailored to departmental goals. Metadata This acts like the data dictionary, providing crucial information about the data itself. Metadata details the source of the data, its definition, and how it relates to other data points within the warehouse.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

phData

JULY 18, 2023

Enter dbt dbt provides SQL-centric transformations for your data modeling and transformations, which is efficient for scrubbing and transforming your data while being an easy skill set to hire for and develop within your teams. It should also enable easy sharing of insights across the organization. Read more here.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

phData

SEPTEMBER 1, 2023

By combining data from disparate systems, HCLS companies can perform better data analysis and make more informed decisions. See how phData created a solution for ingesting and interpreting HL7 data 4. Data Quality Inaccurate data can have negative impacts on patient interactions or loss of productivity for the business.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52