Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business. Tableau Pulse: Tableau Pulse metrics can be directly connected to dbt models and metrics.

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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

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner.

Tableau 138

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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

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Advantages: Consistency ensures trust in data governance.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Alation

APRIL 26, 2021

In your organization, are you ever confused by different definitions of business terms? If you’re thinking “business term definitions” are straightforward, think again. A business glossary helps an organization agree and align on internal definitions. List of business terms and their definitions.

Database 52

Database Machine Learning Machine Learning Data Wrangling 52

phData

APRIL 10, 2023

This decision-making process is exactly what governed self-service analytics is all about. 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.

Analytics 52

Analytics Analytics Data Governance Data Models 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

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Pickl AI

AUGUST 11, 2024

Consider factors such as data volume, query patterns, and hardware constraints. Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. Establish data governance policies and processes to ensure consistency in definitions, calculations, and data sources.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Alation

DECEMBER 21, 2022

Early on, analysts used data catalogs to find and understand data more quickly. Increasingly, data catalogs now address a broad range of data intelligence solutions, including self-service analytics , data governance , privacy , and cloud transformation. MDM Model Objects.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Precisely

MARCH 7, 2024

Many people use the term to describe a data quality metric. Technical users, including database administrators, might tell you that data integrity concerns whether or not the data conforms to a pre-defined data model. To be sure, data quality is a critically important part of that picture.

Data Quality 52

Data Quality Database Administration Analytics Analytics 52

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Enabling workers to find the right data is crucial to promoting self-service analytics.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Dataconomy

MARCH 6, 2023

This includes its business processes, technology infrastructure, and data architecture. Definition of enterprise architecture Enterprise architecture is the process of creating and managing a holistic view of an organization’s current and future state. It includes data models, data flows, and data governance policies.

Data Governance 103

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Pickl AI

DECEMBER 4, 2023

Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence 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. The Data Steward is responsible for the same.

Data Warehouse 52

Data Warehouse Data Governance Big Data Big Data 52

AWS Machine Learning Blog

AUGUST 21, 2023

Our customers wanted the ability to connect to Amazon EMR to run ad hoc SQL queries on Hive or Presto to query data in the internal metastore or external metastore (such as the AWS Glue Data Catalog ), and prepare data within a few clicks. internal in the certificate subject definition. compute.internal.

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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 Data Lakes AI 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 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. However, merely knowing what it consists of isn’t enough.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

phData

SEPTEMBER 1, 2023

Sigma and Snowflake offer data profiling to identify inconsistencies, errors, and duplicates. Data validation rules can be implemented to check for missing or invalid values, and data governance features like data lineage tracking, reusable data definitions, and access controls ensure that data is managed in a compliant and secure manner.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Dataconomy

MARCH 19, 2025

Canonical schema refers to a standardized and uniform approach to data modeling applicable across various systems. It provides a common framework that allows disparate systems to understand and process data uniformly, which is vital in environments where data needs to be shared and analyzed across multiple platforms.

Data Models 91

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