Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

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. in an enterprise data warehouse. What is a Datamart?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

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

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

AUGUST 16, 2023

In the era of data modernization, organizations face the challenge of managing vast volumes of data while ensuring data integrity, scalability, and agility. What is a Data Vault Architecture? It is agile, scalable, no pre-modeling required, and well-suited for fluid designs. Using dbt is one of the best choices.

Data Warehouse 52

Data Warehouse Data Governance SQL Data Modeling 52

Precisely

OCTOBER 23, 2023

Very often, key business users conflate MDM with various tasks or components of data science and data management. Others regard it as a data modeling platform. Still others think of MDM as a merge-and-match exercise, a data quality tool, or a workflow engine. MDM is another downstream data warehouse.”

Data Quality 110

Data Quality Data Warehouse Analytics Analytics 110

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Perform data quality monitoring based on pre-configured rules.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. dbt has become the standard for modeling.

Data Warehouse 52

Data Warehouse Cloud Data Data Modeling Data Models 52

Pickl AI

AUGUST 11, 2024

To handle sparse data effectively, consider using junk dimensions to group unrelated attributes or creating factless fact tables that capture events without associated measures. Ensuring Data Consistency Maintaining data consistency across multiple fact tables can be challenging, especially when dealing with conformed dimensions.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 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 Modeling 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

phData

AUGUST 10, 2023

In data vault implementations, critical components encompass the storage layer, ELT technology, integration platforms, data observability tools, Business Intelligence and Analytics tools, Data Governance , and Metadata Management solutions. Data Acquisition: Extracting data from source systems and making it accessible.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

phData

JULY 10, 2024

Unlike traditional BI tools, its user-friendly interface ensures that users of all technical levels can seamlessly interact with data. The platform’s integration with cloud data warehouses like Snowflake AI Data Cloud , Google BigQuery, and Amazon Redshift makes it a vital tool for organizations harnessing big data.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: How do you use these models? Happy to chat.

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

Alation

FEBRUARY 13, 2020

Modern data catalogs—originated to help data analysts find and evaluate data—continue to meet the needs of analysts, but they have expanded their reach. They are now central to data stewardship, data curation, and data governance—all metadata dependent activities. But data catalogs do much more.

Data Lakes 52

Data Lakes Data Governance Data Science Data Analyst 52

Pickl AI

MAY 11, 2023

The Data Steward is responsible for the same. Their prime focus is to keep a tab on data collection and ensure that the exchange and movement of data are as per the policies. Data Modeling These are simple diagrams of the system and the data stored in it.

Data Warehouse 52

Data Warehouse Data Governance Big Data Big Data 52

Alation

DECEMBER 21, 2022

MDM is a discipline that helps organize critical information to avoid duplication, inconsistency, and other data quality issues. Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Storage and Management Data Engineers design and implement storage solutions for different types of data, be it structured, semi-structured, or unstructured. They work with databases and data warehouses to ensure data integrity and security.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Internet of Things 97

Internet of Things Data Silos Data Lakes Data Warehouse 97

Pickl AI

MAY 7, 2024

Their tasks encompass: Data Collection and Extraction Identify relevant data sources and gather data from various internal and external systems Extract, transform, and load data into a centralized data warehouse or analytics platform Data Cleaning and Preparation Cleanse and standardize data to ensure accuracy, consistency, and completeness.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Dataversity

FEBRUARY 17, 2021

Click to learn more about author Steve Zagoudis. Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.” – Russell L.

Data Warehouse 52

Data Warehouse Data Governance Data Quality Data Modeling 52

Pickl AI

JUNE 11, 2024

Summary: A data warehouse is a central information hub that stores and organizes vast amounts of data from different sources within an organization. Unlike operational databases focused on daily tasks, data warehouses are designed for analysis, enabling historical trend exploration and informed decision-making.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

phData

APRIL 20, 2023

In today’s world, data-driven applications demand more flexibility, scalability, and auditability, which traditional data warehouses and modeling approaches lack. This is where the Snowflake Data Cloud and data vault modeling comes in handy. What is Data Vault Modeling?

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing.

Data Science 145

Data Science Data Warehouse Analytics Analytics 145

Women in Big Data

DECEMBER 9, 2024

Qlik Sense – Qlik Sense is a powerful business intelligence and data visualization tool designed to facilitate data exploration, visualization, and storytelling. Google Looker – Lookers user experience is generally considered more technical due to its reliance on LookML which is Lookers modeling language for data modeling.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

MAY 13, 2024

Difficulty in moving non-SAP data into SAP for analytics which encourages data silos and shadow IT practices as business users search for ways to extract the data (which has data governance implications). Additionally, change data markers are not available for many of these tables.

Database 52

Database Analytics Analytics Machine Learning 52

Precisely

OCTOBER 16, 2023

The cloud is especially well-suited to large-scale storage and big data analytics, due in part to its capacity to handle intensive computing requirements at scale. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions. Secure data exchange takes on much greater importance.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72