Dataconomy

NOVEMBER 19, 2024

So, if we compare data to oil, it suggests everyone has access to the same data, though in different quantities and easier to harvest for some. This comparison makes data feel like a commodity, available to everyone but processed in different ways. It all actually started with business intelligence.

AI 113

AI AI Business Intelligence Business Intelligence 113

phData

NOVEMBER 9, 2023

This data mesh strategy combined with the end consumers of your data cloud enables your business to scale effectively, securely, and reliably without sacrificing speed-to-market. What is a Cloud Data Warehouse? For example, most data warehouse workloads peak during certain times, say during business hours.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Dataconomy

MAY 27, 2025

Courses that ground you in business logic MIS students often study accounting , finance , marketing , and organizational behavior alongside technical modules. This mix ensures they understand the language and priorities of business leaders. MIS curricula educate learners to develop business questions that can be answered with data.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Dataconomy

APRIL 27, 2023

However, with the evolution of the internet, the definition of transaction has broadened to include all types of digital interactions and engagements between a business and its customers. The core definition of transactions in the context of OLTP systems remains primarily focused on economic or financial activities.

Database 159

Database Data Scientist Data Mining Data Mining 159

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. A quick search on the Internet provides multiple definitions by technology-leading companies such as IBM, Amazon, and Oracle.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Better Data Culture.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

How to Learn Machine Learning

APRIL 26, 2025

Data Scientist: The Predictive Powerhouse The pure data scientists are the most demanded within all the Data Science career paths. This definition specifically describes the Data Scientist as being the predictive powerhouse of the data science ecosystem.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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

Pickl AI

AUGUST 1, 2023

The primary goal of Data Engineering is to transform raw data into a structured and usable format that can be easily accessed, analyzed, and interpreted by Data Scientists, analysts, and other stakeholders. Future of Data Engineering The Data Engineering market will expand from $18.2

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Alation

MAY 24, 2022

A business glossary is critical to aligning an organization around the definition of business terms. Robust data governance starts with understanding the definition of data. A unified glossary in the data catalog truly gives people a way to understand data.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

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 Cloud Data 52

Alation

DECEMBER 21, 2022

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. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Pickl AI

AUGUST 9, 2024

Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries. Document Hierarchy Structures Maintain thorough documentation of hierarchy designs, including definitions, relationships, and data sources.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device. The LLM generates output based on the user prompt.

AWS 126

AWS Natural Language Processing Machine Learning Machine Learning 126

phData

SEPTEMBER 5, 2023

Google Analytics 4 (GA4) is a powerful tool for collecting and analyzing website and app data that many businesses rely heavily on to make informed business decisions. Snowflake’s scalable architecture ensures high performance and efficient data handling. Need help setting up a data ingestion pipeline?

Azure 52

Azure Analytics Analytics Data Pipeline 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

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

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. There are four critical components needed for a successful migration: AI/ML models to automate the discovery and semantics of the data. On-premises business intelligence and databases. It’s not a simple definition.

Data Governance 59

Data Governance ML ML Cloud Data 59

Alation

JANUARY 26, 2023

Lack of data governance can summon a whole range of problems, including: Lack of consistency For data to be useful, it should be consistent across all areas. A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI).

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineer 52

Alation

AUGUST 26, 2021

And types of metadata — or data about data — abound. Some high-level metadata categories in a data catalog include: Behavioral : Records who is using data, and how they are using it. Technical: Shows schema or table definitions. Business: Policies on how to handle different kinds of data appropriately.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Organisationen können je nach ihren spezifischen Bedürfnissen und Anforderungen zwischen einem Data Warehouse und einem Data Lakehouse wählen.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

phData

MAY 6, 2025

Its functionality comprises standing as an intermediary between raw data and visualizations and, thereby, acts as the place to facilitate ease of data exploration and analysis. It represents a centralized, shared data definition, allowing aggregations and other transformations. Select Dataset from the dropdown menu.

SQL 52

SQL Database Data Warehouse Analytics 52