Dataconomy

SEPTEMBER 4, 2023

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. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Flipboard

NOVEMBER 27, 2024

The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated. Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization.

ETL 135

ETL Data Warehouse Analytics Analytics 135

Data Science Blog

MARCH 13, 2024

Er erläutert, wie Unternehmen die Disziplinen Data Science , Business Intelligence , Process Mining und KI zusammenführen können, und warum Interim Management dazu eine gute Idee sein kann. Diese Fragen beantwortet Benjamin Aunkofer (Gründer von DATANOMIQ und AUDAVIS ) im Interview mit Atreus Interim Management.

Data Science 162

Data Science Business Intelligence Business Intelligence Data Scientist 162

Data Science Blog

MAY 15, 2023

Data Lakehouse Architecture Eine kurze Geschichte des Data Lakehouse Das Konzept des Data Lakehouse ist relativ neu und entstand Mitte der 2010er Jahre als Reaktion auf die Einschränkungen des traditionellen Data Warehousing und die wachsende Beliebtheit von Data Lakes.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

IBM Journey to AI blog

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

The Data Administration Newsletter

DECEMBER 20, 2022

Your security team has plenty of challenges, but securing and protecting your data with consistent, granular, and automated enforcement across your hybrid cloud data estate shouldn’t be one of them. The traditional scope […].

Cloud Data 52

Cloud Data Big Data Big Data Business Intelligence 52

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Precisely

APRIL 3, 2023

It simply wasn’t practical to adopt an approach in which all of an organization’s data would be made available in one central location, for all-purpose business analytics. To speed analytics, data scientists implemented pre-processing functions to aggregate, sort, and manage the most important elements of the data.

ETL 52

ETL Analytics Analytics Database 52

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

The Data Administration Newsletter

JANUARY 20, 2021

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions.

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Azure Database Big Data Big Data 98

Alation

AUGUST 5, 2021

Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their business intelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data.

Data Quality 52

Data Quality Data Governance Artificial Intelligence Artificial Intelligence 52

phData

JULY 10, 2024

Sigma Computing is a cloud-based business intelligence and analytics tool for collaborative data exploration, analysis, and visualization. Unlike traditional BI tools, its user-friendly interface ensures that users of all technical levels can seamlessly interact with data.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. The Tableau Prep Builder helps clean, shape, and combine data from multiple sources.

Big Data 52

Big Data Big Data Power BI Tableau 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

JANUARY 21, 2025

Summary: This blog delves into the various types of data warehouses, including Enterprise Data Warehouses, Operational Data Stores, Data Marts, Cloud Data Warehouses, and Big Data Warehouses. Each type serves distinct purposes and plays a crucial role in effective data management and analysis.

Data Warehouse 52

Data Warehouse Big Data Big Data Cloud Data 52

Pickl AI

FEBRUARY 9, 2025

As a software suite, it encompasses a range of interconnected products, including Tableau Desktop, Server, Cloud, Public, Prep, and Data Management, and Reader. At its core, it is designed to help people see and understand data. It disrupts traditional business intelligence with intuitive, visual analytics for everyone.

Tableau 52

Tableau Analytics Analytics Data Preparation 52