The Data Administration Newsletter

SEPTEMBER 14, 2021

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

Data Warehouse 91

Data Warehouse Data Management Business Intelligence Business Intelligence 91

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It is composed of user-friendly structures like star schemas that represent or data marts.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. As for the data pipeline tools , they should be easy to use and should offer a variety of features.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 92

Innovation Data Warehouse Data Architecture Visualization 92

ElegantJ BI

JULY 14, 2011

Would YOU Go on a Date with a Data Extraction and Data Management Expert? If all you get is a headache, you might want to consider dating a data extraction and management expert. No matter the size of your business or the industry, no matter your role within the business, you definitely have data management issues!

Data Management 100

Data Management Data Warehouse Business Intelligence Business Intelligence 100

Astera

JANUARY 13, 2023

That’s why many data architects are now inclining toward Extract, load, and transform (ELT), which offers greater scalability and performance compared to ETL. ELT is a modern data integration approach that has revolutionized the data management process. ELT in the Era of Cloud. ELT Tools Features.

Data Warehouse 52

Data Warehouse Data Management Big Data Business Intelligence 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

The Data Administration Newsletter

APRIL 19, 2022

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

Data Warehouse 72

Data Warehouse Data Modelling Data Management Business Intelligence 72

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

The Data Administration Newsletter

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture Government 52

Astera

NOVEMBER 27, 2023

In contrast, data mining involves exploring the data to discover hidden patterns, trends, and valuable insights using advanced techniques like machine learning. It’s the process of extracting meaningful information from the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Domo

JULY 8, 2021

It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

Astera

JUNE 13, 2023

This enables organizations to develop predictive analytics, automate processes, and unlock the power of artificial intelligence to drive their business forward. Business Intelligence Data pipelines support the extraction and transformation of data to generate meaningful insights. Find out How

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Actian

JUNE 17, 2019

For companies that want to develop a sustainable competitive advantage, they must start aggregating, organizing and refining their massive data stores into the real business intelligence that leads to better decisions and more efficient operations. “We We are struggling to convert data into actionable insights.”.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Technology that empowers historical data to shape the future.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? The answer lies in the concept of a single source of truth (SSOT).

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. What is a Data Warehouse?

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Data Pine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. Data integration. Data storage.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Data Pine

JANUARY 24, 2021

All of our experience has taught us that data analysis is only as good as the questions you ask. Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. ETL data warehouse*.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Domo

MAY 13, 2021

Step 1 – Putting context around data. Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. Taking all these into consideration, it is impossible to ignore the benefits that your business can endure from implementing BI tools into their data management process.

Business Intelligence 85

Business Intelligence Business Intelligence Embedded Analytics Predictive Analytics 85

Astera

JUNE 14, 2023

The process enables businesses to unlock valuable information hidden within unstructured documents. The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52