ElegantJ BI

APRIL 28, 2021

In the second of these two articles entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’, we discuss the various factors and considerations that a business should include when it is ready to choose a data management solution. Think of a Data Mart as a ‘subject’ or ‘concept’ oriented data repository.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

In the second of these two articles entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’, we discuss the various factors and considerations that a business should include when it is ready to choose a data management solution. Data Warehouse. Data Lake.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Each business often uses one or more data […].

Data Warehouse 130

Data Warehouse Data Governance Data Modelling Data Quality 130

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

MAY 31, 2021

Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The post Dear Laura: Should We Hire Full-Time Data Stewards? Click to learn more about author Laura Madsen. Last year I wrote […].

Data Governance 246

Data Governance Government Master Data Management Data Warehouse 246

Dataversity

NOVEMBER 1, 2021

Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The post Building a Grassroots Data Management and Data Governance Program appeared first on DATAVERSITY.

Data Governance 130

Data Governance Government Data Management Master Data Management 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 Management 130

Data Management Data Warehouse Government Data Governance 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 Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 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 Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

Data Warehouse 173

Data Warehouse Data Quality Data Governance Government 173

Astera

JANUARY 29, 2024

Their perspectives offer valuable guidance for enterprises striving to safeguard their data in 2024 and beyond. These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. The impact of industry regulations. Emergence of new technologies.

Government 145

Government Data Warehouse Data Governance Digital 145

Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality 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

Dataversity

MARCH 2, 2022

Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical.

Data Quality 130

Data Quality Data Warehouse Data Governance Data Architecture 130

Dataversity

FEBRUARY 13, 2024

Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. You’re not alone.

Data Warehouse 147

Data Warehouse Data Governance Data Architecture Data Quality 147

Domo

JUNE 15, 2022

And thanks to Domo’s Data Governance Toolkit , you can maintain data health and accuracy, no matter where it goes. . Here’s a more detailed look at the primary ways Domo’s multi-cloud capabilities can benefit your business: 1 – Integrate more data, faster.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

BizAcuity

APRIL 14, 2022

For example, one company let all its data scientists access and make changes to their data tables for report generation, which caused inconsistency and cost the company significantly. The best way to avoid poor data quality is having a strict data governance system in place. Enterprise Big Data Strategy.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

FEBRUARY 10, 2023

It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes.

Data Warehouse 130

Data Warehouse Data Quality Data Governance Data Architecture 130

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. Data governance and security measures are critical components of data strategy.

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. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

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. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

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

Domo

MAY 24, 2021

To ensure harmony, here are some key points to consider as you are weighing cloud data integration for analytics: Act before governance issues compound. There are limits to data lake and data warehouse configurations, especially when these limitations scale due to company size and complexity within the organization.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

Monitoring 130

Monitoring Data Warehouse Data Quality Data Governance 130

Domo

APRIL 30, 2021

Data integration, not application integration. Organizations need the ability to integrate all data sources—clouds, applications, servers, data warehouses, etc. Enterprises may try to resolve the data integration issue through application integration and system orchestration.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

The Data Administration Newsletter

FEBRUARY 1, 2022

In this blog, we will discuss a common problem for data warehouses that are designed to maintain data quality and provide evidence of accuracy. Without verification, the data can’t be trusted. Enter the mundane, but necessary, task of data reconciliation. This is often a time-consuming and wasteful process.

Government 59

Government Data Warehouse Data Quality Data Governance 59

Astera

AUGUST 29, 2024

It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. Identifying Issues Effective data integration manages risks associated with M&A. It includes: Identifying Data Sources involves determining the specific systems and databases that contain relevant data.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Domo

JULY 8, 2021

Domo allows you to integrate seamlessly with cloud data warehouses such as Snowflake and Amazon Redshift with both federated data queries and a native integration, so there’s no need to move data to make it accessible for business intelligence.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 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

Domo

JULY 1, 2021

As you review new features, consider where your data has potential for exposure. With every new feature that is released, from low-code apps to cloud data warehouse integrations to embedded analytics, Domo bakes in ongoing review of security standards to ensure security compliance.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Dataversity

SEPTEMBER 11, 2023

Organizations have become highly data-centric in the past years, increasing complications and costs as the volume of data rose. However, data integrity issues alone cost organizations $12.9 million annually, on average, according to Gartner.

Data Warehouse 264

Data Warehouse Data Architecture Data Governance Government 264

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Digital Transformation 246

Digital Transformation Digital Data Management Data Warehouse 246

Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

Digital Transformation 246

Digital Transformation Digital Data Warehouse Data Governance 246

Actian

SEPTEMBER 30, 2019

This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series has explored each of these trends in greater detail. You can find the complete blog series by visiting Data @ Work , the official Actian blog.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 30, 2019

This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series has explored each of these trends in greater detail. You can find the complete blog series by visiting Data @ Work , the official Actian blog.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8