Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. If storage costs are escalating in a particular area, you may have found a good source of dark data. Data sense-making. Create a catalog.

Chief Data Officer 338

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 338

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

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

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

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 246

Data Warehouse E-Commerce Real-time Data Data Architecture 246

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

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

Dataversity

NOVEMBER 29, 2021

There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures.

Data Warehouse 130

Data Warehouse Government Innovation Artificial Intelligence 130

Astera

JANUARY 29, 2024

These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. “Data privacy is becoming more and more important as our data resides with so many companies. The impact of industry regulations. Balancing the benefits and risks of AI.

Government 145

Government Data Warehouse Data Governance Digital 145

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

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. Governance and control.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

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

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

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

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

BizAcuity

JULY 13, 2021

Fraud Detection: AI records the data of users and their gambling activities and collectively determines cheating methods by flagging its suspicious occurrence and therefore, suspending accounts for further investigation. Data Enrichment/Data Warehouse Layer. Data Analytics Layer. Data Visualization Layer.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

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 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 130

Data Warehouse E-Commerce Real-time Data Data Architecture 130

BizAcuity

APRIL 1, 2023

Introduction Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services.

Data Warehouse 130

Data Warehouse Government Documentation Monitoring 130

BizAcuity

APRIL 14, 2022

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. With the amount of data being accumulated, it is easier when said.

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

BI Insight

MAY 16, 2024

Managing data connections in Microsoft Fabric can be challenging if you’re unsure where to start. This blog post and its detailed YouTube video will help you find, manage, and share the existing data connections, making your workflow more efficient and streamlined.

Data Warehouse 202

Data Warehouse Government 202

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

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

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

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

Sisense

JUNE 8, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. The answer is “cloud-first analytics.”

Data Warehouse 89

Data Warehouse Government Digital Transformation Big Data 89

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Data Warehouse 162

Data Warehouse Government Planning Monitoring 162

BizAcuity

DECEMBER 28, 2022

Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services. Data is moved from many databases to the Data warehouse.

Data Warehouse 100

Data Warehouse Government Documentation Monitoring 100