Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

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Data Warehouse Data Quality Data Governance Artificial Intelligence 147

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 […].

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Data Warehouse Data Governance Data Quality Data Modelling 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.

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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

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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

Business Analysis Knowledge Share

OCTOBER 24, 2023

No longer confined to generating reports and analyzing historical data , Business Analysts are now expected to provide strategic insights that can drive decision-making and business growth. To excel in this role, it’s crucial for Business Analysts to have a solid understanding of Data Warehousing concepts.

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IBM Maintenance Data Warehouse IBM cost Data Quality 73

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 144

Data Warehouse Data Governance Data Architecture Data Quality 144

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? Should you stay with your existing traditional data warehouse provider as they try to convince you to stay on-premise with their latest appliance?

Data Warehouse 40

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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 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

Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

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Astera

JANUARY 2, 2024

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. But what exactly is data management? What Is Data Management? It essentially supports the overall data governance policy.

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Data Management Data Warehouse Data Governance Data Quality 52

Dataversity

MAY 31, 2021

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. Welcome to the Dear Laura blog series! Last year I wrote […].

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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)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

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.

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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 […].

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Data Warehouse Data Quality Data Governance Government 173

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in this article, we will explore some of the best alternatives to Fivetran. Award-winning customer support.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

JANUARY 18, 2024

In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between  data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative? EDIConnect for EDI management. Download Trial

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

GAVS Technology

JUNE 2, 2021

As per Gartner, the data fabric approach can enhance traditional data management patterns and replace them with a more responsive approach. As it is key for the enterprise data management strategy, let us understand more about the details of data fabric in this article. What is Data Fabric? Data Lakes.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Users can access sophisticated BI tools without a lot of training.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Users can access sophisticated BI tools without a lot of training.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’ , we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Data Source and Data Structural Review.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

The Data Administration Newsletter

MAY 16, 2023

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.

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Data Quality Data Warehouse Master Data Management Data Governance 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.

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Data Warehouse Data Governance Data Architecture Government 52

Astera

JUNE 6, 2023

Implementing scalable ETL architectures enables organizations to unlock the potential of their data repositories, facilitating timely and valuable insights for informed decision-making. This article delves into the complexities of building and optimizing scalable ETL architectures to meet the demands of modern data processing.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Accomplish!

Data Discovery 130

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ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Accomplish!

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives. Data Access.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 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

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. With these golden rules, data is everyone's business at Schneider Electric—not just an IT process. Vidya Setlur. Director of Research, Tableau.

Chief Data Officer 73

Chief Data Officer Supply Chain Government Data Architecture 73

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. With these golden rules, data is everyone's business at Schneider Electric—not just an IT process. Vidya Setlur. Director of Research, Tableau.

Chief Data Officer 71

Chief Data Officer Supply Chain Government Data Architecture 71

Astera

JUNE 13, 2023

Data pipelines are a fundamental element in today’s technology landscape, providing seamless data movement and valuable insights for businesses. In this article, we will explore the concept of data pipelines, their key components, and the various use cases and benefits they offer.

E-Commerce 52

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

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Online analytical processing is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store. Data Wrangling.

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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.

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Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

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