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 52

Data Warehouse ETL Data Governance Data Quality 52

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 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

The Data Administration Newsletter

MAY 7, 2025

In the ever-evolving world of data management, the terms data lake, data warehouse, and data lakehouse are frequently discussed. This article aims to define these terms, highlight their differences, delve into their histories, and provide examples to help readers understand which […]

Data Lakes 52

Data Lakes Data Warehouse Data Governance 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance ETL Machine Learning Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

As data lakes gain prominence as a preferred solution for storing and processing enormous datasets, the need for effective data version control mechanisms becomes increasingly evident. Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.

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databricks

JUNE 4, 2025

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! These sessions will provide insights into the latest advancements in generative AI, data governance, AI workloads, and more.

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Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineering 52

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

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Dataconomy

MAY 26, 2025

The role of a chief data officer (CDO) has transformed remarkably over the years, reflecting the increasing significance of data in strategic decision-making. As organizations generate and leverage massive amounts of data, the CDO has risen to become a critical asset in navigating this complex landscape.

Data Warehouse 91

Data Warehouse Analytics Analytics Data Governance 91

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 52

Data Governance Data Silos Data Warehouse Data Quality 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance ETL Machine Learning Machine Learning 40

Dataconomy

MAY 27, 2025

For individuals who aspire to use data to drive positive change, an MIS degree is a solid foundation. This article examines how an MIS degree builds know-how at the intersection of business and analytics, and why that intersection matters more than ever. Embracing the ethics of data use Accountability comes with technical progress.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Dataconomy

APRIL 6, 2023

By democratizing data, organizations can create a more open and transparent culture around data, where everyone has access to the information they need to make informed decisions. What is data democratization? This can lead to better data governance practices and, ultimately, more accurate insights.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

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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Data Governance Data Warehouse Data Quality 98

IBM Journey to AI blog

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineering Data Engineering 58

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 69

Data Warehouse Data Lakes Data Profiling Data Quality 69

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 52

Data Quality Data Warehouse Cloud Data Data Governance 52

Pickl AI

OCTOBER 17, 2024

Summary: This article explores the significance of ETL Data in Data Management. It highlights key components of the ETL process, best practices for efficiency, and future trends like AI integration and real-time processing, ensuring organisations can leverage their data effectively for strategic decision-making.

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ETL Data Warehouse Data Quality Data Governance 52

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling.

Power BI 52

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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.

Data Warehouse 59

Data Warehouse Data Quality Data Governance 59

Dataconomy

FEBRUARY 23, 2023

Collecting, storing, and processing large datasets Data engineers are also responsible for collecting, storing, and processing large volumes of data. This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

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 Lakes 52

Data Lakes Data Warehouse Data Governance Business Intelligence 52

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 59

Data Warehouse Analytics Analytics Data Governance 59

Alation

JULY 22, 2021

Our platform combines data insights with human intelligence in pursuit of this mission. Susannah Barnes, an Alation customer and senior data governance specialist at American Family Insurance, introduced our team to faculty at the School of Information Studies of the University of Wisconsin, Milwaukee (UWM-SOIS), her alma mater.

Big Data 98

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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 Lakes 52

Data Lakes Data Warehouse Data Quality Data Governance 52

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance. The Plan in Action.

Data Governance 52

Data Governance Data Warehouse Data Classification Cloud Data 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

NOVEMBER 4, 2024

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. What is Data Engineering? million by 2028.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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.

Data Quality 52

Data Quality Data Warehouse Data Governance 52

Dataconomy

APRIL 6, 2023

By democratizing data, organizations can create a more open and transparent culture around data, where everyone has access to the information they need to make informed decisions. What is data democratization? This can lead to better data governance practices and, ultimately, more accurate insights.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

IBM Journey to AI blog

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Lakes 73

Data Lakes AI AI Data Governance 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.

AI 98

AI AI Tableau Data Scientist 98

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Complex data management is on the rise.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 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.

Data Pipeline 52

Data Pipeline Data Warehouse Data Quality Data Observability 52

Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. Prior to the Big Data revolution, companies were inward-looking in terms of data. Access the original article here.

Data Governance 52

Data Governance Data Science Data Warehouse Analytics 52

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.

AI 95

AI AI Tableau Data Scientist 95

Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

Data Warehouse 52

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