Dataversity

NOVEMBER 2, 2023

Among these advancements is modern data warehousing, a comprehensive approach that provides access to vast and disparate datasets. The concept of data warehousing emerged as organizations began to […] The post The Data Warehouse Development Lifecycle Explained appeared first on DATAVERSITY.

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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 […]. Click to learn more about author Wayne Yaddow.

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Data Warehouse Data Governance Data Modelling Data Quality 130

Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

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Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

MARCH 10, 2023

Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […] The post A Powerful Pair: Modern Data Warehouses and Machine Learning appeared first on DATAVERSITY.

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Data Warehouse Artificial Intelligence Predictive Analytics Data Architecture 130

Dataversity

AUGUST 9, 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 Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

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Data Warehouse Data Governance Government Data Quality 130

Dataversity

AUGUST 9, 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 Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

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Data Warehouse Data Governance Government Data Quality 130

Dataversity

APRIL 21, 2022

SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […].

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Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

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Dataversity

MAY 6, 2022

An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].

Digital 246

Digital Data Warehouse Customer Experience Customer Experience 246

Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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Dataversity

SEPTEMBER 20, 2024

However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured.

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Dataversity

JUNE 24, 2022

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

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Data Modelling Data Warehouse Data Architecture Planning 130

Dataversity

SEPTEMBER 5, 2024

… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.”

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ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology.

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Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology. Rapid Deployment.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

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.

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Data Quality Data Warehouse Data Governance Data Architecture 130

Dataversity

MAY 28, 2024

Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.

Data Warehouse 130

Data Warehouse Data Architecture Data Security Cybersecurity 130

Dataversity

JUNE 6, 2024

Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture.

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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.

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Data Warehouse Data Governance Data Architecture Data Quality 147

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.

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Dataversity

FEBRUARY 7, 2022

Data paradigms are changing. The concept of a data warehouse as the only solution for integrating data sources should be questioned. This approach is increasingly at odds with the realities of how data is transacted and used in enterprises. Instead of a few data sources, there can be 20, 30, 40, even more.

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Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

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Data Warehouse Big Data Data Architecture Data Management 147

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.

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Data Warehouse Government Innovation Artificial Intelligence 130

Dataversity

MAY 2, 2022

Your natural instinct might be to use what you know, like PostgreSQL or MySQL or even extend a data warehouse beyond its core BI dashboards and reports. If you’re building an analytics application for customers, then you’re probably wondering: What’s the right database backend? But analytics for external […].

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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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Monitoring Data Warehouse Data Quality Data Governance 130

Dataversity

SEPTEMBER 16, 2022

From the humble data warehouse to the lake and swamp to potentially an ocean of data, take your pick where you want to drown yourself. The post 4 Critical Elements of a Customer-Centric Data Strategy appeared first on DATAVERSITY. Due to poor communication and misalignment […].

Data Warehouse 130

Data Warehouse Data Architecture 130

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Vidya Setlur.

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Chief Data Officer Supply Chain Government Data Architecture 98

Tableau

FEBRUARY 14, 2022

Editor’s note: This article originally appeared in Forbes. Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Vidya Setlur.

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Chief Data Officer Supply Chain Government Data Architecture 95

Dataversity

FEBRUARY 18, 2022

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.

Data Mining 130

Data Mining Big Data Data Warehouse Data Visualization 130

Dataversity

NOVEMBER 25, 2022

At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. In this article, we will discuss how a modern […].

Cloud Computing 130

Cloud Computing Data Warehouse Data Architecture Data Analytics 130

Dataversity

NOVEMBER 6, 2024

As businesses grow, so does the complexity of managing and analyzing data. Traditionally, relational database management systems (RDBMS) have been the backbone of data storage, offering robust and reliable transactional capabilities.

Data Warehouse 147

Data Warehouse Data Architecture 147

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. How does data integration work?

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Data Warehouse Finance Data Architecture Banking 52

Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

Data Warehouse 246

Data Warehouse Data Architecture Business Intelligence Business Intelligence 246

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 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.

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