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Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or DataArchitecture. The post Data Governance, Data Leadership or DataArchitecture: What Matters Most?
In the contemporary data-driven business landscape, the seamless integration of dataarchitecture with business operations has become critical for success.
Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […] The post Enterprise Data World 2024 Takeaways: Trending Topics in DataArchitecture and Modeling appeared first on DATAVERSITY.
Open-source technologies will become even more prominent within enterprises’ dataarchitecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.
In the buzzing world of dataarchitectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back.
Companies are currently in the midst of a significant paradigm shift, where they are faced with the decision to either over-complicate their dataarchitecture or opt for a single cloud solution.
According to the Bureau of Labor Statistics, the outlook for jobs around managing dataarchitecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032.
Learn about data strategy pitfalls A few words about data strategy Elements of Strategy A solid strategy outlines how an organization collects, processes, analyzes, and uses data to achieve its goals. If you have just started reading my blog, I must indicate that you can find many other helpful materials on a blog page.
This statistic underscores the urgent need for robust data platforms and governance frameworks. A successful data strategy outlines best practices and establishes a clear vision for dataarchitecture, […] The post Technical and Strategic Best Practices for Building Robust Data Platforms appeared first on DATAVERSITY.
The following blog post addresses some of the myths around the public cloud, including cost control obstacles, compliance shortfalls, […] The post Debunking Cloud and Cloud Migration Myths appeared first on DATAVERSITY. Many companies hesitate to migrate to the cloud for a variety of valid reasons.
In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable dataarchitecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.
In part one of this blog post, we described why there are many challenges for developers of data pipeline testing tools (complexities of technologies, large variety of data structures and formats, and the need to support diverse CI/CD pipelines).
BI business analysts integrate business needs with technical solutions, ensuring the dataarchitecture effectively supports business decisions. The usual jobs in this area include data analyst, BI analyst or BI developer, and data scientist. Is that your first visit to Passionate BA?
As artificial intelligence (AI) integrates with the Internet of Things (IoT), a trillion-dollar question emerges: Is it better to process device data at the edge or in the cloud? This decision carries significant implications for privacy, performance, and the future of smart devices.
Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?
My company’s 2024 Data Protection Trends report revealed that 75% of organizations experience […] The post Understanding the Importance of Data Resilience appeared first on DATAVERSITY. In recent years, the frequency and sophistication of cyberattacks have surged, presenting a formidable challenge to organizations worldwide.
Cloud computing has enabled many organizations to improve the scalability and flexibility of a variety of crucial business functions. As migration to cloud-based solutions gains momentum, understanding the total cost of cloud adoption is crucial.
But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. Think about it.
According to a CNBC CFO survey, CFOs seem to agree that […] The post Chief Officers: Do You Know What Your Data is Costing You? Not surprisingly, the economic forecast remains murky at best.
In our increasingly digital world, organizations recognize the importance of securing their data. As cloud-based technologies proliferate, the need for a robust identity and access management (IAM) strategy is more critical than ever.
However, these tools have also skewed our perceptions of what […] The post Is Your Data Ready for Generative AI? Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary.
The cost of data breaches alone is expected to reach $5 trillion, a growth of 11% from 2023. As shared in part one of this installment, the global marketplace faces an increasingly destructive cyber risk landscape each year, and 2024 is set to confirm this trend.
Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse.
Data is invaluable to an organization, but it can also represent a major stumbling block if an enterprise hasn’t optimized how data is used to support processes that run operations.
Master data lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.
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.
A recent example is the MOVEit breach, in which hackers stole data from customers of the MOVEit file transfer service. One reason for the parade […] The post Why Your Enterprise Needs Data-Centric Cybersecurity (and How to Achieve It) appeared first on DATAVERSITY. Hardly a week goes by without news of another cybercrime.
This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about data mesh. Data mesh represents a federated model of running your data program. I’m Mark Horseman, and welcome to The Cool Kids Corner.
As artificial intelligence (AI) continues to emerge as a key driver in nearly every sector, the need for trustworthy, secure data becomes even more crucial.
In today’s hyper-competitive business environment, data is one of the most valuable assets an organization can have. However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions.
OpenAI launched generative AI (GenAI) into the mainstream last year, and we haven’t stopped talking about it since – and for good reason. When done right, its benefits are indisputable, saving businesses time, money, and resources. Industries from customer service to technology are experiencing the shift.
Data storage plays a critical role in the current environmental landscape, and power and cooling requirements and expenses are now a substantial consideration in data center design.
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.
Although many leaders tout the benefits of cloud technologies for large enterprises, small to medium-sized businesses (SMBs) also stand […] The post Migrating Your Data to the Cloud? The transition to the cloud holds value for organizations of all sizes.
Companies such as BBC made it into the list of victims of the most significant data breaches in 2023, contributing to a staggering 5.3 So, it’s safe […] The post 7 Data Security Best Practices for Your Enterprise appeared first on DATAVERSITY. When it comes to cybersecurity, some enterprises still take it with a grain of salt.
We are no longer living in a security-first world: Its a data-centric one. Withdata breaches reaching record levels, regulatory frameworks lagging and companies scrambling to keep up, its no wonder enterprises struggle with controlling access to data.
Enterprise architecture (EA) can be a confusing term. To supply a business executive with a working definition, you might list that EA comprises the business functions, capabilities, processes, roles, physical and organizational structure, data stores and flows, applications, platforms, hardware, and communication.
Technology generates more and more data, regulators need to exercise more and more control, digital transformation is advancing, and traditional firms are changing and need to respond quickly to the new demands of regulators – not only to avoid sanctions but also to guard their processes and avoid security breaches and inconsistencies in their information (..)
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.
There’s a technological knack in the United States that’s only mirrored in a handful of other nations, making it a beacon of innovation. Businesses that grew to be formidable tech giants like Microsoft and Apple were spun out of their founders’ garages, growing from fledgling ideas into industry behemoths. But despite the U.S.
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Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.
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