Big Data News, Articles, & Education

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Dec 4 2024

Combining IoT and Blockchain Technology to Enhance Security

The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars and fitness trackers, IoT devices are becoming prevalent across various industries and aspects of daily life. There are approximately 15.14 billion connected IoT devices in 2023, and this number is expected to grow to around […]

Data Crime: Your Phone Isn’t Here

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of data management to someone. The Story Last year, a […]

The Data-Centric Revolution: Dealing with Data Complexity

There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in this article that the central issue around which these others revolve is data complexity. It’s the complexity of data that creates and perpetuates these other problems. As we’ll see, it is a tractable problem that […]

Data Security in the Age of Cloud Computing

Once reliant on the limitations of physical hardware, businesses today have the ability to access and expand a virtual pool of cloud-based network services as needed. Before cloud computing services, business leaders would need to build their own data centers and servers to achieve the same level of operational capability, Now, as e-commerce continues to grow and digitalization […]

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Author: Ainsley Lawrence

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Jun 19 2024

3 Keys to Citizen Data Scientist Success

The citizen data scientist phenomenon is in full swing and — while the approach has its detractors — the proof is in success, and many organizations are actively succeeding using the citizen data scientist approach. Gartner has predicted that “by 2025, 95% of decisions that currently use data will be at least partially automated.” There are […]

Data Mart vs. Data Lake: Understanding the Difference

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. While both serve as repositories for storing and accessing data, they differ significantly in their structure, purpose, and approach to data management. Understanding the distinctions […]

Harnessing the Potential of IoT Data

“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional methods. However, despite the complexity of big data, it has become a major part of our digital-centric society. The amount of big data generated by the internet and internet users has exploded over the last […]

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Author: Ainsley Lawrence

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May 1 2024

Data Speaks for Itself: Is Metadata Data?

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title? The reason I ask it is because we seem to think about and manage metadata as somehow different than “normal data” such as business operations […]

Master Data Match Rules

As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one. Introduction […]

Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal

The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for […]

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Author: Ainsley Lawrence

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Apr 3 2024

The Importance of Data Due Diligence

Acquiring an existing business can be an exceptional way to make your entrepreneurial dreams come to life — or even diversify your investment portfolio. But, unless you do your research well, you’re opening yourself up to a lot of unnecessary risk. The process of due diligence involves the appraisal and assessment of a potential investment, […]

Creative Ways to Surf Your Data Using Virtual and Augmented Reality

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]

Data Cleansing Tools for Big Data: Challenges and Solutions

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality. However, the scale and complexity of big data present unique challenges for data cleansing […]

Data-Centric: How Big Things Get Done (in IT)

I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then. But recently, I read another review of it, and another coin dropped. I’ll let you know what the coin was toward the end of this article, but first I need to give you my own […]

5 Best Practices for Data Management in the Cloud

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals. They focus on data security, compliance, and scalability while leveraging cloud technologies to enhance data accessibility, analysis, […]

Explainable AI: 5 Open-Source Tools You Should Know

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them. Explainable AI tools are software and systems that provide transparency […]

The Evolution of Data Validation in the Big Data Era

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation. Origins of Data Validation Traditionally, data validation primarily focused on structured data sets. […]

The Currency of Information: Managing Data as an Asset (Part Three)

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean? What is the actual business value of data and information? How can this value be measured? How do we manage data and information as assets? These are some of the questions that I intend to […]

Data Protection: Trends and Predictions for 2024

Data protection, as the term implies, refers to the safeguarding of personal data from unauthorized access, disclosure, alteration, or destruction. Data protection revolves around the principles of integrity, availability, and confidentiality. Integrity ensures that data remains accurate and consistent during its lifecycle. Availability guarantees that data is accessible and usable when needed, while confidentiality ensures […]

The Art of Lean Governance: Walking the Data Factory

The concept of “walking the data factory” drew a great deal of interest during our recent DGPO webinar on data classification as part of a holistic governance program. We discussed ways to connect the stove-piped worlds of data governance and information governance under a common governance classification. There is great power in lean governance when […]

A Step Ahead: Categories – Boon or Bane?

Do you love or hate organizing papers and objects in your home? For those that hate it, why do you hate it? I like the results of organizing: reduction of clutter and ease of finding things. But I hate the process of organizing. The reason usually has to do with the fact that the object […]

Use of Big Data in Investing

In a turn of events unanticipated by most analysts, young people — Gen Zers and Millennials, in particular — are outpacing older generations in 401(k) contributions. Furthermore, young people are investing earlier than ever, with 31% of Millennials having started investing before turning 21. But with growing investment opportunities for young generations and their unprecedented […]

Data is Risky Business: A Wicked Problem This Way Comes

A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI. This happened due to ‘human error’ […]

The Data-Centric Revolution: “RDF is Too Hard”

We hear this a lot. We hear it from very smart people. Just the other day we heard someone say they had tried RDF twice at previous companies and it failed both times. (RDF stands for Resource Description Framework,[1] which is an open standard underlying many graph databases). It’s hard to convince someone like that […]

Data Driven Customer Retention Strategies

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates. Each customer, or customer segment, is unique, and it is necessary to understand the behaviors and needs of each segment to truly connect with them on a personal level that keeps them coming back for […]

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Author: Ainsley Lawrence

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Combining IoT and Blockchain Technology to Enhance Security

Data Crime: Your Phone Isn’t Here

The Data-Centric Revolution: Dealing with Data Complexity

Data Security in the Age of Cloud Computing

3 Keys to Citizen Data Scientist Success

Data Mart vs. Data Lake: Understanding the Difference

Harnessing the Potential of IoT Data

Data Speaks for Itself: Is Metadata Data?

Master Data Match Rules

Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal

The Importance of Data Due Diligence

Creative Ways to Surf Your Data Using Virtual and Augmented Reality

Data Cleansing Tools for Big Data: Challenges and Solutions

Data-Centric: How Big Things Get Done (in IT)

5 Best Practices for Data Management in the Cloud

Explainable AI: 5 Open-Source Tools You Should Know

The Evolution of Data Validation in the Big Data Era

The Currency of Information: Managing Data as an Asset (Part Three)

Data Protection: Trends and Predictions for 2024

The Art of Lean Governance: Walking the Data Factory

A Step Ahead: Categories – Boon or Bane?

Use of Big Data in Investing

Data is Risky Business: A Wicked Problem This Way Comes

The Data-Centric Revolution: “RDF is Too Hard”

Data Driven Customer Retention Strategies

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Category Archives: Big Data News, Articles, & Education