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329 articles · page 4 of 7

insideBIGDATA, Thursday, April 11th, 2024

The Power Of Data Visualization: Techniques And Best Practices

Vol 313 · Issue 2 · 2024-04-11

Talking about large datasets with a variety of different variables interacting with each other can quickly get confusing for an audience. Communicating the value of the data or the specific trends associated with variable interaction can easily be lost in the jumble of numbers in a spreadsheet. This is where data visualization comes in.

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The Power Of Data Visualization: Techniques And Best Practices

OpenSourceForU.com, Tuesday, April 2nd, 2024

Why Managing Data Is Important

Vol 313 · Issue 1 · 2024-04-02

In today's data-driven world, effective data management has become a critical priority for both organisations and individuals alike. Data, often likened to the lifeblood of modern operations, holds immense potential and value, making it essential to understand the 'why', 'what', and 'how' of data management.

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Why Managing Data Is Important

insideBIGDATA, Tuesday, March 26th, 2024

MongoDB Big Data Industry Predictions for 2024

Vol 312 · Issue 4 · 2024-03-26

Our friends over at MongoDB have prepared a special set of compelling technology predictions for the year ahead. MongoDB team's predictions for the upcoming year cover topics including AI, diversity in tech, security, cloud, and more.

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MongoDB Big Data Industry Predictions for 2024

search data management, Thursday, March 21st, 2024

What Is Big Data?

Vol 312 · Issue 3 · 2024-03-21

Big data is a combination of structured, semi-structured and unstructured data that organizations collect, analyze and mine for information and insights. It's used in machine learning projects, predictive modeling and other advanced analytics applications.

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What Is Big Data?

DATAVERSITY, Wednesday, March 13th, 2024

What Is A Data Dictionary?

Vol 312 · Issue 2 · 2024-03-13

A data dictionary describes data in business terms, including information about the data. It includes elements like data types, structure details, and security restrictions.

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What Is A Data Dictionary?

Datamation, Wednesday, March 6th, 2024

What Is Data Observability? An Essential Guide

Vol 312 · Issue 1 · 2024-03-06

Data observability provides comprehensive visibility into the health of an organization's data and systems, letting you promptly identify discrepancies, pinpoint root causes of related issues, and swiftly enforce corrective measures.

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What Is Data Observability? An Essential Guide

Analytics Insight, Wednesday, March 6th, 2024

Accounting With Big Data, Data Analytics And AI

Vol 312 · Issue 1 · 2024-03-06

Accounting, once a manual and time-consuming process, has been revolutionized by the integration of big data, data analytics, and AI. These technologies have transformed the way accountants work, enabling them to make data-driven decisions, automate repetitive tasks, and enhance their overall efficiency.

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Accounting With Big Data, Data Analytics And AI

datanami, Tuesday, February 27th, 2024

Does Big Data Still Need Stacks?

Vol 311 · Issue 4 · 2024-02-27

The IT industry loves its stacks. First there was the LAMP stack, then the Hadoop stack became popular. Over the past five years, something called the Modern Data Stack has taken hold in our collective data psyche, and now there are rumblings of something called the Compsable Data Stack. But is the stack concept still useful for big data and analytics?

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Does Big Data Still Need Stacks?

Data, Tuesday, February 6th, 2024

What Is Data Classification? Your Ultimate Guide

Vol 311 · Issue 1 · 2024-02-06

Data classification is a component of the data management process in which data is categorized based on various characteristics to reinforce data security, aid regulatory compliance, and enable efficient data management. Data classification helps companies comply with regulations, cut costs, manage risks, and maintain data integrity.

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What Is Data Classification? Your Ultimate Guide

datanami, Monday, February 5th, 2024

Data Quality Top Obstacle To Genai, Informatica Survey Says

Vol 311 · Issue 1 · 2024-02-05

A new survey of data leaders by Informatica points to data quality as the number one obstacle to implementing generative AI. The number of data management tools that companies are using, as well as the fact that a large fraction of companies are juggling more than 1,000 separate data sources, also are weighing on GenAI initiatives.

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Data Quality Top Obstacle To Genai, Informatica Survey Says

Datamation, Friday, February 2nd, 2024

6 Top-Rated Data Classification Software Tools For 2024

Vol 310 · Issue 5 · 2024-02-02

The best data classification software for enterprise use offers a wide range of features to help you categorize and organize data based on sensitivity, importance, or regulatory requirements to maintain data security, comply with industry regulations, and efficiently handle data throughout its lifecycle.

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6 Top-Rated Data Classification Software Tools For 2024

insideBIGDATA, Wednesday, January 31st, 2024

The Critical Role Of Data In Solving Society's Biggest Problems

Vol 310 · Issue 5 · 2024-01-31

While it's easy to make the case for investing in efforts aimed at addressing some of society's most pressing issues - from poverty and homelessness to global warming - measuring the positive social impact of those investments has proven to be a complex problem for both the grant-making organizations and the non-profits in which those investments are being channeled.

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The Critical Role Of Data In Solving Society's Biggest Problems

Datamation, Thursday, January 25th, 2024

What Is Big Data Analytics: 5 Key Benefits Explored

Vol 310 · Issue 4 · 2024-01-25

Big data analytics is the process of analyzing and interpreting big and complicated datasets to discover important insights, patterns, correlations, and trends. Advanced technology, algorithms, and statistical models are used to analyze vast amounts of both structured and unstructured data. The fundamental goal is to extract useful information from data, allowing organizations to make better decisions, optimize operations, and gain a competitive edge.

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What Is Big Data Analytics: 5 Key Benefits Explored

Datamation, Wednesday, January 24th, 2024

10 Best Data Integration Tools Of 2024: Bridging Data Silos

Vol 310 · Issue 4 · 2024-01-24

Data integration-the process of combining data from different sources into a single, unified view-is essential for enterprise work in our data-driven economy. Data integration tools parse through heterogeneous data and extract what's relevant, transforming vast amounts of structured and unstructured data into actionable information. Finding the right one for your business is critical.

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10 Best Data Integration Tools Of 2024: Bridging Data Silos

Datamation, Friday, January 19th, 2024

Why Is Data Management Important? 8 Key Benefits

Vol 310 · Issue 3 · 2024-01-19

Data management-the process of organizing, storing, securing, and analyzing data throughout its lifecycle-is essential to make sure the information your business uses to make decisions is accurate and reliable. It can also keep you in compliance with regulations and laws that protect consumers and privacy.

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Why Is Data Management Important? 8 Key Benefits

Analytics Insight, Thursday, January 18th, 2024

Big Data Market Expected To Reach US$638 Billion By 2028

Vol 310 · Issue 3 · 2024-01-18

The Big Data market has become the linchpin of the digital transformation era, with businesses leveraging the power of data to drive informed decision-making. As of 2022, the market was valued at an impressive US$271.83 billion, reflecting the growing significance of harnessing large volumes of data for actionable insights.

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Big Data Market Expected To Reach US$638 Billion By 2028

insideBIGDATA, Wednesday, January 3th, 2024

Big Data Industry Predictions For 2024

Vol 310 · Issue 1 · 2024-01-03

The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.

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Big Data Industry Predictions For 2024

Dataversity, Friday, December 15,2023

Data Management Predictions For 2024: Five Emerging Trends

Vol 309 · Issue 2 · 2023-12-15

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies. One thing is clear; if data-centric organizations want to succeed in 2024, they will need to prepare for an environment in which data is increasingly distributed.

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Data Management Predictions For 2024: Five Emerging Trends

datanami, Wednesday, December 13,2023

Fourteen Big Data Predictions For 2024

Vol 309 · Issue 2 · 2023-12-13

Never before have the challenges of big data-how we store it, manage it, govern it, and use it-been so pressing. Advances in artificial intelligence may be the driving force in 2024, but that doesn't mean a thing if your big data is out of control.

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Fourteen Big Data Predictions For 2024

Dataversity, Wednesday, December 6,2023

The Challenge Of Data Accuracy

Vol 309 · Issue 1 · 2023-12-06

Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes is now perceived as a distinct 'asset class' rather than merely a byproduct of its IT operations.

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The Challenge Of Data Accuracy

Dataversity, Tuesday, November 28,2023

What Is A Data Strategy? Components And Uses

Vol 308 · Issue 5 · 2023-11-28

A Data Strategy is a reliable touchstone created by an organization for businesspeople to apply when confronting challenges in executing data activities to meet or support a business strategy. It offers direction when generating, updating, storing, and consuming data to better perform these tasks.

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What Is A Data Strategy? Components And Uses