By James Ovel, Operations VP at Zayo For a VP of Operations, commissioning, installing, and deploying a new subsea cable brings excitement and optimism, but equally offers significant challenges. With a background and passion for project management, my team and I pride ourselves on detailed planning with thoughtful analysis of a broad range of risks. We are the kind of people … [Read more...] about Building the Internet under the Sea: Zeus, an Operations VP’s Inside Story
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
How Big Data is Evolving to Create a New Standard in Road Safety
Big data has the potential to change the world around us for the better. Due to the high quality of actionable insights that can be conveyed through the implementation of artificial intelligence solutions to scour big data for key trends, road safety can be one of the biggest areas that stand to benefit from big data. When it comes to enhancing motoring safety, big data can … [Read more...] about How Big Data is Evolving to Create a New Standard in Road Safety
How to Select the Right Microsoft 365 Backup Solution
Choosing the Right Solution for Microsoft 365 Backup: Key Points to Assess and AnalyzeWith over 345 million users in 2022, Microsoft 365 suite is a market-dominant team collaboration solution. Individuals and organizations prefer Microsoft services for the all-in-one functional suite, speed and comfort of data exchange, and advanced capabilities. However, the security of … [Read more...] about How to Select the Right Microsoft 365 Backup Solution
Data Freshness Explained: Making Data Consumers Wildly Happy
What is data freshness and why is it important? Data freshness, sometimes referred to as data timeliness, is the frequency in which data is updated for consumption. It is an important data quality dimension and a pillar of data observability because recently refreshed data is more accurate, and thus more valuable. Since it is impractical and expensive to have all data refreshed … [Read more...] about Data Freshness Explained: Making Data Consumers Wildly Happy
Open Data: Unleashing Opportunities and Challenges
The below is a summary of my article on Open Data as published on TheDigitalSpeaker.com Open data, a concept rapidly gaining importance in our increasingly data-driven world, refers to freely accessible and usable data by anyone without restrictions, be it copyrights, patents, or other control mechanisms. This data can come from a variety of sources, including governments, … [Read more...] about Open Data: Unleashing Opportunities and Challenges
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What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
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What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
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Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
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What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
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How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.
