You are planning to complement your traditional data warehouse architecture with big data technologies. Now what? Should you upskill your existing data warehouse team? Or do Big Data technologies require a completely different set of skills? What do we mean by big data technologies anyway? For the purpose of this article, I define big data as any distributed technology that is … [Read more...] about Successfully Transitioning your Team from Data Warehousing to Big Data
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 Changing Banking, Finance, and Credit
Like most other businesses, banking and financial services organizations are fighting to adapt in this new, disruptive, digital world ” and like most other businesses, big data analytics is at the top of the list of solutions to reign in. While those with the proper expertise and knowledge are finding great opportunity via big data analysis, unfortunately, not everybody is … [Read more...] about How Big Data Is Changing Banking, Finance, and Credit
Improving Your Company’s Efficiency with Internal Data
Business owners and managers are always on the hunt to help both their employees and company become more efficient. It makes sense. Getting more work done for less money means you can do things like pay employees more, hire new workers, get better perks, and have less stress. So, what do people do? They look to external sources for advice and guidance. They hunt online and in … [Read more...] about Improving Your Company’s Efficiency with Internal Data
The Biggest Challenges for Big Data Analytics in the Age of Artificial Intelligence
It's been a huge decade for big data and artificial intelligence (AI), two of the biggest tech trends we've seen this century. From data-driven manufacturing to self-driving cars, we've witnessed dozens of jaw-dropping, previously unimaginable feats, all thanks to advances in big data analytics and AI. Not so long ago, businesses across industries often sat on tons of useful, … [Read more...] about The Biggest Challenges for Big Data Analytics in the Age of Artificial Intelligence
Where Moore’s Law Is Headed with Big Data
When measuring and testing computer applications, scientists and engineers collect huge amounts of data every second of the day. For instance, the world's largest particle holder collider known as Large Hadron Collider generates approximately 40 terabytes of data per second. The jet engine of a Boeing creates approximately ten terabytes of data every thirty minutes. When a … [Read more...] about Where Moore’s Law Is Headed with Big Data
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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.
