On May 25, 2018, the EU General Data Protection Regulation (GDPR) was officially enforced. Approved by the EU Parliament on April 14, 2016, this regulation extends outside of Europe and requires compliance by any business, from solo entrepreneurs to Fortune 500 corporations, that operate in EU member states and serve EU members in any capacity, whether directly or as a third … [Read more...] about The Challenge and Impetus to Analyze and Utilize Human Data Insights
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.
What is SIEM and How Does it Relate to Big Data and Machine Learning?
Security Information and Event Management (SIEM) is a type of computer security software solution that combines real-time monitoring of IT infrastructure for security threats with the gathering and analysis of log data and event data collected from disparate components of the IT environment. The desired result of using SIEM is obtaining actionable information, such as … [Read more...] about What is SIEM and How Does it Relate to Big Data and Machine Learning?
3 Ways to Improve Your E-Commerce Customer Data Collection Methods
For e-commerce businesses, the age-old adage know thyself can easily be changed to know thy customers. Understanding your audience's needs, desires, preferences, and behavioral patterns is imperative to offering an intuitive UX that translates into conversions, and ultimately, loyalty. However, gathering quality data and understanding its implications is continually a top … [Read more...] about 3 Ways to Improve Your E-Commerce Customer Data Collection Methods
Blockchain: What Is It, How It Works, And What It Means For Big Data
In this new digital transformation era, blockchain comes hand-in-hand as one of the fastest growing technologies to help secure and protect data through cryptography. Learn more about blockchain and what it means for big data. What is Blockchain? Blockchain is a secure, shared, decentralized, distributed, immutable database that maintains a continuously growing list of records … [Read more...] about Blockchain: What Is It, How It Works, And What It Means For Big Data
Data Masking Pitfalls for SQL Data Generator Applications
Developing a production database requires extensive optimization. With the growing concerns about data privacy and new regulations such as the Global Data Protection Requirement (GDPR), these databases must be created with privacy safeguards in place. You need to use a few different data anonymization techniques to accomplish this with a standard SQL database. SQL data … [Read more...] about Data Masking Pitfalls for SQL Data Generator Applications
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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.
