In a MySQL 5.7 master-slave setup that uses the default semisynchronous replication setting for rpl_semi_sync_master_wait_point, a crash of the master and failover to the slave is considered to be lossless. However, when the crashed master comes back, you may find that it has transactions that are not present in the current master (which was previously a slave). This behavior … [Read more...] about Re-Slaving a Crashed MySQL Master Server in Semisynchronous Replication Setup
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.
Open-Source Datasets: Considerations For Machine Learning
A World Economic Forum study estimates that by 2020, the digital world will increase to 44 zettabytes of data. That number is continually increasing as more people and devices are connected to the Internet. While some of this data is proprietary, much of it is freely available to users themselves or the broader public. Open-source data has the potential to drastically influence … [Read more...] about Open-Source Datasets: Considerations For Machine Learning
Big Data is Transforming the Financial Industry at its Core
Earlier this year, Investopedia published a very insightful article on the intersection of big data and the financial industry. Big data is changing every facet of the financial industry, from insurance actuary processes to the management of the stock market. The Progression of Big Data Technology in the Financial Industry The 21st has been the age of information technology. … [Read more...] about Big Data is Transforming the Financial Industry at its Core
From Diversity in the Workplace to Health Monitoring: 5 Surprising Ways Big Data Permeates Our Lives
Computer science professionals make a huge difference in the lives of everyday people “ and most don't even realize that big data is what's making things better. Technology is evolving so fast that it's nearly impossible to keep up with all the fantastic innovations created by medical researchers. What's more, data is everywhere. As an example, consumers can now effortlessly … [Read more...] about From Diversity in the Workplace to Health Monitoring: 5 Surprising Ways Big Data Permeates Our Lives
The Top Seven Technology Trends for 2020
We have reached the end of 2019 and just like in previous years, I am looking ahead to see what organisations can expect next year. 2019 was the year of truth, with many enterprises developing blockchain proof of concepts, Google confirming a quantum supremacy breakthrough and more data breaches with the latest breach containing 1.2 billion records. Now for the 8th year in a … [Read more...] about The Top Seven Technology Trends for 2020
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.
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.
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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.
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.
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.
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.