For high-tech companies, data has always been one of the most valuable assets. Today, we generate more information than ever before ” 2.5 quintillion bytes of data every single day. New developments in artificial intelligence and big data analysis mean that almost any industry can use data to drive policy and decision-making processes. Organizations ” both public and private ” … [Read more...] about The Importance of Big Data for Environmental Compliance
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 Data Analysts Expect after Tableau $15.7B Acquisition by Salesforce
There is lots of evidence showing the importance of data management and visualization for businesses growth and competitiveness in the modern data-driven world. In June 2019, such importance was shown very clearly even for those who are very far from data science by two multi-billion acquisitions of leaders in the business intelligence industry- Looker (bought by Google on June … [Read more...] about What Data Analysts Expect after Tableau $15.7B Acquisition by Salesforce
Democratizing Data Science Is Not As Risky As Many Fear
The role of Citizen Data Scientist has been showing rapid growth, though not without some controversy. Many people are concerned that democratizing data science is about giving people capabilities way beyond what they are ready to handle and, therefore, ensuring disasters as a result. While bad outcomes can certainly happen if things aren't planned and implemented well, it is … [Read more...] about Democratizing Data Science Is Not As Risky As Many Fear
The Acceleration of Big Data Developers Migrating from Hadoop to Kubernetes in 2020
Big data developers are expanding the range of technologies that they rely on to create new applications. Kubernetes is one of the new solutions that data programmers are incorporating into their projects. George Anadiotis of ZDNet discussed the growing number of data developers transitioning to Kubernetes. There are a number of advantages to using this docker orchestrator. One … [Read more...] about The Acceleration of Big Data Developers Migrating from Hadoop to Kubernetes in 2020
PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types
PostgreSQL popularity is skyrocketing in the enterprise space. As this open-source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. We recently attended the PostgresConf … [Read more...] about PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types
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.