For a few years now, big data has been one of the hottest types of business technology around. The high-visibility big data successes like Amazon, Facebook, and Netflix have sent everyone from Fortune 1000 businesses to SMEs of every kind scrambling to climb aboard the big data train. In the process, they've created a labor market that's short on experts, and that has seen some … [Read more...] about The 4 Big Data Positions to Fill to Create a Successful Analytics Team
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.
Top AutoTech startups, trends & facts
Autotech is a disruptive technology that has changed the automotive sector. For over two decades, major progress has been made in fuel economy, ride quality and safety. And it is expected that within a couple of years, a standard passenger car will be able to drive with a great level of autonomy. Nowadays, the automotive industry isn't just about new vehicles anymore. More and … [Read more...] about Top AutoTech startups, trends & facts
Data Cleaning and Preprocessing for Beginners
When our team's project scored first in the text subtask of this year's CALL Shared Task challenge, one of the key components of our success was careful preparation and cleaning of data. Data cleaning and preparation is the most critical first step in any AI project. As evidence shows, most data scientists spend most of their time Š ” Šup to 70% Š ” Šon cleaning data. In this … [Read more...] about Data Cleaning and Preprocessing for Beginners
Guerrilla Analytics how to deliver analytics in the cut & thrust of business
Despite the plethora of good books on topics like Data Visualisation, very few cover how to deliver Guerrilla Analytics. By that, I mean beyond the theoretical ideals of Data Science textbooks. Beyond just the coding challenges of how to use R or Python to encode a question. Books that engage with real-world challenges for analysts. So, I am delighted to share one that I have … [Read more...] about Guerrilla Analytics how to deliver analytics in the cut & thrust of business
How to Build a Big Data Solution on Azure
Azure has made a point of prioritizing AI and analytics services, making it an appealing option for many looking to combine big data analysis and the benefits of cloud computing. With Azure, you can easily process massive amounts of data, both structured and unstructured, with real-time analytics and faster performance than you are likely to get with on-premise … [Read more...] about How to Build a Big Data Solution on Azure
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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.
