Every WhatsApp message , Google search or credit card purchase generates a huge source of data. This computerized data is collected and analyzed, even in real time, by large companies to achieve competitive advantages in the market. This is the function of "Big Data" .
Big Data finds repetitive patterns within these large data sets, which are really difficult to work with due to the speed at which they are generated and the variety of formats and sources. Therefore, the objective of this discipline is to transform the data into information that opens up a business opportunity .
What is Big Data and what types of data does it work with?
There are many tools for dealing with Big Data. Some of them are Business Intelligence , Cassandra , Hadoop , Machine Learning , MapReduce and NoSQL . They all work with three types of content:
Structured data: data that appears "ordered" and that companies usually collect in their traditional databases: customer names, date of birth, email, etc.
Unstructured data: Data that is not organized in any way, but contains valuable information. For example, data obtained from likes or retweets provides information about people's tastes and interests.
Semi-structured data: contains markers to separate different elements, which makes it easier to process them, even if they do not appear in relational databases. An example of this is HTML documents.
What is the importance of Big Data?
Big Data has become an essential tool for business decision-making. In an increasingly competitive and dynamic business environment, the ability to analyze large volumes of data in real time allows companies to gain deeper and more accurate insight into their environment, customers, and operations. This makes it easier to identify opportunities, anticipate risks, and optimize business strategies.
Implementing Big Data solutions not only improves operational efficiency, but also enhances the ability to innovate and remain competitive in the global market. Read the article "The importance of Big Data" in this blog to understand the role of Big Data in decision-making, learn about tools and technologies for data analysis, and learn about success stories.
What are the advantages of Big Data?
Managing a significant amount of data provides companies with the following benefits:
Accessibility to internal information: digitizing data allows companies to gain agility and efficiency in production processes.
Customer loyalty: knowing the degree of consumer satisfaction with our products and/or services helps us to offer them what they need.
Optimization of marketing strategies: allows you to check whether actions have been successful and what errors need to be corrected.
Speed in decision-making: the information obtained from the network allows business strategies to be implemented with greater security and speed.
Cost reduction: the time required to launch a product or service is shortened by understanding the needs demanded by consumers.
Process automation: from data sets, it is possible to access the use of artificial intelligence and establish machine learning processes.
What are the guidelines for understanding Big Data for dummies?
Volume
Managing a torrent of unstructured data that holds immense potential kuwait travel agency whatsapp number is a challenge. These large volumes of data require the correct orientation of strategies to filter what is sought and save time.
Speed
Analyzing large volumes of data that do not change very often takes hours or even days. The information processing time in data analysis processes is a key value for the study to provide advantages that make a difference.
Variety
Big data works with a large amount of data in a variety of formats, from text, audio and video to web addresses. This diversity increases the complexity of both storage and analysis.
Veracity
The large amount of information makes it essential to implement a "cleaning" of the data to ensure the best use of it. Unpredictable data such as weather or economics must be eliminated in order to make the right decisions.
Worth
The most important part. Knowing what data needs to be collected, analyzed and converted is essential. If you don't get valuable information, the investment made in equipment and infrastructure to store data will be pointless.
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infographic on big data
Advantages of Big Data at work level
According to Harvard Business Review, Big Data experts are the most attractive profession of the 21st century and also one of the best paid. It is estimated that in Spain more than 100,000 jobs will be created in the short to medium term related to this subject. Due to their multidisciplinary training, professionals in this discipline can occupy different positions within the existing departments of a data warehouse.
Business Analyst or Developer 2.0: the intermediary between data experts and the end consumer. Responsible for processing information and extrapolating conclusions.
Chief Data Officer (CDO): responsible for the design, implementation and long-term optimization of the information strategy. He or she is the visible head in relations with the rest of the company's departments.
Data Scientist: Translates information into knowledge for business analysts. This position can be filled by experts in mathematics and statistics, and specialists in machine learning .
Data Engineer or Architect: A technology expert who designs and builds relational databases.
One of the professions of the future is waiting for you. If you like IT, join the Big Data community!