What is Big Data?

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Big data is a term that refers to the large volume of structured and unstructured data that businesses take in on a day-to-day basis. This data can be analyzed for insights that lead to better decisions and more strategic business moves. Big data can be described by the following characteristics:

  • Volume – Organizations collect data from multiple sources, such as business transactions, industrial equipment, social media, and smart devices.
  • Velocity – Because data streams into businesses at such a high speed, it must be handled in a timely manner. Sensors, smart meters, and RFID tags drive the need to deal with torrents of data quickly.
  • Variety – Data comes in many formats, such as numeric data in traditional databases to unstructured documents, videos, emails, stock ticker data, and audio files.

Big data, like any other type of data, needs to be analyzed in order to be valuable. Big data analytics is the use of analytic techniques against these diverse data sets. The need for professionals who can manage this data for large companies is constantly growing. Big data analysts, scientists, and researchers enable businesses to make more informed decisions, model and predict outcomes, and enhance overall business intelligence.

Who needs to learn it?

Big data analytics classes are for:

  • Beginners
  • Data scientists
  • Data analysts
  • Data visualization specialists
  • Researchers
  • Machine learning engineers
  • Statisticians
  • AI developers

What you can create:

Big data scientists are necessary across industries. Some examples of things you can create with big data analytics skills include:

  • Data warehouses
  • Data lakes
  • NoSQL databases
  • Analytical databases
  • Artificial intelligence
  • Predictive analytics
  • Data storage solutions
  • Data visualizations

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Earning potential and career options

Big data exists within virtually every industry. Therefore, the need for professionals who can analyze and make use of it is great. Some examples of associated careers and their average salaries include:

Software architect – $138,167

Data scientist – $122,787

Data warehouse engineer – $108,021

Software engineer – $107,502

Application developer – $98,603

Data analyst – $75,694

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    Our Big Data Courses

    Streaming Data

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    Building Data Streaming Applications with Apache Kafka

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    Apache Spark

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    Big Data

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    Storm Applied

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    Apache Hive Essentials

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    Apache Hadoop 3

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    Hadoop in Practice

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    Solr

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    Machine Learning with Spark 2.x

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    Redis

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    Taming Text

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    Visualizing Graph Data

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    Exploratory Data Analysis with R

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    Data Analysis with Scala

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    Practical Data Wrangling

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    Tika

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    AI as a Service

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    Hadoop, Hive and Spark

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    Hadoop 3 with Hive 3

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    Introduction to Apache Spark

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    About our dedicated educators

    Companies across the world are in need of professionals who can analyze valuable data and help grow businesses. At Skill Developers, our team of big data analysis experts deliver comprehensive educational courses via virtual labs. Contact us today to begin a course in big data analytics and start increasing your career options.

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