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Big data

Big Data

Big data means a large amount of data which comes from various data sources which has different format. Big data is more collection of different data sets. It is an important assets which can be used to obtain enumerable benefits.

Three formats of Big data:

There are three formats of Big data. They are:

  1. Structured:  fully organised data format with a fixed schema.
  2. Semi-structured: partly organised data which does not have a fixed format.
  3. Unstructured data: unorganised data without known format.

Characteristics of Big data:

1. Validity: It corrects data

2. Variability: It has dynamic behaviour

3. Volatility: Tendency to change in time

4. Vulnerability: it is vulnerable to breach the attacks.

5. Visualisation: it is about using the data.

Big data analytics is largely used by companies to improve the growth and development. There are multiple tools for big data processing such as Hadoop, Pig, hive, Cassandra, HCatalog etc. Data is mostly produced by people in organisations. The data usually has a specified structure. It is nothing but basis of records on money paid, deliveries made and employees hired etc. Here the data processing must manage lots of data, speed of data arriving, many different sources of data arriving in different formats. The more data you have, more is the chance of getting insights from it. The size of big data makes it impossible to use the manual and conventional computing methods. Big data analytics is based on data mining to shift through data with different patterns and different relationships, machine learning can handle to change new data, to adapt and enrich models, text analytics and natural language processing to analyze free form text speech.

Big data analytics tools:

The Big data analytics tools can be grouped as:

Descriptive analytics for finding what happened,

Diagnostic analytics for explaining,

Predictive analytics to suggest what will likely to happen and

Prescriptive analytics to tell users what to do.

An example of big data analytics:

Consider a company runs big data on its past sales data. It sees a demand has been rising in certain regions for one of its product lines. From social data and CRM company also find that customers are buying products by marketing data and analytics the sales potential prediction in each region where the customer might replace current productivity.

Big data benefits:

Big data has various benefits like:

  • It can utilise outside intelligence while taking important decisions.
  • Access to social data from various search engines is making organisations to fine tune their business strategies.
  • Improved customer service
  • Traditional customer feedback systems are getting replaced by new systems which are designed with big data technology.
  • Big data and available all natural language processing technologies are being used to read and evaluate consumer responses.
  • They have ability to identify early risk of the product.
  • And also can identify better operational efficiency.

For example, big data is used in many companies which provides valuable insights to their customers that can be used to improve marketing campaigns and techniques in order to increase customer engagements and conversion rates. Furthermore, Big data can be used by medical researchers to identify disease risk factors and by doctors to diagnose the illness and conditions in individual patients. In the energy industry, big data is used which helps oil and gas companies to identify potential drilling and observe the pipeline operations. Financial services companies use Big data systems for risk management and for real time analysis of market data. Manufacturers and also transportation companies rely on big data to manage their supply chain.

Volume is the major characteristics of big data. A big data environment doesn’t necessarily have to contain large amount of data contain but most will have because of the nature of the data being collected and stored. Big data applications usually include multiple data sources which may not be integrated.

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12 Comments

  1. Big data means a large amount of data which comes from various data sources which has different format. Big data is more collection of different data sets.

    The Big data analytics tools can be grouped as:

    Descriptive analytics for finding what happened,

    Diagnostic analytics for explaining,

    Predictive analytics to suggest what will likely to happen and

    Prescriptive analytics to tell users what to do.

    big data is used in many companies which provides valuable insights to their customers that can be used to improve marketing campaigns and techniques in order to increase customer engagements and conversion rates

    Basically big data is useful for any kind of company who want to use the structured/unstructured data to understand their current business growth/problem areas and accordingly work on the further growth/improve on problem areas.

  2. Big data has various benefits like :
    It can utilise outside intelligence while taking important decisions.
    Access to social data from various search engines is making organisations to fine tune their business strategies.
    Improved customer service
    Traditional customer feedback systems are getting replaced by new systems which are designed with big data technology.
    Big data and available all natural language processing technologies are being used to read and evaluate consumer responses.
    They have ability to identify early risk of the product.
    And also can identify better operational efficiency.
    For example:
    Big data can be used by medical researchers to identify disease risk factors and by doctors to diagnose the illness and conditions in individual patients.

  3. 1.Big data means a large amount of data which comes from various data sources which has different format. Big data is more collection of different data sets.
    2.There are three formats of Big data. They are:

    Structured: fully organised data format with a fixed schema.
    Semi-structured: partly organised data which does not have a fixed format.
    Unstructured data: unorganised data without known format.
    3.Big data has various benefits like:

    It can utilise outside intelligence while taking important decisions.
    Access to social data from various search engines is making organisations to fine tune their business strategies.
    Improved customer service
    They have ability to identify early risk of the product.
    And also can identify better operational efficiency.

  4. The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods– both structured and unstructured.The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making.Big Data Management solutions provide companies the ability to add a variety of data from hundreds of different sources in real time. This means that you can increase the client’s commitment since you can have more effective interactions with them and better marketing proposals, which ultimately lead the company to achieve a longer and more profitable .

  5. Big data means a large amount of data which comes from various data sources with different formats. Big data is a collection of different data sets. The characteristics of big data are validity, variability, volatility, vulnerability, and visualization. There are three formats of Big data. They are structured, semi-structured, and unstructured. Big data has various benefits like it can use outside intelligence while taking important decisions, access to social data from various search engines, improved customer service, traditional customer feedback systems are getting replaced by new systems, big data available in all natural language processing technologies, they have the ability to identify early risk of the product, and they also identify better operational efficiency. Big data applications usually include multiple data sources which may not be integrated.

  6. The testing of Big Data systems demands the testers to verify large volumes of data from various sources by using a clustering method. The data needs to be processed systematically, real-time or in batches.

  7. BIG DATA

    – Big data means a large amount of data which comes from various data sources which has different format. Big data is more collection of different data sets mostly produced by people in the organizations.
    There are multiple tools for big data processing such as Hadoop, Pig, hive, Cassandra, HCatalog etc.
    The Big data analytics tools can be grouped as:
    – Descriptive analytics for finding what happened,
    – Diagnostic analytics for explaining,
    – Predictive analytics to suggest what will likely to happen and
    – Prescriptive analytics to tell users what to do.

  8. Big data means a large amount of data which comes from various data sources which has different format and is more collection of different data sets.
    The three formats of Big data are: 1)Structured, 2)Semi-structured, and 3)Unstructured data.
    Big data is largely used by companies to improve the growth and development.
    It can utilize outside intelligence while taking important decisions. It has improved customer service. They have ability to identify early risk of the product and also can identify better operational efficiency.
    Big data can be used by medical researchers, energy industry, financial services, manufacturers and transportation companies.
    Big data applications usually include multiple data sources which may not be integrated.

  9. Big data means a large amount of data which comes from various data sources which has different format. Big data is more collection of different data sets. It is an important assets which can be used to obtain enumerable benefits. There are three formats of Big data. They are:
    1.Structured: fully organized data format with a fixed schema.
    2.Semi-structured: partly organized data which does not have a fixed format.
    3.Unstructured data: unorganized data without known format.
    For example, big data is used in many companies which provides valuable insights to their customers that can be used to improve marketing campaigns and techniques in order to increase customer engagements and conversion rates. Furthermore, Big data can be used by medical researchers to identify disease risk factors and by doctors to diagnose the illness and conditions in individual patients. In the energy industry, big data is used which helps oil and gas companies to identify potential drilling and observe the pipeline operations. Financial services companies use Big data systems for risk management and for real time analysis of market data. Manufacturers and also transportation companies rely on big data to manage their supply chain.

    Volume is the major characteristics of big data. A big data environment doesn’t necessarily have to contain large amount of data contain but most will have because of the nature of the data being collected and stored. Big data applications usually include multiple data sources which may not be integrated.

  10. BIG DATA:
    Big data means a large amount of data which comes from various data sources with different format. Big data analytic is largely used by companies to improve the growth and development. Basically there are 3 formats of big data which are Structured- fully organized data with fixed schema, Semi-Structured – partly organized data which does not have a fixed format, and Unstructured data – unorganized data without known format.

    Characteristics (5V) of Big Data:
    1. Validity: It corrects data.
    2. Variability: It has dynamic behavior.
    3. Volatility: Tendency to change in time.
    4. Vulnerability: it is vulnerable to breach the attacks.
    5. Visualization: It is about using the data.

    Big data analytic tools:
    1. Descriptive analytic for finding what happened.
    2. Diagnostic analytic for explaining
    3. Predictive analytic to suggest what will likely to happen, and,
    4. Prescriptive analytic to tell users what to do.

    Benefits of Big Data:

    1. It can utilize outside intelligence while taking important decisions.
    2. Access to social data from various search engines is making organizations to fine tune their business strategies.
    3. Improved customer service.
    4. Traditional customer feedback systems are getting replaced by new systems which are designed with big data technology.
    5. Big data and available all natural language processing technologies are being used to read and evaluate consumer
    responses.
    6. They have ability to identify early risk of the product.
    7. And also can identify better operational efficiency.

  11. BIG DATA
    Big data means a large amount of data that comes from various data sources which have a different format. Big data is the collection of different data sets. Big data is largely used by companies to improve growth and development.
    Three formats ;
    Structured: fully organized data format with a fixed schema.
    Semi-structured: partly organized data which does not have a fixed format.
    Unstructured data: unorganized data without known format.Characteristics of Big data.
    Characteristics:
    1. Validity: It corrects data
    2. Variability: It has dynamic behavior
    3. Volatility: Tendency to change in time
    4. Vulnerability: it is vulnerable to breach the attacks.
    5. Visualisation: it is about using the data.
    There are multiple tools for big data processing such as Hadoop, Pig, Hive, Cassandra, HCatalog, etc.
    Benefits:
    to identify the early risk of the product. Improved customer service, It also can identify better operational efficiency.

  12. Big data refers to a data set whose massive size makes it complex to analyse and work with. Big data describes the large volume of data – both structured and unstructured it can be analyzed for insights that lead to better decisions and strategic business moves.

    There are three formats of Big data.
    1.Structured: fully organized data with fixed format
    2.Semi-structured: partly organized data with no fixed format.
    3.Unstructured data: unorganized data without known format.
    Volume is the major characteristics of big data. Some more characteristics of Big data are: Validity, Variability, Vulnerability, Volatility and Visualization.
    The Big data analytics tools can be grouped as following:
    1.Descriptive analytics – for finding what happened,
    2.Diagnostic analytics – for explaining,
    3.Predictive analytics – to suggest future impact
    4.Prescriptive analytics – to tell users what to do

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