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Average number of books of 4 subjects Maths, English, Hindi and Science in library P is 77. In library Q, there are 5 more English books and 23 more Science books than that of in library P. If the average of the total number of books of 4 subjects in library P and that in library Q is 348 then the library Q has how many more books of Hindi and Math than library P?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
The Coordinator of an International Virtual Conference has planned six guest lectures on different areas-Cryptography, Fluid Dynamics, Big Data Analysis, Wavelet Theory, Differential Equations and Linear Algebra-to be organised only one on each day from Monday to Sunday.  Wavelet Theory should be organised immediately after Differential Equations.  Big Data Analysis should be organised on Wednesday and should not be followed by Linear Algebra.  Fluid Dynamics should be organised on Friday and there should be a gap of two days between Cryptography and Linear Algebra.  One day there will be no lecture (Saturday is not that day), and just before that day Linear Algebra will be organised. How many lectures are organised between Big Data Analysis and Wavelet Theory? 
Which Python library is commonly used for natural language processing (NLP) tasks in data analysis, including text mining and sentiment analysis?
Jane, Karim and Leo checked out books from the library. Jane has an even number of library books . Karim has 3 more library books than Jane . Leo has 2 more library books than Karim. Which statement is true about the number of library books Karim and Leo have ?
In Python, which library is commonly used for geospatial data analysis and mapping, especially in geographic information systems (GIS)?
Which Python library provides tools for working with structured data and is often used in data analysis tasks, especially in financial data?
Which of the following statements is most relevant in the context of Job Analysis? Choose the correct answer from the code given below. (i) Job Analysis helps in identifying the right person for the right job. (ii) A person cannot judge the job from the point of view of its suitability. (iii) Job analysis helps in job satisfaction and job efficiency. (iv) Through Job Analysis an employer cannot evaluate the prospective employee to judge his fitness or otherwise for the job. (v) Job Analysis helps in planning appropriate training programs. (vi) Job Analysis defines client needs in specific terms. (vii) Job Analysis assists in knowing the personnel specifications for various jobs.
Mr. Bakhtiar works in the procurement department of a library. Under a new purchase policy, he increased the total number of books in the library by 20%. But soon afterwards, as part of the library cleaning process, 10% of the total library book stock is disposed of. What is the net change over the initial number of books in the library ?
Which distributed computing framework is designed for low-latency, real-time data processing and is often used for building data pipelines and complex event processing (CEP)?