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I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
Online Assessment with 2 code in DSA and MCQs on computer fundamentals ( DBMS+OS+ML+SQL+Computer Architecture)
I applied via Campus Placement
Big data refers to large volumes of structured and unstructured data that is too complex for traditional data processing applications.
Big data involves massive amounts of data that cannot be easily managed or analyzed using traditional methods
It includes structured data (like databases) and unstructured data (like social media posts)
Examples include analyzing customer behavior on e-commerce websites, processing sensor ...
Technologies related to big data include Hadoop, Spark, Kafka, and NoSQL databases.
Hadoop - Distributed storage and processing framework for big data
Spark - In-memory data processing engine for big data analytics
Kafka - Distributed streaming platform for handling real-time data feeds
NoSQL databases - Non-relational databases for storing and retrieving large volumes of data
Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.
Data warehousing involves extracting data from multiple sources
Data is transformed and loaded into a central repository
Allows for complex queries and analysis to be performed on the data
Examples include data warehouses like Amazon Redshift, Google BigQuery
Cloud in big data refers to using cloud computing services to store, manage, and analyze large volumes of data.
Cloud computing allows for scalable and flexible storage of big data
It provides on-demand access to computing resources for processing big data
Examples include AWS, Google Cloud, and Microsoft Azure
Python is a versatile programming language used for various purposes including web development, data analysis, artificial intelligence, and automation.
Python is used for web development with frameworks like Django and Flask.
It is commonly used for data analysis and visualization with libraries like Pandas and Matplotlib.
Python is popular in artificial intelligence and machine learning projects with libraries like Tenso...
Scala is a programming language that is used for building scalable and high-performance applications.
Scala is used for developing applications that require high performance and scalability.
It is often used in Big Data processing frameworks like Apache Spark.
Scala combines object-oriented and functional programming paradigms.
It is interoperable with Java, allowing developers to leverage existing Java libraries.
Scala is ...
SEO in writing refers to optimizing content to improve visibility on search engines.
SEO involves using relevant keywords in writing to improve search engine rankings
Creating high-quality content that is valuable to readers is key for SEO in writing
Optimizing meta tags, headings, and images can also improve SEO in writing
I am a passionate writer with a love for storytelling and a knack for creating engaging content.
Experienced in writing articles, blog posts, and creative fiction
Skilled in conducting research and interviewing subjects for in-depth pieces
Proficient in editing and proofreading to ensure high-quality work
Published works include a collection of short stories and a series of travel guides
I applied via Naukri.com and was interviewed in Feb 2023. There were 3 interview rounds.
Abzooba India Infotech interview questions for popular designations
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
1 DSA Question (Python, Java , C , C++ etc) , 1 SQL question
I applied via Campus Placement and was interviewed before Jun 2022. There were 3 interview rounds.
The coding questions were from basic DSA in Python and on top of that there were some SQL related questions as well.
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
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posted on 5 May 2017
I was interviewed in Aug 2016.
I am a business analyst with experience in data analysis and project management.
I have a degree in business administration
I have worked with various industries including healthcare and finance
I am skilled in data visualization and reporting
I have experience in leading cross-functional teams
I am proficient in SQL and Excel
My area of interest is data analysis and visualization.
I enjoy working with large datasets and finding insights through data analysis.
I have experience using tools such as Excel, Tableau, and Python for data analysis and visualization.
I am interested in exploring new data sources and learning new techniques for data analysis.
For example, I recently worked on a project analyzing customer behavior data for a retail compa...
Yes, I have experience in data analysis and visualization through Excel and Tableau.
I have worked on multiple projects where I had to analyze and visualize data using Excel and Tableau.
I have created dashboards and reports to present data insights to stakeholders.
I have also used statistical analysis to identify trends and patterns in data.
I am currently learning Python and SQL to further enhance my data analysis skill
I am interested in the stability and growth opportunities offered by an established company.
I value the stability and resources of an established company
I am interested in the opportunity to work with a diverse range of clients and industries
I believe my skills and experience are better suited to a larger organization
I am open to exploring start-up opportunities in the future
Yes, I am planning to pursue a Master's degree in Business Administration.
I have researched various MBA programs and have shortlisted a few that align with my career goals.
I plan to take the GMAT exam and apply to these programs in the next year.
I believe that a higher education degree will equip me with advanced skills and knowledge to excel in my role as a Business Analyst.
The size of racks of rice in a store can vary depending on the store's location, size, and target market.
The size of the store can determine the size of the racks
The target market can determine the quantity of rice sold and therefore the size of the racks
The location of the store can determine the size of the racks based on the available space
The type of rice sold can also determine the size of the racks
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