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Airflow is an open-source platform used to programmatically author, schedule, and monitor workflows.
Airflow allows users to define workflows as Directed Acyclic Graphs (DAGs)
It provides a web-based UI for visualization and monitoring of workflows
Airflow supports various integrations with different systems and tools
Tasks in Airflow can be Python functions, scripts, or external processes
A DAG in Airflow stands for Directed Acyclic Graph, representing a workflow of tasks with dependencies.
DAG is a collection of tasks with defined dependencies between them
Tasks are represented as nodes and dependencies as edges in the graph
Tasks can be scheduled to run at specific times or based on triggers
Example: DAG for ETL process - extract data, transform data, load data
A datapipeline is a system that processes and moves data from one location to another in a structured and efficient manner.
Datapipelines are designed to automate the flow of data between systems or applications.
They typically involve extracting data from various sources, transforming it into a usable format, and loading it into a destination for analysis or storage.
Examples of datapipelines include ETL (Extract, Transf...
Various types of inbuilt operators include arithmetic, assignment, comparison, logical, bitwise, and ternary operators.
Arithmetic operators perform basic mathematical operations (+, -, *, /, %)
Assignment operators assign values to variables (=, +=, -=, *=, /=)
Comparison operators compare two values and return a boolean result (==, !=, >, <, >=, <=)
Logical operators perform logical operations on boolean values (&&, ||, ...
File sensor operators are used to read data from files in a streaming data pipeline.
File sensor operators are used in data processing pipelines to read data from files and pass it along the pipeline.
They are commonly used in ETL (Extract, Transform, Load) processes to ingest data from files into a database or data warehouse.
File sensor operators can be used to monitor directories for new files and trigger data processi...
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I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
OOPS , DBMS , OS , and DSA concepts
posted on 29 Nov 2024
I applied via AmbitionBox
Java, spring,springboot
Coding for international
I applied via Campus Placement and was interviewed in Feb 2024. There were 3 interview rounds.
They have their own coding platform. The questions are basically from tree.
Tree of space question
Quantitative arithmetic,verbal reasoning,non-verbal reasoning,etc
posted on 31 Aug 2024
I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
Simple question on maths
OOPS (Object-Oriented Programming) is a programming paradigm based on the concept of objects, which can contain data and code.
OOPS focuses on creating objects that interact with each other to solve complex problems
Key principles include encapsulation, inheritance, polymorphism, and abstraction
Encapsulation ensures that the internal state of an object is hidden from the outside world
Inheritance allows a class to inherit...
I am a software developer with 5 years of experience in Java, Python, and SQL.
5 years of experience in Java, Python, and SQL
Strong problem-solving skills
Experience working in Agile development environment
posted on 11 Mar 2024
It is MCQ based test which contain both aptitude and technical question
I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.
based on 1 interview
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