Stream Processing Concepts Quiz

It allows students more time to prepare and complete the quiz effectively.

The programming exercise is centered on B+-trees.

Grading comprises recap quizzes, graded quizzes, programming exercises, and an exam.

<p>The exam is scheduled for February 10 and represents 100% of the final grade.</p> Signup and view all the answers

<p>Students should avoid sharing solutions and instead explain their own solutions.</p> Signup and view all the answers

<p>A windowed aggregation groups data over a specific time frame, while basic aggregation processes all data without considering time intervals.</p> Signup and view all the answers

<p>Distributive functions compute final values as aggregates of constant size, while algebraic functions apply operations on partial aggregates of fixed sizes.</p> Signup and view all the answers

<p>A windowed join correlates observations within a specific timeframe, such as joining temperature readings with time records.</p> Signup and view all the answers

<p>Holistic functions, like median and mode, maintain unbounded partial aggregates and are significant for calculating more complex statistics.</p> Signup and view all the answers

<p>The sliding window optimization involves scanning the stream for matching tuples and updating the window whenever new data arrives.</p> Signup and view all the answers

<p>A data stream is an unbounded, continuously growing set of data items that requires ongoing processing, unlike static data which is fixed and finite.</p> Signup and view all the answers

<p>The push model in data streams means that the source controls both data production and processing, often utilizing a publish/subscribe approach.</p> Signup and view all the answers

<p>The three concepts of time in stream processing are event time, ingestion time, and processing time.</p> Signup and view all the answers

<p>The turnstile model allows elements in a data stream to both enter and leave, represented as updates to a vector of elements.</p> Signup and view all the answers

<p>In a cash register model, elements can enter the data stream but cannot leave, maintaining a constant count of entries.</p> Signup and view all the answers

<p>It fosters a safe and inclusive environment for all participants.</p> Signup and view all the answers

<p>Java code, a README text file, and screenshots.</p> Signup and view all the answers

<p>Code is autograded while everything else is manually graded by instructors.</p> Signup and view all the answers

<p>Do not alter the test code or remove tests.</p> Signup and view all the answers

<p>The deadline is December 17, 2022.</p> Signup and view all the answers

<p>Implement a B+ Tree.</p> Signup and view all the answers

<p>The abstract class 'Node' and its subclasses 'InnerNode' and 'LeafNode'.</p> Signup and view all the answers

<p>There are 96 test cases in total.</p> Signup and view all the answers

<p>Make sure to run the tests locally and push your changes before the deadline.</p> Signup and view all the answers

<p>You need to score at least 6 points to pass.</p> Signup and view all the answers

<p>To ensure that only relevant and up-to-date data is maintained in the processing window.</p> Signup and view all the answers

<p>It can join bounded streams or unbounded streams with invalidation using an equijoin predicate.</p> Signup and view all the answers

<p>Big data often lacks full structure, making it unsuitable for conventional database operations.</p> Signup and view all the answers

<p>It is only effective for large static datasets and has high latency and low efficiency in processing streams.</p> Signup and view all the answers

<p>It enhances the efficiency and responsiveness of data processing by minimizing latency.</p> Signup and view all the answers

<p>Probing involves searching for matching tuples in the right stream based on an incoming left tuple.</p> Signup and view all the answers

<p>They do not fully leverage the potential of big data, which requires more complex analyses.</p> Signup and view all the answers

<p>Windows define the subset of data being processed at any one time, allowing for real-time analysis.</p> Signup and view all the answers

<p>Mini-batch processing is easy to implement, provides consistency, and offers fault-tolerance.</p> Signup and view all the answers

<p>True streaming architecture processes one record at a time, while mini-batch processing handles several records in batches.</p> Signup and view all the answers

<p>Map and Reduce are two basic transformations.</p> Signup and view all the answers

<p>Time-based, count-based, and delta-based windowing are examples of flexible windowing semantics.</p> Signup and view all the answers

<p>Control events are crucial for managing the flow of data and triggering specific actions within a stream.</p> Signup and view all the answers

<p>Binary stream transformations, such as CoMap and CoReduce, operate on two input streams simultaneously.</p> Signup and view all the answers

<p>Native support for iterations allows systems to handle recurring processes within data streams efficiently.</p> Signup and view all the answers

<p>Temporal binary stream operators perform operations based on time, such as Joins and Crosses.</p> Signup and view all the answers

<p>Event time complicates the accuracy and ordering of data processed in mini-batches.</p> Signup and view all the answers

<p>Stream processing enables real-time data analysis and immediate insights.</p> Signup and view all the answers