【Answer】1. D 2. D 3. A 4. ABCD 5. ABCD
【Winner】Jul_ang, GhaziAsad, MahMush, mustafa211, thisu
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Hello, everyone!
Join the Community Learning week IT class!
IT class learning time of this phase: October 11th – October 16th.
Answer time of this class: October 11th, 8 AM - October 12th, 4 PM (UTC+0).
Class topic
1. Basic Principle of Spark and Architecture
This post will give you an overview of Spark. Spark Huawei Spark clusters adopt is a distributed computing framework based on memory. In iterative computation scenarios, data is stored in memory when being processed...(More)
2. Basic Principle about HBase
Today I'm going to introduce you HBase. HBase is a distributed, column-oriented storage system built on the Hadoop Distributed File System (HDFS). The column-based HBase features high reliability, performance, and scalability. HBase is suitable for storing big table data (a table containing billions of rows and millions of columns) and allows real-time data access....(More)
3. FusionInsight (Issue 9) HBase Enhanced Features
HBase is a non-relational database management system that is highly reliable, high-performance, scalable and column-based. It runs on the Hadoop distributed file system (HDFS)...(More)
4. Spark: Spark Streaming Optimization
The Spark Streaming is a mini-batch flow processing frame, which features second delay and high throughput. As a result, the aim of Spark Streaming tuning is to enhance the throughput capacity of the Spark Streaming to process as much data as possible in a unit period in the scenario of second delay...(More)
5. FusionInsight (Issue 10) Spark
Spark is an open-source distributed and parallel data processing framework developed by the UC Berkeley AMO Lab...(More)
Class Q&As
After attending this class, please answer all the following questions and submit. Once submitted, the answer cannot be modified.
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