DAT 260 Module Three Assignment Template

.docx

School

Southern New Hampshire University *

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Course

260

Subject

Electrical Engineering

Date

Dec 6, 2023

Type

docx

Pages

3

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DAT 260 Module Three Assignment Template
Tool Strengths Weaknesses Best Used Hive Cost Speed Reliability User Friendly Mobile Functionality Assistance with Unstructured Data. Apache Hive can quickly and effectively gather and analyze billions of bytes of data because of its use of batch computing, making it perfect for both processing the data and executing queries on demand. It will fit well in all businesses large or small. The data analytics tasks for this would be SQL. Spark Advanced Analytics Dynamic Multi-Language Engine File Management System Lesser Algorithms Manual Optimization Process The major usage of Apache Spark is streaming data, which may be accessed from systems including Kafka or Hadoop outputs or simply files on storage. Spark is intended for interactive searches on huge datasets. A particular industry that Apache Spark would be suited for is the gaming industry. It’s best suited for more complex and real time data analytics. Flink Low Latency High Throughput Fault-Tolerance Complexity Memory Management Limited Integration Big data and application streaming can be handled with the help of Apache
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