Analytics Application, Data Schemas, Designing and Metadata

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Design Detail.

Data Warehouse

Data Warehouse Cloud Kafka Cloud Storage

100+ Big Data Interview Questions and Answers 2023

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model. No reliability exists.

Big Data

Big Data Hadoop AWS Relational Database

Data Engineering Digest

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

100+ Big Data Interview Questions and Answers 2023

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