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00: Data Lake Vs. Data Warehouse Vs. Delta Lake

Modern data architectures will have both the Data Lakes & Data Warehouses. Q1. What questions do you need to ask for choosing a Data Warehouse over a Data Lake for your BI (i.e. Business Intelligence) reporting? A1. The gap between a data lake & … Read more ›...

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00: Q1 – Q6 Hadoop based Big Data architecture & basics interview Q&As

There are a number of technologies to ingest & run analytical queries over Big Data (i.e. large volume of data). Big Data is used in Business Intelligence (i.e. BI) reporting, Data Science, Machine Learning, and Artificial Intelligence (i.e. AI). Processing a large volume of data will be intensive on disk I/O,

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01: Lambda, Kappa & Delta Data Architectures Interview Q&As – Overview

Q1. What is the Lambda Architecture? A1. It is a data-processing architecture designed to handle Big Data by using both real-time streaming (e.g. Spark streaming, Apache Storm) and batch processing (E.g. Hive, Pig, Spark batch). This means you have to build 2 separate pipelines. … Read more ›...

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02: Q7 – Q15 Hadoop overview & architecture interview Q&As

This extends Q1 – Q6 Hadoop Overview & Architecture interview Q&As. Q7. What are the major machine roles in a Hadoop cluster? A7. The three major categories of machine roles in a Hadoop cluster are 1) Client machines. … Read more ›...

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05: Q37-Q41 – Data lake & metadata interview Q&As

Q37. What is a Data Lake? A37. A data lake is a storage repository that holds a vast amount of structured, semi-structured, and unstructured raw data in its native format (aka pristine condition). The data structure and requirements are not defined until the data is needed. … Read more ›...

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08: Q71 – Q75 ETL/ELT on BigData Interview Q&As

Q71. Can ETL in traditional data management (E.g. RDBMs) be migrated to EDH (i.e. Enterprise Data Hub) powered by Hadoop eco system? A71. Yes, it can be migrated, but it is not a direct & straight forward migration as there is a mismatch in underpinning concepts & … Read more...

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16: Q114 – Q115 CAP theorem interview Q&As

Q114. What does CAP stand for in CAP theorem? A114. In a distributed system having two or more nodes, and maintain one or more copies of your data, the CAP theorem defines: Consistency – Every read should give the most recent write. … Read more ›...

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Learn by categories such as FAQs – Core Java, Key Area – Low Latency, Core Java – Java 8, JEE – Microservices, Big Data – NoSQL, Architecture – Distributed, Big Data – Spark, etc. Some posts belong to multiple categories.
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