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00: 13 Data Warehouse interview Q&As – Fact Vs Dimension, CDC, SCD, etc

Q1. What is dimensional modelling in a Data Warehouse (i.e. DWH)?
A1. A dimensional model is a data structure technique optimised for Data Warehousing tools (i.e. OLAP products). The concept of Dimensional Modelling is comprised of Fact and Dimension tables.

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00: Apache Spark eco system & anatomy interview Q&As

Q01. Can you summarise the Spark eco system?
A01. Apache Spark is a general purpose cluster computing system. It provides high-level API in Java, Scala, Python, and R. It has 6 components Core, Spark SQL, Spark Streaming, Spark MLlib,

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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 ›...



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: Coding “Java way in Scala” Vs “Scala way in Scala”

Example #1: Read from a list & write to a list

Java Way in Scala

Output: List(Java Programming, Scala Programming, Ruby Programming)

Scala Way in Scala: Using the “map” functional combinator

Immutable code as shown below using the “map”

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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 ›...



01: Python Iterators, Generators & Decorators Tutorial

Assumes that Python3 is installed as described in Getting started with Python.

1. Iterators

Iterators don’t compute the value of each item when instantiated. They only compute it when you ask for it. This is known as lazy evaluation. Lazy evaluation is useful when you have a very large data set to compute.

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Java Interview FAQs

800+ Java Interview Q&As

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