SQL is very easy to learn, but lots of hands-on experience is required to master to perform the below tasks.
1) Translating any business requirements into SQL.
2) Writing efficient, readable & maintainable SQL.
3) Breaking down &
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0: 25+ Big Data Engineering key concepts that Data Engineers must know
#01 Data Cardinality
In data modelling, cardinality is the numerical relationship between rows of one table & rows in another. Common cardinalities are one-to-one, one-to-many and many-to-many.
Data cardinality also refers to the uniqueness of the values contained in a database column.
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0: 50+ SQL scenarios based interview Q&As – What is wrong with this SQL code?
This extends 18+ SQL best practices & optimisation interview Q&As. You can practice these SQLs by setting up the data on db-fiddle MySQL V8.0 or a database server & SQL client of your choice.
Interviewers can use these 11 questions to quickly judge your real SQL experience without relying on what you say on your CV.
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00: 13 Data modelling interview Q&As – Fact Vs Dimension, CDC, SCD, etc – part 1
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. … Read more ›...
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00: 13 Data modelling interview Q&As – Fact Vs Dimension, CDC, SCD, etc – part 2
This extends Q1 to Q5 at 13 Data Warehouse interview Q&As – Fact Vs Dimension, CDC, SCD, etc – part 1. Q6. What is a Factless Fact table? A6. From the above store sales example we know that fact table is a collection of many facts having multiple keys joined...
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00: 50+ SQL scenarios based interview Q&As on identifying & deleting duplicate records
50+ SQL interview questions and answers to solve real business scenarios. SQL is widely used in building microservices & Big Data projects. Learning SQL syntax is easy, but being able to convert a given business requirement into a query takes lots of practice. These scenarios based interview questions can assesses your experience.
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00: Apache Spark eco system & anatomy interview questions and answers
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,
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00: Data Lake Vs. Data Warehouse Vs. Data Lakehouse Vs Data Fabric Vs Data Mesh
Modern data architectures will have both the Data Lakes and Data Warehouses. The Data Engineers build the data pipelines for the data analysts and scientists to build business reports & models to analyse the data.
What is Big Data?
Big Data is huge volumes of structured (e.g.…
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: Data Backfilling interview questions & answers
Q1. What is data backfilling? A1. Backfilling data is a process of reactively processing any missing data for a past time window. Q2. Why do you need to backfill data? A2. … Read more ›...
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01: AWS interview Q&As on VPC, Subnets, Availability Zones, VPN, Route tables, NACLs & Security Groups
This extends Architecture Networking. Here are some must know-concepts as a Cloud Engineer, Data Engineer or a Software Engineer.
The above diagram addresses many of the questions that follow.
Q1. What is a VPC in AWS?
A1. A virtual private cloud (VPC) is a virtual network dedicated to your AWS account.
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01: Azure interview Q&As on Region, VNet, Subnets, AZs, Availability Set, etc
This extends Architecture Networking. The below diagram will help you understand many of the following questions. Q01. What do you understand by the Azure terms Tenant, Subscription, Region, … Read more ›...
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