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Understanding Change Data Capture (CDC) in MySQL and PostgreSQL: BinLog vs. WAL + Logical Decoding

Towards Data Science

Change Data Capture (CDC) is a powerful and efficient tool for transmitting data changes from relational databases such as MySQL and PostgreSQL. PostgreSQL (Physical Replication) : Uses Write-Ahead Logs (WAL), which record low-level changes to the database at a disk block level.

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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. Join as we journey through the depths of cost optimization, where every byte is a precious coin. It is also possible to set a maximum for the bytes billed for your query. Photo by Konstantin Evdokimov on Unsplash ?

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50 PySpark Interview Questions and Answers For 2025

ProjectPro

Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. The following methods should be defined or inherited for a custom profiler- profile- this is identical to the system profile. dump- saves all of the profiles to a path.

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Data Engineer’s Guide to 6 Essential Snowflake Data Types

ProjectPro

Data engineers should carefully choose the most suitable data types for each column during the database design phase in any data engineering project. This decision impacts disk performance, resource allocation, and overall system efficiency. This optimization enhances input/output (I/O) operations and improves index performance.

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100+ Big Data Interview Questions and Answers 2025

ProjectPro

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. RDBMS is a part of system software used to create and manage databases based on the relational model. FSCK stands for File System Check, used by HDFS. Define and describe FSCK.

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Kafka Connect Deep Dive – JDBC Source Connector

Confluent

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Bytes, Decimals, Numerics and oh my.

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What Is Data Normalization, and Why Is It Important?

U-Next

quintillion bytes created every day. This means you can use your database management system (DBMS) to run reports on it or perform queries that would otherwise be impossible if the data were not normalized. If you run a service-based business, data will help you understand how your employees perform in their roles.

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