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Steps to Install Kafka on Ubuntu 20.04: 8 Easy Steps

February 7th, 2022 By Sarad in Data Integration, Kafka

Key Takeaways Apache Kafka on Ubuntu installation sets up distributed message streaming platforms for enhanced real-time data processing, scalability, and fault tolerance. The integration involves configuring Java dependencies, Zookeeper coordination…

9 Google BigQuery Data Types: A Comprehensive Guide

February 8th, 2022 By Bukunmi I in BigQuery, Data Warehousing

Understanding the multitude of data types provided by BigQuery and effectively mapping data from source data types to BigQuery data types can be a daunting task. These data types help…

How to Migrate MySQL Database Between Two Servers?

April 10th, 2023 By Rachit in Database Management System, MySQL

There are many use cases when you must migrate MySQL database between two servers, like cloning a database for testing, a separate database for running reports, or completely migrating a…

Snowflake Architecture & Concepts: A Comprehensive Guide

January 18th, 2019 By Suresh H in Data Warehousing, Snowflake

This article helps focuses on an in-depth understanding of Snowflake architecture, how it stores and manages data, and its micro-partitioning concepts. By the end of this blog, you will also…

Google Sheets to BigQuery: 3 Ways to Connect & Migrate Data

April 30th, 2023 By Bukunmi I in BigQuery, Data Integration

As your company grows and starts generating terabytes of complex data, you will have data stored in different sources. That’s when you need to incorporate a data warehouse, such as…

Top 8 Data Pipeline Tools in 2025

September 6th, 2021 By Sourav Choudhury in Data Engineering, Data Pipeline

Key Takeaways Here are the 8 best data pipeline tools in 2025: Hevo Data: Best for no-code real-time pipelines with automated schema mapping Stitch: Best for simple ETL pipelines with…

Amazon Redshift Vs RDS Comparison: 9 Critical Factors

December 30th, 2021 By Suraj in Data Warehousing, Redshift, Versus

At this point in the evolution of Cloud infrastructures, every company is contemplating whether moving to a completely managed database service makes sense instead of using an on-premise database. The…

How to Implement BigQuery ETL? 11 Best Practices For High Performance

January 31st, 2022 By Faisal K K in BigQuery, Data Integration, ETL

As businesses grow, managing their large data volumes becomes increasingly crucial. One of the most famous tools for managing and storing data is Google Bigquery. Due to its unique architecture…

Amazon Redshift Vs DynamoDB – The Complete Comparison

September 6th, 2019 By Vivek Sinha in Data Warehousing, Redshift, Versus

Completely managed databases offered as cloud services have transformed the application design landscape to the extent that even the smallest of organizations can now enjoy scalability and reliability without being…

Redshift Sort Keys: 3 Comprehensive Aspects

February 8th, 2022 By Vivek Sinha in Data Warehousing, Redshift

Amazon Redshift is a fully managed, distributed Relational Data Warehouse system. It is capable of performing queries efficiently over petabytes of data. Nowadays, Redshift has become a natural choice for…

How to Load Data from Google Sheets to MySQL?

April 18th, 2023 By Vernon DaCosta in Data Integration, MySQL

Integrating Google Sheets with MySQL offers a powerful way to combine the simplicity of spreadsheet data entry with a relational database's advanced data handling capabilities. Whether you're aiming to automate…

Amazon Redshift vs Aurora: 9 Critical Differences

August 12th, 2019 By Sourabh in Data Warehousing, Redshift, Versus

AuroraDB is a relational database engine that comes as one of the options in the AWS Relational Database as a service. Amazon Redshift, on the other hand, is another completely…

Redshift Distribution Key – Choosing Best Distribution Style

September 20th, 2018 By Vivek Sinha in Data Warehousing, Redshift

Amazon Redshift is a fully managed, distributed relational database system. It is capable of performing queries efficiently over petabytes of data. High parallel processing, columnar design, and data compression encoding…

What Is Google BigQuery? Features, Architecture & Use Cases

January 7th, 2022 By Puneet Jindal in BigQuery, Data Warehousing

Google BigQuery is a fully managed data warehouse tool. It allows scalable analysis over a petabyte of data, querying using ANSI SQL, integration with various applications, etc. To access all…

Loading Data to Redshift: 4 Best Methods

October 19th, 2019 By Vivek Sinha in Data Integration, Redshift

Amazon Redshift is a petabyte-scale Cloud-based Data Warehouse service. It is optimized for datasets ranging from a hundred gigabytes to a petabyte can effectively analyze all your data by allowing…

How to Migrate Data from Oracle to Snowflake Within Minutes?

April 30th, 2023 By Faisal K K in Data Integration, ETL, Snowflake

Quick Takeaway Moving data from Oracle to cloud native data warehouse like snowflake involves steps such as extracting data, transforming it and loading it into Snowflake. It can either be…

How to Replicate data from MySQL to BigQuery? (with Code)

April 25th, 2023 By Faisal K K in BigQuery, Data Integration, MySQL

With the BigQuery MySQL Connector, users can perform data analysis on MySQL data stored in BigQuery without the need for complex data migration processes. With MySQL BigQuery integration, organizations can…

The Need for Data Warehouse in 2025

October 6th, 2021 By Rajashree in Data Warehousing

To make smart choices these days, businesses really need fast, dependable access to data that's clean and organized. A Data Warehouse plays a pivotal role in centralizing data from multiple…

What is Kafka Exactly Once Semantics? How to Handle It?

February 26th, 2017 By Vivek Sinha in Data Warehousing, Kafka

Apache Kafka Exactly Once semantics is something which was much talked about but never achieved. Recently, Neha Narkhede, CTO of Confluent wrote an article that introduced the holy grail of…

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