8 Best Azure ETL Tools for Data Engineers to Consider in 2024 September 27th, 2024 By Kamlesh in Data Engineering In the data engineering industry, managing your data is critical for driving business. Data is gathered from various sources in all shapes and forms, and without the right set of…
Understanding Modern Data Architecture September 17th, 2024 By Asimiyu Musa in Data Engineering Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into…
Top 5 Kafka Tools for Data Engineers in 2024 September 13th, 2024 By Sarad Mohanan in Data Engineering As the dependency on high-quality, real-time data availability increases, the need for event/data streaming tools becomes increasingly crucial. Apache Kafka has become one of the most trending event streaming platforms,…
Airflow Architecture: 101 on Workflow Orchestration September 11th, 2024 By Chirag Agarwal in Data Engineering Data pipelines and workflows have become an inherent part of the advancements in data engineering, machine learning, and DevOps processes. With ever-increasing scales and complexity, the need to orchestrate these…
How to Code a Data Pipeline Python September 11th, 2024 By Raju Mandal in Data Engineering, Data Pipeline A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right…
Building a Successful Data Migration Team September 6th, 2024 By Khawaja Abdul Ahad in Data Engineering Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them…
What is a Modern Data Stack? – Everything You Need to Know September 6th, 2024 By Srujana Maddula in Data Engineering Building an efficient data stack that can handle big data is no small feat, whether due to growing data demands or operational costs. A modern data stack solves these problems…
Informatica vs Snowflake: Which Tool to Choose? September 5th, 2024 By Nitin Birajdar in Data Engineering Nowadays, businesses heavily rely on data to make informed decisions. Choosing the right tool and data management platform can make or break the business. From small startups to large enterprises,…
Alteryx vs Matillion: A Side-by-Side Detailed Comparison September 5th, 2024 By Suraj Poddar in Data Integration, Data Pipeline Data is the new currency in today's world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze…
How to Perform Airflow Oracle Connection? September 1st, 2024 By Khawaja Abdul Ahad in Data Engineering Imagine putting hours into manually handling data tasks only to discover that one small mistake has caused the entire process to fail. Yes, it is frustrating. This is why automation…
Airflow vs Azure Data Factory: Guide to Choose the Right Tool September 1st, 2024 By Arjun Narayan in Data Engineering Managing and orchestrating data workflows efficiently is crucial in today's data-driven world. As the amount of data constantly increases with each passing day, so does the complexity of the pipelines…
Informatica vs MuleSoft: Which Data Integration Tool is Right for You? August 23rd, 2024 By Roopa Madhuri G in Data Engineering With growing data and business needs, having an efficient data integration tool to migrate and manage your data has become crucial. Almost every organization keeps its data in different locations,…
Airflow vs NiFi: Choosing the Right Tool August 23rd, 2024 By Kamlesh in Data Engineering In the modern, data-driven world, efficient workflow automation and data pipeline orchestration are crucial for any organization connected to complicated data systems. Whether a data engineer, IT professional, or decision-maker…
Building a Data Engineering Team: Strategies and Best Practices August 22nd, 2024 By Usama Hameed in Data Engineering Having a robust data engineering team is crucial for organizations to extract maximum value from their data assets. A well-structured data engineering team can streamline data pipelines, ensure data quality,…
Tableau Semantic Layer: A Detailed Guide August 21st, 2024 By Radhika Gholap in Data Engineering Today’s data era is all about collecting data from multiple sources and analyzing it to extract valuable business insights. However, with the vast amounts of data generated daily, general SQL…
dbt vs Airflow: A Comprehensive Guide August 21st, 2024 By Muskan Kesharwani in Data Engineering Data has become the foundation of any successful business. The ability to efficiently extract, transform, and load data for analysis is crucial for making informed data-driven decisions. Therefore, the tools…
How to Extract Snowflake Data Observability Metrics Using SQL August 21st, 2024 By Asimiyu Musa in Data Engineering Ensuring the quality and reliability of data is crucial in today’s data-driven world, as it is essential for making informed decisions and improving operational efficiency. This is where data observability…
AWS DMS CDC Oracle: Configuration, Limitations, and Alternatives August 5th, 2024 By Chirag Agarwal in Change Data Capture CDC, Data Engineering, Data Streaming In today’s fast-paced data landscape, real-time data replication and synchronization are critical for maintaining operational efficiency and making timely decisions. AWS Database Migration Service (DMS) offers a comprehensive database migration…
AWS DMS Redshift: Migrate Data to Redshift using AWS DMS August 2nd, 2024 By Suraj Poddar in AWS, Data Engineering, Redshift In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most businesses…
Data Lake vs Delta Lake: Which is Better for Your Data Strategy? July 31st, 2024 By Martina Šestak in Data Engineering The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently…