Fivetran vs Matillion: Detailed Comparison for 2024 August 6th, 2024 By Arun Chaudhary in Platform, Product Introduction In the data-driven modern world, organizations are quite dependent on ETL tools that help them integrate their data efficiently. These are the tools that base their guarantee of a…
AWS DMS Postgres: Migration Made Easy August 6th, 2024 By Skand Agrawal in AWS, Data Integration, PostgreSQL In today’s dynamic business environment, companies often need to migrate their databases for many different reasons, ranging from scaling their operations to modernizing their technology stack or moving to the…
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…
Azure Data Factory ETL Tutorial: Step-by-Step Guide August 5th, 2024 By Ahmed Shaaban in Data Integration, ETL With the increase in data size and the diversity of data sources and destinations, companies and data teams are always on the lookout for tools that can simplify creating and…
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…
Fivetran vs Airbyte: Comparison of Leading Data Integration Tools August 1st, 2024 By Roopa Madhuri G in Platform, Product ETL tools have become essential for businesses, making data integration and transformation smooth and efficient. With so many ETL tools available, choosing the right one for your needs can be…
Snowflake Polaris Catalog – What is it? August 1st, 2024 By Neha Sharma in Data Warehousing, Snowflake As data continues to drive modern-day business decisions, the need for interoperable engines with open-source table formats becomes paramount. Addressing this need, Snowflake introduced the Polaris catalog for Apache Iceberg…
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…
How to Build RAG Applications Using Snowflake Cortex? July 30th, 2024 By Srujana Maddula in Data Warehousing, Snowflake GPT has become a go-to search engine for many. We often use it instead of Google to get a quick solution for any query. Given its popularity, why don’t you…
Optimizing Data Warehouse Cost using Apache Iceberg July 30th, 2024 By Raju Mandal in Data Warehousing Data warehouses bring phenomenal results from well-informed, data-driven decision-making for an organization. There were times when only companies with large capital, and substantial IT infrastructures invested time and effort, let…
Iceberg Architecture Examples: How Iceberg powers data and ML applications July 25th, 2024 By Radhika Gholap in Data Engineering In recent years, Apache Iceberg has seen considerable advancements that highlights its growing importance. Major tech companies like Google, Snowflake, and Databricks have increasingly embraced this table format. Google integrated…
How are Apache Iceberg Tables Optimizing Data Lake Management? July 25th, 2024 By Rahul Thakor in Data Engineering A data lake is a central storage place for an organization's data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and…
Avro vs Parquet: Which File Format is Right for You? July 24th, 2024 By Dipal Prajapati in Data Engineering While working with huge amounts of data, Data serialization plays an important role in the performance of the system. Data Serialization converts complex data structures, such as graphs, trees, etc.,…
Snowflake Universal Search: A Game-Changer for Data Discovery July 24th, 2024 By Asimiyu Musa in Data Warehousing, Snowflake Searching for data manually in Snowflake can be very challenging, time-consuming and sometimes frustrating. Snowflake identifies these problems and has developed Universal Search to change the way we search for…
Data Warehouse vs Data Lake vs Data Lakehouse – Key Comparisons July 23rd, 2024 By Gabriela Aleksandrova in Data Engineering With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific…
Apache Iceberg vs Delta Lake – Key Differences July 23rd, 2024 By Parvathy Ramakrishnan in Data Engineering Businesses are increasingly investing in data lakehouses due to their reduced costs, streamlined workloads, support for real-time data processing, and better decision-making. The global data lakehouse market is estimated to…
Using Emerging Technologies to Address Data Lake Challenges July 23rd, 2024 By Adedotun Adeboye in Data Engineering The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…
A Deep Dive into Data Lakehouses July 18th, 2024 By Ahmed Shaaban in Data Engineering The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business…
Mastering Data Ingestion in Your Apache Iceberg Lakehouse July 17th, 2024 By Raju Mandal in Data Integration Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to…
Apache Iceberg vs Parquet – Comparing Table and File Formats July 15th, 2024 By Srujana Maddula in Data Strategy Apache Iceberg and Parquet are popular storage formats in the big data industry. However, they are also often confused terms. So today, we’ll compare these two storage formats, their features,…