Top-10 Open Source Data Orchestration Tools August 16th, 2024 By Kamlesh in Data Strategy This blog explores the world of open-source data orchestration tools, highlighting their importance in managing and automating complex data workflows. From Apache Airflow to Google Cloud Composer, we’ll walk you…
Databricks SQL: Everything to Know July 3rd, 2024 By Sarthak Bhardwaj in Data Engineering Databricks SQL is an efficient platform for querying and analyzing large datasets. Its SQL editor, interactive dashboards, and robust BI tool integration features can help you streamline data exploration and…
Streamline Your Workflows With Oracle Data Integration June 28th, 2024 By Dimple M K in Data Strategy Data generated from various sources can make it challenging to integrate and leverage it to make sound, data-driven decisions efficiently. Oracle data integration, part of the broader Oracle Integration suite,…
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…
Snowpipe Alternatives You Should Consider for Your Data Needs July 10th, 2024 By Arjun Narayan in Data Integration, Snowflake While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in…
Get Complete Control on Destination Schema with Custom Schema Mapper April 20th, 2024 By Team Hevo in Data Strategy Hevo offers an automated schema mapper that eliminates the manual hassle of managing schema for your data team. However, there are use cases where your data team requires control over…
Comprehensive Guide to Modern Data Warehouse in 2024 September 5th, 2024 By Sakshi Kulshreshtha in Data Warehousing A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data…
Debezium Testing for CDC using Test Containers: 3 Easy Steps June 20th, 2024 By Manjiri Gaikwad in Change Data Capture CDC Debezium is a distributed, open-sourced platform for tracking real-time changes in databases. It is called an event streaming platform as it converts data changes on databases into events, and when…
Talend vs Informatica: Comparison of Data Integration Tools for 2024 August 21st, 2024 By Sarthak Bhardwaj in Platform, Product In today’s data-driven world, businesses rely heavily on data integration tools to streamline their data workflows. These tools are crucial in extracting, transforming, and loading (ETL) data from various sources…
Data Migration Made Easy: GCP MySQL to Databricks May 24th, 2024 By Sarthak Bhardwaj in Data Integration, MySQL Businesses of all sizes use GCP MySQL, a managed relational database service, for its reliability and robust capabilities in handling structured data. However, as data volumes grow and analytics become…
Build & Deploy AWS Lambda GraphQL APIs: 2 Easy Steps June 7th, 2024 By Arsalan Mohammed in AWS, Data Strategy Organizations continuously update their applications and services to keep them up to date with the technology. Modern applications stream data using APIs while delivering smooth performance. Large websites and applications…
Integrating Slack SQL Server: Increase Collaboration Using 2 Effective Methods May 31st, 2024 By Dimple M K in Data Integration, SQL Server Communication and data management are essentials for running a business. Most corporations run their businesses over the cloud, with employees working worldwide. Cloud-based messaging and data storage have become essential…
Snowflake Substring: A Comprehensive Guide May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake The snowflake substring function is a must-have in your arsenal. In this tutorial, you will learn how to use the Snowflake substring or substr function, the different arguments that can…
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.…
Working With AWS Lambda Java Functions: 6 Easy Steps May 17th, 2024 By Skand Agrawal in AWS, Data Strategy Companies regularly need to update their applications for smooth functioning and implementation of new features. Developers continuously work on making the applications fast, smooth and secure. Modern applications use serverless…
Deploying Debezium on Red Hat OpenShift: 2 Easy Steps June 25th, 2024 By Ishwarya M in Data Strategy Debezium is the database monitoring platform that continuously captures and streams all real-time modifications updated on the respective database systems like MySQL and PostgreSQL. Usually, developers use CLI tools like…
Fivetran vs dbt: Everything you need to know about this duo August 8th, 2024 By Arjun Narayan in Platform, Product The right choice of tools makes all the difference in ETL or ELT processes in today's fast and ever-changing data analytics environments. The ever-increasing volume and rising complexity of data…
Types of ETL Tools: The Complete Guide 101 April 26th, 2024 By Manjiri Gaikwad in Data Integration, ETL Organizations use ETL (Extract, Transform, and Load) to obtain quality data to expedite decision-making. However, the myriad of available ETL tools makes it challenging for organizations to evaluate and embrace…
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…
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…