Popular Articles

Integrating Azure MySQL to Databricks: Unlock Real-Time Insights

May 10th, 2024 By Suraj Kumar Joshi in Data Integration, MySQL

Key Takeaways Integrating Azure MySQL with Databricks lets you run advanced analytics and ML on your live transactional data. Two streamlined approaches: Method 1: No-Code ELT (Hevo) Configure Azure MySQL…

Emerging Trends in the Data Integration Market

March 29th, 2024 By Sarad Mohanan in Data Integration

Innovation is the keyword when it comes to data integration. Things are constantly evolving, and part of being in the industry is keeping up with the trends. Businesses that innovate…

Redshift SELECT INTO 101: Syntax, Usage, and Examples Simplified

May 17th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift

A relational database that supports procedural language allows you to assign a value to a local variable within stored procedures by using the SELECT statement. Teradata and Oracle databases, for…

Airflow vs Azure Data Factory: Guide to Choose the Right Tool

September 1st, 2024 By Arjun Narayan in Data Engineering

KEY TAKEAWAY Airflow is ideal for teams that need custom and code-first workflow orchestration. Azure Data Factory is best for Azure-centric organizations seeking managed low-code ETL. Both tools introduce trade-offs…

Fivetran vs Supermetrics: A Guide to Choose the Right ETL Tool

April 23rd, 2025 By Vaishnavi Srivastava in Platform, Product

Key Takeaways Fivetran and Supermetrics both automate data integration, but serve different needs. Fivetran is built for engineers loading data into warehouses, while Supermetrics serves marketers pulling data into spreadsheets…

What are the 7 Critical Differences between Amazon Redshift vs Elasticsearch

May 3rd, 2024 By Rohit Guntuku in Data Warehousing, Redshift, Versus

Amazon Redshift is a Data Warehousing service. Redshift is based on the Amazon Web Services (AWS) architecture and provides great performance to its consumers. It's a columnar database, thus it's…

Understanding Databricks SQL: 16 Critical Commands

June 7th, 2024 By Amit Phaujdar in Data Warehousing

Databricks is an Enterprise Software company that was founded by the creators of Apache Spark. It is known for combining the best of Data Lakes and Data Warehouses in a…

The Data Engineering Wrap-Up: 2026’s Biggest Trends

December 19th, 2024 By Sid Lasley in Data Engineering

With the year 2026 going on, it is time to examine the significant trends and advancements that have impacted the field of data engineering. If you’re like me, you’ve been…

GCP Postgres to Databricks: 2 Ways for Effortless Integration

May 10th, 2024 By Shuchi Chitrakar in Data Integration, PostgreSQL

Easily move your data from GCP Postgres To Databricks to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see…

What is Snowflake Data Governance?? [+Steps and Best Practices for Setup]

June 14th, 2024 By Chirag Agarwal in Data Warehousing, Snowflake

Data governance is essential for any organization managing large amounts of data, and Snowflake makes it easier with its built-in tools and features. Snowflake Data Governance ensures that your data…

Airflow vs AWS Glue: Comparison of Leading Data Integration Tools for 2026

August 21st, 2024 By Nitin Birajdar in Platform, Product

KEY TAKEAWAY Apache Airflow excels at orchestrating and scheduling multi-system workflows with fine-grained control. However, it demands infrastructure management and Python expertise. AWS Glue focuses on serverless ETL inside the…

Airflow Kubernetes Configuration 101: 5 Critical Steps

June 14th, 2024 By Suraj Poddar in Data Strategy

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

Understanding Data Warehouse Architecture

September 10th, 2024 By Neha Sharma in Data Warehousing

In today’s competitive era, data is a catalyst fueling businesses to grow faster. As data volumes increase, fetching insights from this data comes with its challenges. Sure, you can use…

Redshift Incremental Load: 2 Easy Methods

June 20th, 2024 By Arsalan Mohammed in Data Warehousing, Redshift

Data loading is a surmountable task for organizations all over the world. While several platforms make this task easier, several data loading issues surface regularly. Amazon's Redshift is a popular…

How to Migrate Data from Salesforce Marketing Cloud to Snowflake?

May 17th, 2024 By Shuchi Chitrakar in Data Integration, Snowflake

Easily move your data from Salesforce Marketing Cloud To Snowflake to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…

What Are ETL Pipelines? Steps, Benefits, and Use Cases

January 27th, 2025 By Radhika Gholap in Data Engineering, Data Pipeline

In today’s fast-paced digital landscape, businesses face the daunting challenge of extracting valuable insights from large amounts of data. The ETL (Extract, Transform, Load) pipeline is the backbone of data…

Snowflake Data Masking: An Efficient Column-Level Security Feature

June 14th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Your organization might store sensitive data such as identification numbers, date of birth, or account numbers in Snowflake data warehouse tables. To ensure this information is accessible only to authorized…

Hive vs Redshift: 10 Key Differences

May 3rd, 2024 By Suraj Poddar in Data Warehousing, Redshift, Versus

The amount of data to be stored, monitored, and analyzed grows tremendously as a company grows. Queries on typical Database Warehouses will begin to take longer, making Data Management more challenging. With…

Debezium Serialization with Avro and Apicurio Registry Simplified: Everything You Need to Know

June 20th, 2024 By Manjiri Gaikwad in Data Strategy

Organizations use Kafka and Debezium to track real-time changes in databases and stream them to different applications. But often, due to a colossal amount of messages in Kafka topics, it…

What are Databricks Materialized Views and How to Boost Query Performance Using Them?

November 15th, 2024 By Christina Rini in Data Engineering

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down…