ETL and SQL: How They Work Together, Best Tools & Best Practices January 31st, 2025 By Asimiyu Musa in Data Integration, ETL The advancement of technology and data management tools has made it possible for businesses and organizations to generate data at a higher rate. These data are then analyzed, and the…
Marketing Data Integration: What Is It and How It Works? January 31st, 2025 By Christina Rini in Data Integration With growing businesses, marketing teams are flooded with a wealth of data from various platforms such as social media, email campaigns, customer feedback, websites, and offline in-store. The real challenge…
What is ETL Architecture? [Diagram, Steps, Challenges and Best Practices] January 27th, 2025 By Khawaja Abdul Ahad in Data Integration, ETL The average organization generates 2.5 quintillion bytes1 of data daily. Businesses globally prioritize data management due to its exponential growth. How can organizations extract, convert, and load (ETL) meaningful and…
Data Lineage in ETL: Importance, Challenges, and Solutions January 27th, 2025 By Sarang Ravate in Data Integration, ETL The term ‘lineage’ mainly creates a genealogy or family background or the manner in which people are related across the generations. Data lineage is no different in concept. It gives…
Gartner Magic Quadrant For Data Integration Tools – Everything to Know January 11th, 2025 By Radhika Sarraf in Data Integration Every year, Gartner rolls out its Magic Quadrant for Data Integration Tools, a trusted guide for data leaders on the hunt for the perfect integration tool. Think of it as…
How to Connect to Oracle DB: 3 Easy Methods January 8th, 2025 By Sarang Ravate in Data Integration The Oracle Database is used by many companies around the world as the basis for the storage and processing of information. It is well adopted across all markets, including the…
HR Data Integration: Challenges, Benefits, and Best Practices January 5th, 2025 By Kamlesh in Data Integration The trend of today's information-driven world is to make decisions based on information. The human resources departments are not left behind in this trend. Integration of HR data has become…
Why is Customer Data Integration(CDI) Important for Your Organization? December 30th, 2024 By Kamlesh in Data Integration, Data Strategy Customer data integration, or CDI, is the process of combining and consolidating customer information from multiple sources into one single, accurate view. Thus, it eliminates data silos, improves customer insights,…
Navigating Data Integration Problems: Challenges, Insights, and Practical Solutions December 15th, 2024 By Muhammad Usman Ghani Khan in Data Integration The rapid growth of data is changing industries globally. According to Statista, in 2024, the overall amount of data created equaled 149 zettabytes, while the estimated number by 2028 is…
Hevo vs Airflow: The Better Tool? December 6th, 2024 By Sarad Mohanan in Data Integration Data integration is an integral part of modern business strategy, enabling businesses to convert raw data into actionable information and make data-driven decisions. Tools like Apache Airflow are used and…
Matillion vs Airflow: Which one to choose in 2025? December 6th, 2024 By Arjun Narayan in Data Integration, ETL Matillion is a cloud-based ETL tool known for its user-friendly, low-code interface. It’s great for teams that want to get pipelines up and running quickly without heavy coding. It also…
Matillion vs Talend: Which ETL Tool Should you Choose? November 29th, 2024 By Kamlesh in Data Integration, ETL An ETL tool, which has become the critical choice for any organization today, is tied directly to the ever-growing importance of data integration. However, both Matillion and Talend are among…
Airbyte vs Stitch: 5 Core Comparisons with Use Cases November 29th, 2024 By Roopa Madhuri G in Data Integration, ETL With so many data integration tools available these days, it can become very overwhelming to choose one that best suits your needs. Here in this blog post, I have broken…
How to Integrate DynamoDB to S3 Within 1 Minute? October 28th, 2024 By Kamlesh in AWS, Data Integration Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…
How to Connect Facebook Ads to Redshift within 1 Minute? October 28th, 2024 By Sourav Choudhary in Data Integration, Redshift Building a Data Pipeline to Connect Facebook Ads to Redshift Using Hevo Steps to Build the Pipeline for Facebook Ads to Redshift Step 1: Configure Facebook Ads as your Source.…
How to Sync Data from Zendesk to Redshift Within 1 Minute? October 28th, 2024 By Winifred Butler in Data Integration, Redshift Interactive Demo to Connect Zendesk to Redshift Steps to Connect Zendesk to Redshift Easily Step 1: Configure Zendesk as your source. Click on the ‘Create Pipeline’ button. Search for ‘Zendesk’…
How to Connect Freshdesk to Redshift Within 1 Minute? October 28th, 2024 By Eva Brooke in Data Integration, Redshift Migrating data from Freshdesk to BigQuery is essential for teams that want deeper insights into their customer support operations. I’ve seen firsthand how handling large volumes of support tickets and…
ETL Tool Evaluation Checklist: 7 Factors to Consider October 18th, 2024 By Kamlesh in Data Integration, ETL ETL stands for Extract, Transform, and Load. ETL is a process of transferring data from various sources to target destinations/data warehouses and performing transformations in between to make data analysis…
How to Build a Kafka to BigQuery Data Pipeline in 1 Minute? October 17th, 2024 By Suraj Poddar in BigQuery, Data Integration Building a Data Pipeline to Connect Kafka to BigQuery Using Hevo Steps to Build the Pipeline for Kafka to BigQuery Step 1: Configure Kafka as your Source. Click on 'Create…
Data Orchestration vs. ETL: Choosing the Right Approach for Your Data Pipeline October 9th, 2024 By Khawaja Abdul Ahad in Data Integration, ETL Did you know that businesses lose more than $3 trillion a year due to inadequate data management, according to an IBM estimate1 from 2016? The need for effective data management…