Learn about data integration, migration, replication, and strategic data practices.

How to Load Data from Oracle to Iceberg

March 9th, 2025 By Srishti in Data Integration

Relational databases like Oracle have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern…

What Is DynamoDB CDC? Methods, Benefits & Use Cases

March 9th, 2025 By Srujana Maddula in Change Data Capture CDC

Does your organization rely on real-time analytics for decision-making, or is your product itself a real-time application? Either way, systems majorly fail when the database can't keep up. That's why…

How To Migrate Data From Postgres To Iceberg?

March 9th, 2025 By Srishti in Data Integration, PostgreSQL

Relational databases like Postgres have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern…

Top 10 Data Modeling Best Practices You Simply Can’t Ignore

February 23rd, 2025 By Srishti in Data Engineering

You often find yourself caught in data complexity issues like data complexity, communication breakdowns, and data quality issues, making it tough for your teams to handle data modeling. Data modeling…

Data Ingestion vs Data Integration: What Is the Right Approach for Your Business

February 23rd, 2025 By Muhammad Usman Ghani Khan in Data Integration

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of…

Healthcare Data Integration: Key Components, Challenges & Tools Explained

February 21st, 2025 By Asimiyu Musa in Data Integration

As the advancements in healthcare technologies continue to increase, the amount of healthcare data recorded also increases. This ranges from patient records and clinical trials to insurance claims and operational…

What is Data Orchestration?[+Steps, Components, Tools]

February 21st, 2025 By Asimiyu Musa in Data Engineering

This guide dives into data orchestration, its components, tools, importance, and best practices in data. It can be defined as the process or a tool that manages data-related activities. It…

Iceberg Catalogs: Key Features, Benefits, and Insights You Should Know!

February 21st, 2025 By Srishti in Data Engineering

Imagine you're managing a massive lake of data, but without a solid catalog, you find yourself: Facing difficulty in data discovery as data is scattered makes it hard to find…

How to Build a Modern Data Team Structure?

February 16th, 2025 By Khawaja Abdul Ahad in Data Engineering

It is the 21st century and you are leading a fast-growing fintech startup that is about to hit a breaking point. The data team has doubled in size over six…

Big Data Integration: Are You Making the Most of Its Potential?

February 16th, 2025 By Srishti in Data Integration

You work with data to gain insights, improve decisions, and develop new ideas. With more and more data coming from all sorts of places, it's super important to have a…

What Is a Universal Semantic Layer? Implentation Steps, Popular Tools & Use Cases Explained

February 16th, 2025 By Srujana Maddula in Data Strategy

Big data is now crucial for driving business decisions. Companies are tapping into it to gain valuable insights and make smarter moves. To unlock this power, they're using tools like…

What Is Data Integration in Business Intelligence: Key Steps, Top Tools & Best Practices

February 16th, 2025 By Maria Asghar in Data Integration

Whether in healthcare or the retail industry, everyone needs data to succeed in their business. Data helps make clear decisions and helps businesses understand people and their needs. That is…

What Are the Important ETL Requirements: Explained in Detail

February 7th, 2025 By Ruhee Shrestha in Data Integration, ETL

Building data pipelines requires a highly technical skill set, which your organization can accomplish by hiring a data engineering team or purchasing an ETL tool or data integration platform such…

What is Google Dataflow?

February 7th, 2025 By Raju Mandal in Data Engineering

Have you heard of the Google Cloud Platform, offering a completely managed stream and batch data processing service? Well, this modern data engineering technology plays an essential part in dealing…

What Is ETL Data Mapping And Why Should You Know About It?

February 7th, 2025 By Vishal Agrawal in Data Engineering

In today’s data-driven world, businesses rely solely on data to make informed decisions. For this, they need to efficiently extract, transform, and load (ETL) vast amounts of data. While ETL…

What is ETL Data Modeling? The Why’s and How’s

January 31st, 2025 By Muhammad Usman Ghani Khan in Data Engineering

Businesses rely on data to drive decisions, uncover trends, and stay ahead of the competition. But raw data is often messy, scattered across multiple sources, and difficult to analyze effectively.…

Coalesce vs dbt: 7 Key Differences & Best Choice for You

January 31st, 2025 By Kamlesh in Data Strategy, Versus

Choosing the right data transformation tool can make all the difference for efficient data workflows. Coalesce and dbt are two of the most popular choices that bring unique features to…

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…

Hevo vs dbt: Choosing the Best Tool for Your Data Needs

January 31st, 2025 By Skand Agrawal in Data Strategy, Versus

Given the era of big data, organizations are producing and analyzing enormous amounts of data daily. They use tools that enable streamlining data ingestion, transformation, and analysis to try to…

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Recent Articles

How to Load Data from Oracle to Iceberg

What Is DynamoDB CDC? Methods, Benefits & Use Cases

How To Migrate Data From Postgres To Iceberg?

Top 10 Data Modeling Best Practices You Simply Can’t Ignore

Data Ingestion vs Data Integration: What Is the Right Approach for Your Business

Healthcare Data Integration: Key Components, Challenges & Tools Explained

What is Data Orchestration?[+Steps, Components, Tools]

Iceberg Catalogs: Key Features, Benefits, and Insights You Should Know!

How to Build a Modern Data Team Structure?

Big Data Integration: Are You Making the Most of Its Potential?

What Is a Universal Semantic Layer? Implentation Steps, Popular Tools & Use Cases Explained

What Is Data Integration in Business Intelligence: Key Steps, Top Tools & Best Practices

What Are the Important ETL Requirements: Explained in Detail

What is Google Dataflow?

What Is ETL Data Mapping And Why Should You Know About It?

What is ETL Data Modeling? The Why’s and How’s

Coalesce vs dbt: 7 Key Differences & Best Choice for You

ETL and SQL: How They Work Together, Best Tools & Best Practices

Hevo vs dbt: Choosing the Best Tool for Your Data Needs

Optimize Your Data Integration with Hevo!

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