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Oracle-to-Azure-SQL-Server-Migration-Validation

Oracle to Azure Synapse Data Warehouse Migration Validation

any organizations continue to use Oracle database for storing transactional and warehouse data in their on-premise data centers. However, with data growing exponentially, their data environments are struggling to handle the growing load which requires more processing power and...
DataOps-Feature-Updates

DataOps Suite Feature Updates – Version 2022.5.0

Datagaps Inc. announced its latest product feature updates for the DataOps Suite Version 2022.5.0 – The theme of this update is Integration and Easy to apply Analysis. If you are interested in getting a demo of DataOps Suite, you can fill your details here....
Oracle-to-Azure-Synapse-Data-Warehouse-Migration-Validation

Oracle to Azure SQL Server Migration Validation

Many organizations continue to use Oracle database for storing transactional and warehouse data in their on-premise data centers. However, with data growing exponentially, their data environments are struggling to handle the growing load which requires more processing power...
Cloud-Applications

How To Evaluate ETL Testing Tools

Today, Data has become the core of any business, and ETL processes are important for every data-related project. Be it Data Warehouse or Data Lake every business builds and runs thousands of ETL processes for its data movement. Data validation and ETL Testing will be of prime importance...
data gap

Datagaps Attains Snowflake Select Technology Partner Status

Datagaps Inc. announces a new partnership with Snowflake, the Data Cloud company. Datagaps attains Snowflake Select Technology Partner in the space of Data and Business Intelligence Validation to help organizations validate their migration to Snowflake’s Data Cloud....
Why-ETL-Validator-when-there-is-Python_-17

Why ETL Validator when there is Python?

Pitfall-of-Cloud-data-migration-24-1

Pitfalls of Cloud Data Migration

This statistic shows a grim picture of wasted effort. But to replace CapEx with OpEx cloud data migration and cloud migration, in general, is a popular solution. Enterprises are looking for ways to scale data storage, due to AI and ML and given the volume of data being generated and...
Automating-Big-Data-Testing-05-05

How Do You Automate Big Data Testing? Everything To Know

Big Data has passed the tipping point. It’s no longer a fringe interest being practiced by data scientists. The Big Data industry is currently on track to be worth $77 billion by 2023....
Testing-Type-2-Slowly-Changing-Dimensions-06

Testing Type 2 Slowly Changing Dimensions using ETL Validator

Type 2 Slowly Changing Dimensions are used in the Data Warehouses for tracking changes to the data by preserving historical values. This is achieved by creating a new record in the dimension whenever a value in the set of key columns is modified and maintaining start and end date for...
Connecting-to-Mongo-DB-using-Apache-Drill-in-ETL-

Connecting to Mongo DB using Apache Drill in ETL Validator

Over the last few years, we have been working with a number of customers across various industries such as Life Sciences, Financial Services, Higher Education etc. While the problems related to data testing are similar across industries and JSON and flat files are very common,...

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