Khawaja Abdul Ahad    Did you know that businesses lose more than trillion a year due to inadequate data management, according to an IBM estimate from The need for effective data management methods has never been clearer as companies struggle with an ever growing volume of data from many sources. This...

Muhammad Usman Ghani Khan    Amazon Redshift is an online, petabyte scale Data Warehouse service. It is dedicated to enterprise use, collecting large amounts of data and extracting analysis and insights from it. Redshift helps organizations query large DBs in real time. Nonetheless, Redshift provides flexibility in performance...

Srujana Maddula    Data warehouses have transformed how companies store and manage data. By centralizing data into a single repository, overall data accessibility and quality improve a lot. A data warehouse is not a single tool but a combination of various processes and tools involved in organizing data in a...

Sarad Mohanan    If you are a data driven business, then you must know how crucial it is to extract meaningful insights from your data. That x ;s where Reverse ETL comes into play. I x ;m guessing you might know what ETL Extract, Transform, Load is. It is the process of bringing data into your warehouses....

Kamlesh    Today most organizations are of the opinion that public APIs should be tapped into and useful information extracted there from. The same, however triggers a sound ETL solution to handle the data correctly. This blog REST API ETL Tools will talk about the various tools that will help you fetch data...

Khawaja Abdul Ahad    Have you ever opened the billing section of a BigQuery account and got a shocking surprise You are not alone. BigQuery is a powerful tool, but this power does not come for free all the time. It can quickly deplete your budget if you do not practice good cost management. BigQuery is one of the

Kamlesh    In the data engineering industry, managing your data is critical for driving business. Data is gathered from various sources in all shapes and forms, and without the right set of tools, it is impossible to use this data for meaning analysis. xA ; If you work with a cloud environment, you must have...

Neha Sharma    Databricks is a popular and powerful unified analytics platform. It helps organizations streamline their data engineering, machine learning, and analytics tasks. As data grows and organizations understand the importance of data driven decision making, it becomes important to analyze and optimize...

Asimiyu Musa    The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. It tells us how well a dataset meets certain criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and...

Raju Mandal    Batch Processing is a commonly used data integration method to capture data changes in a database. It runs on a schedule to fetch either incremental or a full data extract. However, this method is inefficient when data latency causes significant performance strain on the source systems. A more...