Tag: Data Science
Data Engineering and Analytics
Financial Data Warehouse Modernization With AWS Redshift
For over a decade, the financial services sector has made significant investments in developing data warehouses and business intelligence systems. No doubt, a data warehouse is an invaluable asset for financial companies, helping them leverage historical and current data to make better business decisions. Although stakeholders are leveraging undeniable value…
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Data Engineering and Analytics
Importance of ETL Process in Digital Transformation
An ETL (Extract, Transform, Load) process is an automated way to move data between different databases. This process allows for the extraction of data from one database into another, transforming the data, and then loading it into the destination database. In order to maintain quality control, organizations must perform regular…
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Data Engineering and Analytics
What is Data Engineering?
Data engineering is a set of processes of creating interfaces and mechanisms for how data should be created, captured, copied, stored, and consumed by data consumers. Dedicated specialists such as data engineers and data analysts handle the organization’s data and data infrastructure so that data remains available and usable by…
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Data Engineering and Analytics
Top 10 Industries That Benefit Most From Data Analytics
Businesses that embrace data and analytics tools transform their business models faster, encounter new opportunities efficiently for customers, products, revenue streams, and services. Data analytics help companies in all aspects of the business, from sourcing materials to forecasting demand to accounting, human resource activities to all sides of marketing, and…
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Cloud Security and DevSecOps
Data Security: How To Keep Data Secure In The Cloud?
Data security is the amalgamation of best practices and the technology of protecting valuable and sensitive company and customer data, for instance, personal or financial information. Every business now collects, stores, and manages valuable data in the cloud. Hackers look for sensitive information in the cloud-based applications such as the…
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Data Engineering and Analytics
List of Top 7 Data Warehouse Best Practices
The success of a project such as building a data warehouse development depends on your understanding of the business, its IT needs and pain points. Comprehending all these aspects help give businesses the structure it needs to be successful in data warehousing efforts. If you are going to get into…
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