Category: Data Engineering and Analytics

Data Engineering and Analytics

ETL-Digital-Transformation

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

Data Engineering

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

Data Warehouse

Best Cloud Data Warehouse Vendors, Benefits & How To Choose One?

Business success in today’s time highly relies on streaming live data analytics that needs to be performed in near real-time. No company can just depend on historical data to stay competitive. In today’s hyper-connected world where people and machines generate streaming data in a wide variety, enterprises require far more…

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Data Engineering and Analytics

Benefit of Data 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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Data Engineering and Analytics

dvanced-Analytics-Amplify-Business-Processes

How Advanced Analytics Amplify Business Processes?

Every growing company taps into analytics to improve business processes by developing a better understanding of their market, audience, and internal performance and productivity. But analytics is a dynamic field. With growing computing ability, artificial intelligence, machine learning, and cloud computing technologies, business analytics has become more advanced. Some companies…

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Data Engineering and Analytics

Data warehouse

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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