Tag: Big Data
Data Engineering and Analytics
How Artificial Intelligence Is Transforming Healthcare
Leonard D’Avolio, Ph.D., founder and CEO of Cyft – a company helping organizations use technology to adjust their workflow and system to reduce cost and improve outcomes – sees artificial intelligence not as a solution but as a capability. He also said, “change in healthcare is hard, but change is…
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Data Engineering and Analytics
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
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
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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Market Insights
Top 5 Cloud Technologies And Tech Trends In 2022
Industry-specific tech solutions are helping organizations to enable modern processes, jump-start innovations while modifying the operations, and automating the tasks digitally. Although the past two years of digital growth have been thrilling periods for enterprises driven by COVID-19 and remote work culture everywhere. Many CEOs accelerate their digital journey ahead…
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Market Insights
Industry trends in Cloud Migration and Adoption Strategies
Companies aim to embrace the cloud more and integrate it entirely, but they are not clear about what cloud-migration opportunities abound. However, new developments in cloud migration have sizable rewards. Now more than ever, organizations are trying their best to adopt cloud services and consequently accelerating their digital transformation journey.…
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Cloud Enablement
SQL vs. NoSQL Databases: Key Differences And Use-Cases
Companies whose business operations rely on data-intensive applications must spend enough time determining how to best implement and maintain them. Among many biggest decisions is choosing the best platform for storing and delivering the application data. Relational databases or SQL databases have a long history of serving as primary data…
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Cloud Enablement
How To Plan Cloud Backup Only Disaster Recovery Strategy?
Cloud backup strategy or a backup plan is crucial for every small and large-scale organization. As a part of a strategy, cloud backup refers to the process of sending a copy of a physical or virtual file or database to a secondary off-site location for preservation. The secondary storage systems…
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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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