Deep Learning, which is currently a popular topic, has firmly established its roots across a wide range of sectors that are investing in fields such as Artificial Intelligence, Big Data, and Analytics. In this blog, we discuss deep learning. Read on to find out more.
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Business Automation, also known as “business process automation” (BPA), systematically replaces error-prone, manual operations with just-in-time analytics, open collaboration, and intelligent rules-driven automation. This is frequently accomplished through the use of solutions such as business automation software.
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Companies must be able to exchange and analyze data as soon as it becomes available, as business is moving faster than ever before. Historically, data processing has been largely completed through EDI (Electronic Data Interchange) batch integration, which is not instantaneous. However, a newer, real-time approach to communicating with trading partners and customers has recently gained traction. This is known as real-time integration.
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The role and responsibilities of a data scientist can vary from organization to organization; therefore, we can categorize them as follows.
The following are the responsibilities of a data scientist in any organization:
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Importance of Data Science
Data is a valuable asset for many industries because it allows them to make more informed business decisions. Data science is capable of transforming raw data into meaningful insights.
In the design and development of databases, data modelling is critical. Within an organization, it is the process of developing a conceptual representation of the data and its relationships.
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We discuss many important concepts in the field of Data Engineering. In this blog, read about interesting topics such as Data Warehouse, Data Lake, CDC, ETL, Big Data processing, real-time data, data architecture, and Cloud Computing.
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Data Science is defined as the entire process of extracting actionable insights from raw data, which includes concepts such as statistical analysis, data analysis, machine learning algorithms, data modelling, data preprocessing, and so on.
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In today’s times, most businesses and enterprises are migrating to the cloud. If you have decided to integrate a cloud environment into your business or enterprise, then you are at the right place. You need to know all about a service level agreement (SLA). An SLA or service level agreement will have all the guidelines and details on the responsibilities of your enterprise and the cloud provider. In this blog, we discuss the five factors you must look for in a cloud service level agreement (SLA).
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Internet of Things has emerged as a path-breaking technology across the globe. It has gained enormous popularity within a very short period. And the integration of Artificial Intelligence and Machine Learning with IoT has enhanced the automation of devices. Because of this reason, the application and use of IoT have expanded and now IoT can be seen across various sectors. In this blog, we discuss the future scope of IoT.
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