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Data Science 101

What Is Neuromorphic Computing Engineering, How Does It Work, Advantages, Use Cases, Available Systems, Why A Memristor Is Important, Spiking Neural Networks (Snn) And Ai
Machine LearningArtificial IntelligenceData Science 101FeaturedTechnology & IT

Neuromorphic computing is a growing computer engineering approach that models and develops computing devices inspired by the human brain. Neuromorphic engineering focuses on using biology-inspired algorithms to design semiconductor chips that will behave similarly to a brain neuron and then work in this new architecture. What is neuromorphic computing? Neuromorphic

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What Is A Data Mart, Data Lake Vs Data Warehouse Vs Data Mart Comparison, Key Advantages, Disadvantages, Types, Structure And Why We Use A Data Mart...
Data Science 101Big DataData ScienceFeatured

Data marts are one critical tool in successfully turning data into insights in a market dominated by big data and analytics. A data mart is a type of access layer in a data warehouse that is used to give users data. Data marts are often viewed as tiny pieces of

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We Explain What Is Data Modeling, What Is A Data Model, Types Of Data Models, Data Modeling Techniques, Process, Examples In Real-Life And The 3 Best Tools.
Big DataData ScienceData Science 101Featured

What is data modeling is a question of the day. Databases help run applications and provide almost any information a company might require. But what makes a database valuable and practical? How can you be sure you’re building a database that’ll fulfill all of your requirements? Consider data modeling as

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What Is Metadata, Definition And Types Of Metadata, Examples, Why It Is Important, And What Is Metadata Management...
Big DataData ScienceData Science 101Featured

Metadata, in its most basic sense, is simply data about data. It’s a method for determining what your data means or represents. It generally includes a description of the data and key background information. The definition of metadata is “a set of data that describes and gives information about other

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What Is A Data Dictionary, Definition, Why Is It Important, What Are Data Standards, The Key Elements And Types, Examples, Functions And Database Management
Data Science 101Big DataData ScienceFeatured

Let’s start by answering the first thing that comes to mind: What is a data dictionary? A data dictionary, also known as a data definition matrix, contains comprehensive data about the company’s data, such as the definition of data elements, their meanings, and allowable values. The dictionary, in essence, is

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Everything You Need To Know About Data Retention Policy
Data ScienceData Science 101Featured

Are you interested in creating or modifying a data retention policy? A company’s data retention policy describes how it saves data for compliance or regulatory reasons and destroys information once it is no longer required. A basic data retention policy should describe the formatting and storage system or devices for

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What Is Enterprise Governance Risk And Compliance (Egrc), Difference Between Egrc And Grc, The Correlation Between Governance, Risk, And Compliance
Data Science 101Featured

Enterprise governance, risk, and compliance (EGRC) is a strategy for governing an organization’s overall governance, enterprise risk management, and regulatory compliance. Governance, risk, and compliance (GRC) is both a more strategic and, in some respects, more tactical approach to integrating IT with company goals. Consider it a method for aligning

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What Is A Finite State Machine (Fsm) - Its Origins And Real-World Examples
Data ScienceData Science 101Featured

A finite state machine (FSM), also known as finite state automation, is a computational model that can be implemented in hardware or software to model and simulate sequential logic. This computing model is based on a hypothetical machine with one or more states. Only one single state of this machine

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Is Dataops More Than Devops For Data?
Data ScienceData Science 101FeaturedTopicsUnderstanding Big Data

DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing. Both methods argue that collaboration is the primary approach for application development and IT operations teams, but they target different operation

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Parallel Computing In Data Mining And Analysis
Data Science 101Data ScienceFeaturedTopics

Parallel Computing, also referred to as Parallel Processing, is a computing architecture that uses several processors to handle separate parts of an overall task. The architecture divides complex problems into small computations and distributes the workload between multiple processors working simultaneously. Parallel computing principles are employed in most supercomputers to

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