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[amigoways]

Lambda architecture combines both and processing techniques.

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[miplconsulting]

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[hiremox]

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Meta Releases Code Generation Model Code Llama 70B, Nearing GPT-3.5 Performance

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[sbscglobal]

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[growthuper]

What is Data Layer ?

The term "data layer" generally refers to a conceptual or physical layer within a software architecture where data is managed, processed, and stored. It serves as an intermediary between the user interface and the backend systems, providing a structured way to handle data throughout an application or system.

Here are a few key aspects of a data layer:

Data Management: It encompasses how data is organized, stored, retrieved, and manipulated within an application or system. This could involve databases, data warehouses, or other storage solutions.

Abstraction: The data layer often abstracts the underlying complexity of data storage and retrieval from the rest of the application. This allows developers to work with data in a consistent and manageable way.

Integration: It facilitates integration with other systems or services. For example, a data layer might provide APIs or interfaces for other parts of the application to interact with the data.

Data Access Logic: Includes the logic and rules for accessing and modifying data. This might involve querying databases, performing validations, applying business rules, and ensuring data integrity.

Scalability and Performance: A well-designed data layer considers scalability and performance requirements. It may involve techniques like caching, indexing, or partitioning to optimize data access and storage.

Security: Ensures that data is stored securely and access controls are enforced. This might involve encryption, authentication mechanisms, and adherence to data protection regulations.

In summary, the data layer is a critical component of software architecture that manages data throughout its lifecycle within an application, ensuring reliability, efficiency, and security in handling data operations.

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[thedatachannel]

Purpose of 3 Schema: External, Conceptual and Internal Schema | Data Modelling Master Class| Topic 5

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[ahmedrezk20231997]

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Understand the ACID and BASE in Modern Data Engineering

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[ibstpvt]

Senior Salesforce Development Engineer Exp: 3 To 12Years Loc: Melville, NewYork Skill: Data Architecture, Sharing and Visibility, Platform Developer, Integration Architecture, Identity and Access, design and specification, coding, and testing

Job Description: • 3 to 5 year of development experience with SAP Business Objects • Working Knowledge and In-depth understanding of Business Objects Platform (4.x)   • Good understanding for SAP BICS connectivity and experience in creating OLAP Universes & WEBI reports using BEX queries and HANA Calculation Views. • Experience in mapping business requirements to functional and technical specs, and deliver BOBJ reports • Strong experience on Webi, BO launch pad, Dashboards, and visualization • Strong experience in design and development of Universes using IDT/UDT • Experience in consumption of multiple sources like BW4HANA, HANA and Oracle…etc. • Experience development of reports with multiple tabs, multiple queries on a single screen, list & crosstab reports, charts, hyperlinking, drill-down and drill-through • Good Knowledge of Data Warehouse & BI Concepts. Good knowledge on SQL • Knowledge on different reporting tools like AFO and Tableau • Good to have knowledge on CMC and security aspect (BO users/groups/folders… etc.) and promotion management • Good to have knowledge on SAP BW4HANA/HANA source objects like Bex Queries and Calculation views

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