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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

Information Architect Key Responsibilities

Gartner defines "enterprise information architecture" as that part of the enterprise architecture process.

It is a set of requirements, principles and models — the current state, future state, and guidance necessary to flexibly share and exchange information assets to achieve effective enterprise change. 

Enterprise information Architect also called EIA.

Information Architecture 

The transition from information that is isolated within applications to a flexible, comprehensive enterprise information architecture will require changes in technology, process, organizational structure and orientation. 

In particular, EA practitioners comfortable with technical architecture must now devote time to understanding this emerging discipline. 

Gartner projects that, EA teams will be forced by the business to spend as much time on information architecture as they currently spend on technical architecture. 

Changes will also impact a range of disciplines across the organization and will require coordination to drive efficiencies and achieve objectives. 

What is the role of architect

To participate in the organization's desire to maximize the value and effectiveness of information assets include: 

#1: Architects (including solution architects) Application designers Data modelers Database administrators Business intelligence specialists Master data management specialists.

#2: Data quality specialists Data integration specialists Metadata management specialists Business analysts Content management specialists Professionals in security, compliance, privacy and related disciplines 

#3: Some of these roles will be done concurrently, depending on the size of the teams, the rules of engagement (that is, "who does what at which point in the activity cycle"), the depth of domain knowledge, and resource availability. 

Understanding the different roles impacted by EIA is a critical first step. 

Role of Enterprise Architecture The role of enterprise architects is to act as facilitator, planner, change agent, champion and coach during these activities (but never dictator).

Summary

Their job is to advocate the adoption and assurance of all enterprise architecture deliverable. 

Enterprise architects should be well equipped to handle this challenge, because of their strong relationships with the business and their strategic planning skills. 

However, some will need to retool their skills. Those who step in, and step up, to develop an EIA will help their organizations deliver new enterprise capabilities

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