5 HBase Vs. RDBMS Top Functional Differences

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Here're the differences between RDBMS and HBase. HBase in the Big data context has a lot of benefits over RDBMS. The listed differences below make it understandable why HBASE is popular in Hadoop (or Bigdata) platform.  5 HBase Vs. RDBMS Top Functional Differences Here're the differences unlock now. Random Accessing HBase handles a large amount of data that is store in a distributed manner in the column-oriented format while RDBMS is systematic storage of a database that cannot support a random manner for accessing the database. Database Rules RDBMS strictly follows Codd's 12 rules with fixed schemas and row-oriented manner of database and also follows ACID properties. HBase follows BASE properties and implements complex queries. Secondary indexes, complex inner and outer joins, count, sum, sort, group, and data of page and table can easily be accessible by RDBMS. Storage From small to medium storage application there is the use of RDBMS that provides the solution with MyS

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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