Asked by: Bebe Enneking
technology and computing data storage and warehousing

What is the role of database architect?

Last Updated: 20th June, 2020

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Data Architects build and maintain a company's database by identifying structural and installation solutions. They work with database administrators and analysts to secure easy access to company data. Duties include creating database solutions, evaluating requirements, and preparing design reports.

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Regarding this, what does a database architect do?

Data architects build build complex computer database systems for companies, either for the general public or for individual companies. They work with a team that looks at the needs of the database, the data that is available, and creates a blueprint for creating, testing and maintaining that database.

what is the difference between a solutions architect and a data architect? Solutions Architects. Both of these professionals work with an organization's technology, but data architects focus on how information moves across the system from one application to another. Solutions architects, however, look at the overall technological environment of the company.

Also to know is, what skills do you need to be a data architect?

Skills needed to become a Data Architect

  • Applied math and statistics.
  • Data visualization and data migration.
  • RDMSs (relational database management systems) or foundational database skills.
  • Database management system software, especially Microsoft SQL Server.
  • Databases such as NoSQL and cloud computing.

What is a data warehouse architect?

A data warehouse architect is responsible for designing data warehouse solutions and working with conventional data warehouse technologies to come up with plans that best support a business or organization.

Related Question Answers

Ilduara Alcorta

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How do I become a Data Architect?

To become a data architect, you should start with a bachelor's degree in computer science, computer engineering or a related field. Coursework should include coverage of data management, programming, big data developments, systems analysis and technology architectures.

Noara Rustamov

Professional

What is the difference between data modeler and data architect?

“A data modeler might be great at modeling a specific system or a specific business case. But a data architect has to look more broadly.” Data Modeling typically focuses on the design of a specific database at the physical level, or a particular business area at the logical or conceptual level.

Nouriddin Ladyzhnikov

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How long does it take to become a Data Architect?

To renew CDMP certification, candidates are required to complete at least 120 hours of continuing education every three years. Earn a bachelor's degree, gain some work experience, and get certified are the steps required to make the most of a career as a data architect.

Munir Labian

Explainer

Where do database architects work?

The largest number of database architects work for computer systems design and related services firms, such as Internet service providers and data-processing firms.

Bharata Portaz

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What are data modeling tools?

Top 6 Data Modeling Tools
  • ER/Studio. ER/Studio is an intuitive data modelling tool that supports single and multi-platform environments, with native integration for big data platforms such as – MongoDB and Hadoop Hive.
  • Sparx Enterprise Architect.
  • Oracle SQL Developer Data Modeler.
  • CA ERwin.
  • IBM - InfoSphere Data Architect.
  • About us.

Celio Kleyzor

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How can I become a Data Engineer?

Steps to Become a Data Engineer
  1. Earn a bachelor's degree and begin working on projects.
  2. Fine tune your analysis, computer engineering and big data skills.
  3. Get your first entry-level engineering job.
  4. Consider pursuing additional professional engineering or big data certifications.

Candyce Kichouhi

Pundit

What is a data solution architect?

Big data solutions architects are trained to describe the structure and behaviour of a big data solution and how that big data solution can be delivered using big data technology such as Hadoop. The big data solutions architect is responsible for managing the full life-cycle of a Hadoop solution.

Hoda Brucklacher

Pundit

What do data scientists do?

“More generally, a data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. She spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean.

Fattoum Garcia Fogeda

Pundit

What is ETL architecture?

ETL ARCHITECTURE. ETL stands for Extract, Transform, and Load. In today's data warehousing world, this term is extended to E-MPAC-TL or Extract, Monitor, Profile, Analyze, Cleanse, Transform, and Load. In other words, ETL focus on Data Quality and MetaData.

Sadie Sculsinger

Pundit

Why do we need data architecture?

Data architecture is important because companies need sound strategies on what to do with their data. Organizations also need help picking platforms for managing their data. Most developers could use both guardrails and mentoring when it comes to working with complex data problems.

Delphine Tecedeiro

Pundit

What education do you need to be a architect?

Just to recap, architects must have a professional bachelor's or master's degree in architecture from a program that has been accredited by the National Architectural Accrediting Board, and a state license. The median annual salary for an architect in May 2015 was $74,110.

Gori Zumbruch

Teacher

What is data architecture strategy?

Definitions: Data Architecture & Data Strategy
Data Architecture defines how data is acquired, stored, processed, distributed, and consumed. On the other hand, the term Data Strategy implies the overall vision and underlying framework of an organization's data-centric capabilities and activities.

Gliceria Dechantsreiter

Teacher

What is big data architecture?

A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional database systems. Big data solutions typically involve one or more of the following types of workload: Interactive exploration of big data.

Valerijs Rodenbucher

Teacher

What do you mean by big data?

Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.

Mokhtaria Fontanillo

Teacher

What is enterprise data architecture?

Enterprise data architecture (EDA) refers to a collection of master blueprints designed to align IT programs and information assets with business strategy. EDA is used to guide integration, quality enhancement and successful data delivery.

Fernande Ruhstorfer

Reviewer

How much do database architects make?

Database architects earn an average yearly salary of $90,052. Wages typically start from $47,235 and go up to $171,678.

Teres Serena

Reviewer

How do I become a data warehouse architect?

To pursue a career as a data warehouse architect, you need a bachelor's degree in computer science, information technology (IT), or computer engineering, along with several years of experience working with data management or software architecture.

Khrystyna Peña

Reviewer

What is next after solution architect?

What is the next role available after "solution architect"? A product manager would be the one who would be involved in getting the product to the market and solution architect would be involved in implementing the product should a client decide to implement it. There is some sort of complementary skills in both roles.

Aristarco Bernus

Reviewer

Is Solution Architect equivalent to manager?

Project managers are directly involved with all parties on the management of IT projects to find technology solutions for a company or institution. Solution architects are those experts who are brought in to work with managers to apply the ascribed plans to solve a large IT issue.