What is a data reference architecture?

What is a data reference architecture?

A reference architecture describes a family of similar systems and standardizes nomenclature, defines key solution elements and relationships among them, collects relevant solution patterns, and provides a framework to classify and compare.

How do you build a data lake architecture?

How to Build a Robust Data Lake Architecture

  1. Key Attributes of a Data Lake.
  2. Data Lake Architecture: Key Components.
  3. 1) Identify and Define the Organization’s Data Goal.
  4. 2) Implement Modern Data Architecture.
  5. 3) Develop Data Governance, Privacy, and Security.
  6. 4) Leverage Automation and AI.
  7. 5) Integrate DevOps.

What is data lake architecture?

A data lake stores large volumes of structured, semi-structured, and unstructured data in its native format. Data lake architecture has evolved in recent years to better meet the demands of increasingly data-driven enterprises as data volumes continue to rise.

How do you build a data lake step by step?

He went on to explain that there are five typical steps in building a data lake:

  1. Set up storage.
  2. Move data.
  3. Cleanse, prep, and catalog data.
  4. Configure and enforce security and compliance policies.
  5. Make data available for analytics.

What is data architecture diagram?

Data warehouse architecture diagram is designed for processing and computing the data when it is in the data warehouse. It is the place where the data is retrieved from the previous position, transformed to the intelligence the business wants and then transformed into the data marts from where it would be shared.

What format of data can be stored in data lake?

Data Lakes allow you to store relational data like operational databases and data from line of business applications, and non-relational data like mobile apps, IoT devices, and social media. They also give you the ability to understand what data is in the lake through crawling, cataloging, and indexing of data.

How would you design a data lake?

Start small with a focused objective, and then learn and grow. Ensure that the data lake can deliver business-ready data. Design from the start for data protection and data security. Build a data topology in support of the specialized needs of the users, devices, and APIs instead of hardcoding to technology.

What are the components of a data lake?

Five key components of a data lake architecture

  • Data ingestion. A highly scalable ingestion-layer system that extracts data from various sources, such as websites, mobile apps, social media, IoT devices, and existing Data Management systems, is required.
  • Data Storage.
  • Data Security.
  • Data Analytics.
  • Data Governance.

How do you design a data lake?

What is an example of a data lake?

Examples. Many companies use cloud storage services such as Google Cloud Storage and Amazon S3 or a distributed file system such as Apache Hadoop distributed file system (ADFS).

What does the data lake architecture template look like?

The Data Lake Architecture template consists of four slides, which are executed in a dark color scheme and have a large number of graphs and infographics. The slides in this template have all the tools you need to build a professional business presentation.

What is the data lake solution architecture on AWS?

Figure 1: Data lake solution architecture on AWS. The solution uses AWS CloudFormation to deploy the infrastructure components supporting this data lake reference implementation. At its core, this solution implements a data lake API, which leverages Amazon API Gateway to provide access to data lake microservices (AWS Lambda functions).

What is a data lake?

A data lake is a storage repository that holds a vast amount of raw data in its original format. The power of having a proper data lake architecture from Azure to AWS is speed to market, innovation and scale for every enterprise.

What is data lake API gateway?

At its core, this solution implements a data lake API, which leverages Amazon API Gateway to provide access to data lake microservices ( AWS Lambda functions).

Begin typing your search term above and press enter to search. Press ESC to cancel.

Back To Top