Events, Metadata, Raw Data and Structured Data

Events

Metadata

Raw Data

Structured Data

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Data Lake

Data Lake Architecture IT Amazon Web Services

Mastering the Art of ETL on AWS for Data Management

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades. AWS Glue has a central metadata repository called the Glue catalog.

AWS

AWS Data Management ETL Tools Management

Join 16,000+

Insiders

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Webinars

How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

MORE WEBINARS

Trending Sources

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

FEBRUARY 14, 2022

When the business intelligence needs change, they can go query the raw data again. ELT: source Data Lake vs Data Warehouse Data lake stores raw data. The purpose of the data is not determined. The data is easily accessible and is easy to update. x+ and set minimum memory to 5GB.

Data Ingestion

Data Ingestion Data Engineering Data Engineer Engineering

Webinars

How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

MORE WEBINARS

How Windward Built Real-Time Logistics Tracking and AI Insights for the Maritime Industry

Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. This transition can support new use cases that require a faster way to analyze events that was not needed until now. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric

Database-centric PostgreSQL Transportation Insurance

Case Study: Standard Cognition Uses Rockset to Deliver Data APIs and Real-Time Metrics for Vision AI

Rockset

JANUARY 28, 2020

Aside from video data from each camera-equipped store, Standard deals with other data sets such as transactional data, store inventory data that arrive in different formats from different retailers, and metadata derived from the extensive video captured by their cameras.

Retail

Retail Google Cloud Raw Data Data Lake

Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering

Engineering Raw Data Data Science Scala

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection

Data Collection Machine Learning Unstructured Data Non-relational Database

Data Lake vs Data Warehouse - Working Together in the Cloud

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake

Data Lake Data Warehouse Cloud Hadoop

What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

SEPTEMBER 23, 2021

The result of experimentation supplies downstream applications with prepared data. A data hub serves as a gateway to dispense the required data. So the use of unstructured or semi-structured data is also available in a data hub, since a data lake can be a part of it.

Architecture

Architecture Data Lake Unstructured Data Data Warehouse

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

Airbyte – An open source platform that easily allows you to sync data from applications. Data streaming ingestion solutions include: Apache Kafka – Confluent is the vendor that supports Kafka, the open source event streaming platform to handle streaming analytics and data ingestion.

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. This big data project discusses IoT architecture with a sample use case.

Data Engineering

Data Engineering Data Engineer Coding Project

Snowflake Architecture and It's Fundamental Concepts

ProjectPro

JANUARY 31, 2022

Provides Powerful Computing Resources for Data Processing Before inputting data into advanced machine learning models and deep learning tools, data scientists require sufficient computing resources to analyze and prepare it. They just need to deliver their data and hand it over to Snowflake to manage.

Architecture

Architecture IT Data Warehouse Amazon Web Services

Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data

Unstructured Data NoSQL Hadoop Data Lake

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

MARCH 14, 2023

Moreover, over 20 percent of surveyed companies were found to be utilizing 1,000 or more data sources to provide data to analytics systems. These sources commonly include databases, SaaS products, and event streams. Databases store key information that powers a company’s product, such as user data and product data.

IT Data Warehouse Data Governance Data Lake

Data Engineering Digest

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Mastering the Art of ETL on AWS for Data Management

Webinars

Trending Sources

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Webinars

How Windward Built Real-Time Logistics Tracking and AI Insights for the Maritime Industry

Case Study: Standard Cognition Uses Rockset to Deliver Data APIs and Real-Time Metrics for Vision AI

Data Vault on Snowflake: Feature Engineering and Business Vault

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Data Lake vs Data Warehouse - Working Together in the Cloud

What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

20+ Data Engineering Projects for Beginners with Source Code

Snowflake Architecture and It's Fundamental Concepts

Top 100 Hadoop Interview Questions and Answers 2023

Unstructured Data: Examples, Tools, Techniques, and Best Practices

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Stay Connected