AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

DareData

JANUARY 30, 2023

Here are a couple of resources to learn more: Data Talks Club Data Ingestion Week Coder2J Airflow Tutorial Data Storage In the context of data engineering, data storage refers to the systems and technologies that are used to store and manage data within an organization.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Edureka

FEBRUARY 12, 2025

Databases Facilitates storage and retrieval of structured data. Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Information Retrieval Description : Build systems to retrieve and summarize data from large documents.

IT 52

IT Database Google Cloud Coding 52

Knowledge Hut

DECEMBER 26, 2023

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Striim

OCTOBER 11, 2024

Striim supported American Airlines by implementing a comprehensive data pipeline solution to modernize and accelerate operations. To achieve this, the TechOps team implemented a real-time data hub using MongoDB, Striim, Azure, and Databricks to maintain seamless, large-scale operations.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

ProjectPro

OCTOBER 28, 2015

Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS. Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

MARCH 7, 2024

Spark - Spark is a powerful open-source data processing tool that helps users to easily and efficiently process data. MongoDB - MongoDB is a highly effective document-oriented database system. It includes an index-based search feature that speeds up and simplifies data retrieval.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 1- Automating the Lakehouse's data intake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

NOVEMBER 14, 2015

Such unstructured data has been easily handled by Apache Hadoop and with such mining of reviews now the airline industry targets the right area and improves on the feedback given. The use of Facebook or something similar is at every home around the globe, thus producing tons of data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

FEBRUARY 12, 2025

Databases Facilitates storage and retrieval of structured data. Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Information Retrieval Description : Build systems to retrieve and summarize data from large documents.

IT 52

IT Database Google Cloud Coding 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

JULY 29, 2022

MongoDB: an NoSQL database with additional features. MongoDB is the leading NoSQL platform created to enhance relational database management systems with the ability to accept data in any form. In September 2021 Snowflake announced the public preview of the unstructured data management functionality.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59