Rockset

OCTOBER 4, 2022

Flink, Kafka and MySQL. As real-time analytics databases, Rockset and ClickHouse are built for low-latency analytics on large data sets. They possess distributed architectures that allow for scalability to handle performance or data volume requirements.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Rockset

OCTOBER 20, 2021

Let’s walk through an example workflow for setting up real-time streaming ELT using dbt + Rockset: Write-Time Data Transformations Using Rollups and Field Mappings Rockset can easily extract and load semi-structured data from multiple sources in real-time. DynamoDB or MongoDB), and relational databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 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. Easily scales up to a large amount of data when it is distributed in small chunks.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. What is the difference between SQL and MySQL?

Big Data 52

Big Data Hadoop Relational Database AWS 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

AltexSoft

OCTOBER 8, 2021

It is possible to move datasets with incremental loading (when only new or updated pieces of information are loaded) and bulk loading (lots of data is loaded into a target source within a short period of time). MongoDB), SQL databases (e.g., MySQL), file stores (e.g., Hadoop), cloud data warehouses (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

NOVEMBER 14, 2015

Tools/Tech stack used: The tools and technologies used for such page ranking using Apache Hadoop are Linux OS, MySQL, and MapReduce. Objective and Summary of the project: With social media sites gaining popularity, it has become quite crucial to handle the security and pattern of various data types of the application.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. You will set up MySQL for table creation and migrate data from RDBMS to Hive warehouse to arrive at the solution. MongoDB stores the processed and aggregated results.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

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 59

Unstructured Data NoSQL Hadoop Data Lake 59