U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JANUARY 3, 2024

And if you have a deep interest in learning about the relational model in DBMS and making a career out of it, you can go for the best MongoDB online course. Finally, the relational model offers security features that protect data from unauthorized access and modification.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Knowledge Hut

MARCH 15, 2024

RDBMS vs NoSQL: Benefits RDBMS: Data Integrity: Enforces relational constraints, ensuring consistency. Structured Data: Ideal for complex relationships between entities. NoSQL: Scalability: Easily scales horizontally to handle large volumes of data. NoSQL: Examples: MongoDB, Cassandra, Redis. How are They Similar?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

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

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

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Gen 2 Azure Data Lake Storage . Data lakes can also be organized and queried using other technologies, such as . Atlas Data Lake powered by MongoDB. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 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. Examples: Calculators for arithmetic operations. Python code executors for custom computations. Search APIs for querying external knowledge.

IT 52

IT Database Google Cloud Coding 52

ProjectPro

MARCH 19, 2015

Collections The foremost criterion for choosing a database is the nature of data that your enterprise is planning to control and leverage. HBase is used by Twitter for generating data, storing, logging, and monitoring data around people search. HBase is used by the discovery engine Stumble upon for data analytics and storage.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

APRIL 25, 2023

Key features: Interactive data exploration Real-time reporting Easy data modeling 3. MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

DareData

JANUARY 30, 2023

Examples of NoSQL databases include MongoDB or Cassandra. Data lakes: These are large-scale data storage systems that are designed to store and process large amounts of raw, unstructured data. Examples of technologies able to aggregate data in data lake format include Amazon S3 or Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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

Rockset

JULY 9, 2019

One of the main hindrances to getting value from our data is that we have to get data into a form that’s ready for analysis. Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. It sounds simple, but it rarely is.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

Knowledge Hut

MARCH 27, 2024

Use Cases Ideal for applications requiring structured storage and retrieval of data, such as in business or web development. Essential in programming for tasks like sorting, searching, and organizing data within algorithms. Supports complex query relationships and ensures data integrity.

Database 52

Database Relational Database Algorithm Data Storage 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

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

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., Sqoop does not support importing of data from non-RDBMS such as MongoDB and Cassandra.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

DECEMBER 21, 2023

Different databases have different patterns of data storage. For instance, MongoDB stores data in a semi-structured pattern, Cassandra stores data in the form of columns, and Redis stores data as key-value pairs. Some databases like MongoDB have weak backup ability. It is also horizontally scalable.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Rockset

AUGUST 2, 2023

All of these assessments go back to the AI insights initiative that led Windward to re-examine its data stack. The steps Windward takes to create proprietary data and AI insights As Windward operated in a batch-based data stack, they stored raw data in S3.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 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

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

Rockset

SEPTEMBER 20, 2022

Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others. Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others.

PostgreSQL 52

PostgreSQL MongoDB SQL Database 52

Edureka

AUGUST 27, 2024

It helps businesses by making sure that their data is always available and can handle lots of users from different locations. Multi-API Support: Cosmos DB works with different APIs, which are like special tools for interacting with data. You can use tools like SQL or MongoDB depending on what you need. Is Cosmos DB SQL or NoSQL?

NoSQL 40

NoSQL MongoDB SQL Database 40

Rockset

MAY 27, 2021

You want to be able to do, for example, standard SQL queries, including JOINs, on whatever your data is, wherever it's coming from. It could be nested JSON coming from MongoDB. It could be Parquet coming from S3 , or structured data coming from other places. It could be Avro coming from Kafka.

MongoDB 40

MongoDB Kafka Cloud SQL 40

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. Snowflake: an evolving ecosystem for all types of data. Here are some options to consider.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Rockset

OCTOBER 4, 2022

This means users need to configure their streams to batch data ahead of loading into ClickHouse. Rockset has native connectors that ingest event streams from Kafka and Kinesis and CDC streams from databases like MongoDB, DynamoDB, Postgres and MySQL.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Netflix Tech

OCTOBER 31, 2018

The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB. Specifically, structured data that is modeled around the notion of a media timeline, with additional spatial properties. called “ N etflix M edia D ata B ase” (NMDB) that is used to address them.

Media 54

Media Metadata Data MongoDB 54

Edureka

JANUARY 18, 2024

Introduction of R as an optional language in data science, highlighting its strengths in statistics and visualization. Data Manipulation Examine the most important data manipulation libraries like explore Pandas for structured data manipulation and Numpy for numerical operations in Python.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

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

Knowledge Hut

MAY 4, 2023

A Data Engineer is a professional who deals with data-related tasks such as creating, testing, and maintaining an organization's data infrastructure. Data engineers are professionals who play a consistent role in building data warehouses to store data and data pipelines to feed data into those structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 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. For example – MongoDB.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Edureka

FEBRUARY 8, 2024

Instances like I3 and I4 offer a balance of compute power and storage performance, making them ideal for workloads that demand rapid and consistent access to large volumes of data. These instances contribute to reducing data retrieval times and improving overall system responsiveness.

AWS 52

AWS NoSQL Deep Learning Machine Learning 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

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., Hadoop), cloud data warehouses (e.g., Pre-built connectors. MySQL), file stores (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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. Examples: Calculators for arithmetic operations. Python code executors for custom computations. Search APIs for querying external knowledge.

IT 52

IT Database Google Cloud Coding 52

Rockset

DECEMBER 22, 2020

By using Rockset, we may have to Tokenize our search fields on ingestion however we make up for it in firstly, the simplicity of processing this data on ingestion as well as easier querying, joining, and aggregating data. Read more about how Rockset compares to Elasticsearch and explore how to migrate to Rockset.

SQL 40

SQL Data MongoDB Building 40

ProjectPro

NOVEMBER 14, 2015

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. 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

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. The real-time data will be processed using Spark structured streaming API and analyzed using Spark MLib to get the sentiment of every tweet. Collection happens in the Kafka topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52