ProjectPro

JUNE 6, 2025

FAQs on Data Science Roles Data Science Roles - The Growing Demand Every industry from retail, FMCG, finance, healthcare , media and entertainment to transportation leverages data science for business growth. Technical knowledge of relational database systems Knowledge of data management strategies.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Load - Engineers can load data to the desired location, often a relational database management system (RDBMS), a data warehouse, or Hadoop, once it becomes meaningful. A data warehouse is a relational database that has been technologically enhanced for accessing, storing, and querying massive amounts of data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Comparison Of AWS Aurora With Other Databases Let us compare AWS Aurora with other databases, such as Amazon RDS, DynamoDB, etc. Amazon Aurora Vs. RDS AWS Aurora and RDS (Relational Database Service) are both cloud-based database services offered by Amazon Web Services.

Database 40

Database Technology Cloud PostgreSQL 40

Towards Data Science

JANUARY 16, 2024

Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’. Databases were overwhelmed with transactional and analytical workloads. Result: Hadoop & NoSQL frameworks emerged. Result: Data warehouse was born.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Big data technologies can be categorized into four broad categories: batch processing, streaming, NoSQL databases, and data warehouses.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

You can also access data through non-relational databases such as Apache Cassandra, Apache HBase , Apache Hive, and others like the Hadoop Distributed File System. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. CMAK is developed to help the Kafka community.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data migration from legacy systems to the cloud is a major use case in organizations that have been into relational databases. It is also very easy to test and troubleshoot with Spark at each step.

Hadoop 40

Hadoop Project Big Data Scala 40

Data Engineering Podcast

APRIL 22, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Database 100

Database Cloud NoSQL Scala 100

AltexSoft

MAY 14, 2021

This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. This data isn’t just about structured data that resides within relational databases as rows and columns. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

Use cases are in-memory caches and open-source databases. They are used ideally for media transcoding, gaming servers, ad-server engines. They get used in NoSQL databases like Redis, MongoDB , data warehousing. It backs up storage in a routine fashion without the hassle of Database administrators interfering.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database Management NoSQL Relational Database 52

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Dataset: Simulated Apple Health Data Skills Developed: Health data preprocessing and analysis Insight extraction using Amazon Redshift Visualizing activity trends with QuickSight 9) Build a Reddit Data Engineering Pipeline Extracting data from social media platforms has become essential for data analysis and decision-making.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. This layer should support both SQL and NoSQL queries. It has to be built to support queries that can work with real-time, interactive and batch-formatted data.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Data Ingestion 52

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

It comes from numerous sources ranging from surveys, social media platforms, e-commerce websites, browsing searches, etc. Facebook It is a social media platform created originally by Mark Zuckerberg for college students in 2004. NoSQL is a distributed data storage that is becoming increasingly popular.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 19, 2024

It also keeps backups, media files, log data, and static website content. Amazon RDS (Relational Database Service) Another famous AWS web application is the Amazon RDS, a relational database service managed and simple to install, operate, and scale databases on the cloud.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

MAY 31, 2023

It is also one of the most important database projects for students. Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. Top Database Project Ideas Using PostgreSQL PostgreSQL is an open-source relational database management system.

Database 52

Database Coding MongoDB PostgreSQL 52

ProjectPro

JUNE 6, 2025

Allows integration with other systems - Python is beneficial for integrating multiple scripts and other systems, including various databases (such as SQL and NoSQL databases), data formats (such as JSON, Parquet, etc.), Instead, they can simply import a library. and web services.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. billion in 2022 to $154.6 billion by 2030, at a CAGR of 11.8%. How is SQL Being Utilized?

Database 52

Database SQL Process NoSQL 52

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. Since MongoDB does not store or retrieve data in the form of columns, it is referred to as a NoSQL (Not Just SQL) database. Due to its NoSQL database, the data is kept as a collection and documents.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Striim

SEPTEMBER 11, 2024

Data Warehouses: These are optimized for storing structured data, often organized in relational databases. It typically includes large data repositories designed to handle varying types of data efficiently. They support complex querying and analytical processing, making them ideal for business intelligence and reporting.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

OCTOBER 28, 2015

Most of the business domains have different data types like marketing genes in healthcare, audio and video systems, telecom CDR, and social media. The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

NOVEMBER 17, 2023

Database Amazon Relational Database Service (RDS) Amazon Relational Database Service (RDS) is easy to establish and run on a relational database in the cloud. Amazon RDS allows access to several acquainted database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server.

AWS 52

AWS Amazon Web Services PostgreSQL MySQL 52

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. To join data together from non-relational databases and other unstructured sources, TIBCO has the built-in transformation engine doing all the jobs. Identify your consumers.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

NOVEMBER 16, 2023

Relational Database Service (RDS): As a component of the relational database, RDS (Relational Database Service) enables the storing of data objects. It makes setting up, running, and scaling well-known relational databases on the cloud simple. It is a technique for cloud database caching.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

AltexSoft

NOVEMBER 10, 2021

A data warehouse (DW) is a centralized repository for data accumulated from an array of corporate sources like CRMs, relational databases , flat files, etc. The data in this case is checked against the pre-defined schema (internal database format) when being uploaded, which is known as the schema-on-write approach.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. External or third-party data sources, on the other hand, deal with outside information, which comes from partners, competitors, social media, general market studies, databases with publicly available datasets , etc.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JANUARY 2, 2024

SQL Born in the early 1970s at IBM, SQL, or Structured Query Language, was designed to manage and retrieve data stored in relational databases. Whether you're booking a flight, purchasing online, or liking a social media post, there's SQL working behind the scenes, managing vast realms of data. Salary: Approx.

Programming Language 52

Programming Language Programming Java NoSQL 52

Edureka

OCTOBER 8, 2024

A Full Stack Developer will deal with: SQL Databases: These are more the traditional relational databases. NoSQL Databases: Some developers prefer handling data in a more flexible manner without strict schema enforcement, using NoSQL databases like MongoDB. Popular choices are MySQL or PostgreSQL.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

Knowledge Hut

DECEMBER 29, 2023

NoSQL databases are often implemented as a component of data pipelines. Data engineers may choose from a variety of career paths, including those of Database Developer, Data Engineer, etc. By keeping all of the data linked together, the database management system also makes room for fresh updates.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. 3D Rendering and Media Processing- High-performance computing is crucial for rendering graphics and processing media files.

AWS 52

AWS NoSQL Deep Learning Machine Learning 52

Knowledge Hut

MARCH 19, 2024

Relational Database Service (RDS) Use Cases Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

APRIL 24, 2024

You can also consider the following—NET-related profiles on social media, especially Twitter. SQL, Oracle, and NoSQL are some tools that assist in that. The fundamental approach for this could be subscribing to newsletters by sites and companies like CodeProject. Losing essential reports can be problematic.

NoSQL 59

NoSQL Google Cloud Cloud AWS 59

Knowledge Hut

JULY 24, 2023

It allows changes to be made at various levels of a database system without causing disruptions or requiring extensive modifications to the applications that rely on the data. Data Independence in DBMS Example consider a database system that stores data in a file system at start. What is Data Independence of DBMS?

Database Design 52

Database Design Relational Database Metadata Database 52