Knowledge Hut

JANUARY 23, 2024

Proficiency with Linux, PHP, Apache, MySQL, Express.js, Node.js, AngularJS, and other technologies is crucial for backend development. Technical Toolkit: Utilize a technical toolkit that includes languages such as Java and demonstrate a profound understanding of relational databases. is called NPM. The Angular.js

MongoDB 98

MongoDB Programming Language Java MySQL 98

Knowledge Hut

JUNE 30, 2023

It brings with it a very comprehensive set of features for managing very large-scale databases, while maintaining very high performance, scalability, utmost security, and also advanced analytics capabilities. It is widely used in many of the web applications and also in smaller-scale database projects.

MySQL 52

MySQL Medical Relational Database Healthcare 52

DareData

JANUARY 30, 2023

Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Azure Data Factory: A cloud-based data integration service offered by Microsoft. Stanford's Relational Databases and SQL.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MARCH 19, 2015

As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT professionals often debate the merits of SQL vs. NoSQL but with increasing business data management needs, NoSQL is becoming the new darling of the big data movement.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

NOVEMBER 23, 2021

As a result, data virtualization enabled the company to conduct advanced analytics and data science, contributing to the growth of the business. Global investment bank: Cost reduction with more scalable and effective data management. Data virtualization platforms can link to different data sources including.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

DECEMBER 7, 2021

Image Credit: altexsoft.com Below are some essential components of the data pipeline architecture: Source: It is a location from where the pipeline extracts raw data. Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

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

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized Streaming Analytics 8.Speech

Hadoop 52

Hadoop Project Big Data Healthcare 52