Knowledge Hut

JULY 3, 2023

Studying data in deeper detail can help to identify the inefficiencies, bottlenecks or anomalies hence leading to quick actions resulting in efficient operations and reduced costs. Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

DECEMBER 26, 2023

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB.

Food 52

Food Programming Language Transportation Manufacturing 52

Knowledge Hut

JUNE 26, 2023

Application Management Application management expertise is crucial in an Azure-centric ecosystem. Microsoft Certification: Azure Data Fundamentals Azure Data Fundamentals is designed for individuals who want to gain knowledge of data principles & core concepts related to Azure data services.

Cloud Computing 52

Cloud Computing Certification Pipeline-centric Database-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineering 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. These tools give programmers the capabilities to handle application logic, manage data storage, and interact with the application's front end. Benefits of Backend Tools 1.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

U-Next

AUGUST 17, 2022

When organizing vast amounts of data, Data Engineering skills are most important. Data must be comprehensive and cohesive, and Data Engineers are best at this task with their set of skills. Skills Required To Be A Data Engineer. Responsibilities of a Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data management and monitoring options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

JULY 18, 2023

Datasets: RDDs can contain any type of data and can be created from data stored in local filesystems, HDFS (Hadoop Distributed File System), databases, or data generated through transformations on existing RDDs. Hadoop shines when processing large data sets where time is not the primary factor.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

AUGUST 18, 2021

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau helps render data with rich visualization so that professionals at any level within the organization can extract value. Tableau allows us to connect and pull data from various platforms.

BI 40

BI Database-centric SQL Software Engineer 40

Edureka

AUGUST 28, 2023

Traditional centralized databases are prone to data breaches and hacking, which frequently results in exposed personal and financial information. Blockchain’s inherent attributes of immutability and decentralized data storage can reshape digital advertising and combat challenges like ad fraud and inaccurate metrics.

Medical 52

Medical Healthcare Finance Database-centric 52

phData: Data Engineering

JULY 18, 2023

First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse. Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52