Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. If you want to learn more about Inventory Control Management, you can check the source code for the project. From basic data retrieval to robust CRUD operations, Node.js

Database 52

Database Coding MongoDB Project 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

Knowledge Hut

APRIL 25, 2024

As for version control systems , they are tools that enable developers to manage the changes to source code. Create data storage and acceptance solutions for websites, especially those that take payments. The work includes writing, testing, and maintaining development solutions for issues with code.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

DECEMBER 21, 2023

Features: HDFS incorporates concepts like blocks, data nodes, node names, etc. The files stored in HDFS are easily accessible. The data to be stored is distributed over multiple machines. HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files. It is also horizontally scalable.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

Full Stack Developer Tools – Complete List Integrated Development Environment / Code Editors A software developer spends most of his /her time writing code, to create an application it takes millions on lines of code or even more depending on size and complexity of application. The default coding font is Consolas.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. What is a Data Structure? Using a data structure allows you to efficiently arrange data on a computer. Representation: Employs structures specific to the type of data organization required.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

APRIL 24, 2024

FCL has an open-source user interface with easy data access and database connectivity. With the introduction of ASP.NET, designing, tailoring, developing, and maintaining interfaces have become more accessible. You can read, review and answer on Stack Overflow or Code Project discussion projects.

NoSQL 59

NoSQL AWS Cloud Google Cloud 59

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

Database 52

Database NoSQL Relational Database Data Storage 52

Edureka

MARCH 5, 2024

In other words, full stack developers are proficient in both the technologies that power what users see and interact within their web browsers, as well as the technologies that handle data storage, user authentication, and server-side processing behind the scenes. What Does a Full Stack Developer Do?

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Knowledge Hut

MARCH 20, 2024

Average Salary: $93,438 Required skills: The different types of software engineers must have expertise in coding automated tests using various automation tools such as Cucumber, Watir, Selenium, Microsoft Coded UI, Katalone, UFT/QTP, and others. Writes code to build tools and frameworks for automated testing.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Why Use MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

NOVEMBER 28, 2023

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Ascend.io

SEPTEMBER 14, 2023

We’ll explore its advantages, delve into its applications, and highlight why Python is increasingly becoming the first choice for data engineers worldwide. Why Python for Data Engineering? As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Knowledge Hut

JULY 26, 2023

These tools give programmers the capabilities to handle application logic, manage data storage, and interact with the application's front end. It provides a wide range of fully managed mobile-centric services, such as authentication, push messaging, analytics, file storage, and NoSQL databases. Documentation 4.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. What is Data Independence of DBMS? Physical Data Independence in DBMS 1.

Database Design 52

Database Design Relational Database Metadata Database 52

Data Engineering Podcast

APRIL 22, 2019

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events.

Database 100

Database Cloud NoSQL Scala 100

U-Next

AUGUST 17, 2022

Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility. NoSQL – This alternative kind of data storage and processing is gaining popularity.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

ProjectPro

JANUARY 24, 2023

With BigQuery, users can process and analyze petabytes of data in seconds and get insights from their data quickly and easily. Moreover, BigQuery offers a variety of features to help users quickly analyze and visualize their data. It provides powerful query capabilities for running SQL queries to access and analyze data.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

DECEMBER 17, 2021

are shifting towards NoSQL databases gradually as SQL-based databases are incapable of handling big-data requirements. Industry experts at ProjectPro say that although both have been developed for the same task, i.e., data storage, they vary significantly in terms of the audience they cater to.

Data Science 52

Data Science SQL NoSQL Programming Language 52

AltexSoft

JUNE 7, 2021

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. In addition to technical skills, the roadmap highlights the importance of understanding DevOps practices, such as containerization, continuous integration, and deployment (CI/CD), and infrastructure as code. What is Backend Development?

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Knowledge Hut

MARCH 27, 2024

Let's check some of the best big data analytics tools and free big data analytics tools. 14 Most Popular Big Data Analytics Tools Open-source big data analytics tools are intended to be publicly accessible and are typically managed and maintained by organizations with a specific mission.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

MAY 31, 2023

As you must have read, cloud computing is becoming increasingly prominent because of its ease of access, cost efficiency, and scalability. Accessibility: Cloud-based applications and services can be accessed from anywhere in the world if you have an internet connection. Why Learning Cloud Computing is Essential?

Cloud Computing 52

Cloud Computing Cloud Programming Language AWS 52

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. It generates additional data segments and stores them across different locations. How HDFS master-slave structure works.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

SEPTEMBER 9, 2021

Apache Hive Architecture Apache Hive has a simple architecture with a Hive interface, and it uses HDFS for data storage. Data in Apache Hive can come from multiple servers and sources for effective and efficient processing in a distributed manner. Hive uses HQL, while Spark uses SQL as the language for querying the data.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

Database 52

Database Certification MongoDB MySQL 52

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library.

Engineering 52

Engineering NoSQL Programming Language Java 52

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used. For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 26, 2023

The spectrum of sources from which data is collected for the study in Data Science is broad. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Data engineers can also create datasets using Python.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52