U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? However, it also severely limits the scope of the data.

Big Data 52

Big Data Relational Database Data Datasets 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

NOVEMBER 2, 2023

Setting Up a Relational Database with Amazon RDS Difficulty Level: Intermediate AWS cloud practitioner applications can create relational databases using the Amazon Relational Database Service (RDS). It helps in evaluating what went well and identifying areas for future improvement.

AWS 52

AWS Coding Cloud Project 52

Knowledge Hut

JULY 26, 2023

Components of Typical Database Application A typical application of DBMS is made up of various components that work together to make data administration, retrieval, and interaction easier. It provides a graphical or command-based interface via which users may input data, retrieve information, and conduct different database activities.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MARCH 19, 2024

AWS's computing power, storage, database management , and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. It is the perfect fit for complex daily database requirements that are OLTP/transactional. AWS workspaces use cases IT can set up and manage access fast.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

AltexSoft

JUNE 26, 2023

All successful companies do it: constantly collect data. While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. Data collection as the first step in the decision-making process, driven by machine learning.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Team Data Science

FEBRUARY 23, 2021

Companies can now make data useful to elevate decision making and to optimise products and processes. It's currently easy to acquire data strategically. For instance, it occurs when a restaurant creates a digital version of a printed menu, so customers can scan a QR code and access it via a browser [ , 6 ].

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Knowledge Hut

NOVEMBER 17, 2023

Identity and Access Management This part of the Azure-104 study guide deals with one of the most advanced security features of this platform. Azure Identity and Access Management (IAM) is a set of solutions that helps users/companies protect access to their resources and applications on the cloud as well as the corporate data center.

Data Lake 52

Data Lake Programming Language Certification Java 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

Knowledge Hut

SEPTEMBER 26, 2023

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Workfall

MARCH 21, 2023

Furthermore, because it is a cloud-hosted database, it is simple to host or deploy because SurrealDB can be deployed anywhere, including the SurrealDB Cloud. Never again will you have to be concerned about database provisioning, scaling, sharding, replication, or correctness. What is Jamstack? Why use SurrealDB?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

AltexSoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub? A data hub is a central mediation point between various data sources and data consumers.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

NOVEMBER 6, 2023

Just as a seed buried too deep won’t sprout, valuable data, when lost in the noise, fails to provide value. That’s why data discovery tools are so important. Odds are you’re not starved for data; you’re buried in it. It offers a 360-degree view of your data, including data lineage, relationships, and rich metadata.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data analytics analyzes structured and unstructured data to generate meaningful insights based on changing market trends, hidden patterns, and correlations. How is Hadoop related to Big Data?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

U-Next

AUGUST 25, 2022

A distributed systems architecture allows you to intelligently place data wherever you want it. A fully accessible documentation store called MongoDB allows us to interact with data extremely effectively while storing a lot of it. Due to its NoSQL database, the data is kept as a collection and documents.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

AltexSoft

JUNE 7, 2021

They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. You don’t need to archive or clean data before loading.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil". Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

FEBRUARY 28, 2024

From the moment we wake up in the morning till we go back to sleep, our lives run on data. Big data has enabled us to accelerate growth and development and reach a new phase for humanity. Ironically, there is a plethora of information out there, and it can be hard to filter through and understand the potential of Big Data online.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Knowledge Hut

MAY 31, 2023

So, let's look at some top database project ideas. Inventory Control Management It is one of the most important database projects for beginners to understand business and domain. An inventory control management system is a database system that helps businesses manage their inventory.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

SEPTEMBER 28, 2023

Additionally, you want to be able to recognize security events, safeguard your services and systems, and uphold data protection to keep information private and accurate. Large-scale streaming data is quickly processed and analyzed, providing those crucial insights in real-time.

AWS 52

AWS Cloud Computing Architecture Utilities 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

U-Next

SEPTEMBER 29, 2022

An ROI boost can be achieved through data-driven marketing and sales practices. . Data-driven organizations can outperform their competitors by 6% in profitability and 5% in productivity, according to a PwC study. It has been found that data-driven businesses outperform their revenue goals by 162%. Master Data.

Management 52

Management Unstructured Data Data Government 52

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. One of its most significant benefits is its ability to quickly process a vast amount of data.

Database 52

Database SQL Process NoSQL 52

Monte Carlo

JANUARY 24, 2023

To address these challenges, new frameworks are regularly emerging that promise to simplify and optimize how data is ingested, stored, transformed, and analyzed. One of the latest is the concept of a data fabric. A data fabric isn’t just a buzzword, but it is a somewhat abstract design concept. What is a data fabric?

Metadata 40

Metadata Unstructured Data Data Architecture 40

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

MARCH 20, 2024

Full-Stack Engineer Front-end and back-end database design are the domains of expertise for full-stack engineers and developers. Together with designing the end-user interface and the complex systems and databases that operate it, they can work independently to design, create, and develop a whole working web application.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. It's driving growth and innovation across industries.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40