Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 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

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

DareData

JANUARY 30, 2023

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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. What are AWS Case Studies, and Why are They Important?

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 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. Briefly narrate the modern history of digital technology in these few easy steps. But what organizational capabilities are necessary and how to get started?

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

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

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

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

Knowledge Hut

JANUARY 11, 2024

In this article, I will discuss details about data science, its applications, and how you can build a promising career in this domain. If you want to be a financial data scientist, you can take the help of the Data Science certification course by KnowledgeHut, and it will act as a launchpad for your growth in this field.

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Finance Data Science Programming Language Machine Learning 93

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. There is no telling what the future of big data technology holds. What is Big Data? Big data refers to large amounts of data.

Big Data 52

Big Data Cloud Storage Healthcare SQL 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

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

JUNE 23, 2023

The core objective is to provide scalable solutions to data analysts, data scientists, and decision-makers of organizations. Data engineering is one of the highest in-demand jobs in the technology industry and is a well-paying career. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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

MARCH 20, 2024

One of the most rapidly expanding and in-demand sectors to work in is information technology. Technology is advancing so quickly that there will always be chances in tech industries like software engineering for employment and financial gain. UI comprises aesthetics, format, and layouts, among other visual elements.

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

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Let us first get a clear understanding of why Data Science is important. What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JULY 24, 2023

As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. Recently, the advent of stream processing has unlocked the door for a new era in database technology. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

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. So, let’s dive in!

Big Data 52

Big Data Hadoop AWS Relational Database 52

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

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

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. What is MongoDB?

MongoDB 40

MongoDB Architecture NoSQL MySQL 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

SEPTEMBER 28, 2023

My mission is to serve as the bridge between the intricacies of technology and the aspirations of our clients, harnessing the skills imperative for AWS Solution Architecture. Pursuing the appropriate AWS Cloud Architect certification unveils a captivating blend of science and artistry within this profession.

AWS 52

AWS Cloud Computing Architecture Utilities 52

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. It allows for more flexibility in how the data is used.

Process 52

Process Building Raw Data Data Lake 52

U-Next

SEPTEMBER 9, 2022

That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. 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 40

Hadoop Big Data Management Unstructured Data 40

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

Monte Carlo

JANUARY 24, 2023

A data fabric isn’t just a buzzword, but it is a somewhat abstract design concept. So let’s unpack what a data fabric actually is, how it works, what it promises to deliver—and how it differs from the similarly popular data mesh architecture. What is a data fabric?

Metadata 40

Metadata Unstructured Data Data Architecture 40

AltexSoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

AltexSoft

OCTOBER 3, 2022

You see data that is directly related to the “Robert De Niro date of birth” search query — such as his age. To make such things happen, it had to go through many websites, find relationships between the information presented there, and finally serve useful data with great precision and speed. What is a knowledge graph?

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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

AUGUST 3, 2022

Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. And Data Science has a significant impact here. What is a Data Scientist? What are Data Scientist roles?

Retail 52

Retail Data Science Computer Science Entertainment 52

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.

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Big Data Tools Hadoop Big Data Database-centric 98