Knowledge Hut

NOVEMBER 2, 2023

Building a Serverless API with AWS Lambda Difficulty Level: Intermediate Explore serverless architectures on AWS with simple projects such as creating an API with AWS Lambda. Professionals deploy databases, manage credentials and access, and integrate with other AWS services or applications.

AWS 52

AWS Coding Cloud Project 52

Knowledge Hut

JULY 26, 2023

It is made up of tables that carry data in rows and columns. Data Access Layer: The data access layer function is to create a connection between the application and the database. Database Application Types: The various types of database applications are as follows: 1.

Database 52

Database NoSQL Telecommunication MongoDB 52

Team Data Science

FEBRUARY 23, 2021

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 ]. It was mainly a "product first, customers second" mentality of building products and services. But of course, digitization still happens intensively nowadays.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

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

Workfall

MARCH 21, 2023

SurrealDB shortens development time for modern applications by simplifying the entire database and API stack, eliminating the need for most server-side components. This allows you to quickly and cheaply build secure and performant apps. It has a very specific advantage in that there is no need for a complex database and backend setup.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. Flexibility Data lakes are, by their very nature, designed with flexibility in mind.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

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

Knowledge Hut

SEPTEMBER 22, 2023

A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. How Long Does Microsoft Azure Data Engineer Certification Take?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

MAY 31, 2023

A key part of building any successful job portal will be ensuring that candidates can easily navigate listings, filter results by criteria such as location or industry, and then quickly send their details to prospective employers. Here is a link to source codes for Online Job Portal using Python and SQL databases.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

MARCH 20, 2024

Combining databases and data sources into a single system. Builds and manages data processing, storage, and management systems. Full-Stack Engineer Front-end and back-end database design are the domains of expertise for full-stack engineers and developers. Make sure programs operate safely and effectively.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

AltexSoft

SEPTEMBER 23, 2021

Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. Data lake vs data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

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. Is MongoDB A Relational Database? The variables are used to build the publications.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

AltexSoft

AUGUST 29, 2023

If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking. Data sources In a data lake architecture, the data journey starts at the source. Data sources can be broadly classified into three categories.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

JANUARY 24, 2023

This happens when your data fabric unifies all your data, provides universal access controls, and improves discoverability for all data consumers. Instead of relying on time-consuming integrations, complicated pipelines, and hefty relational databases, data consumers can tap into easily accessible and visualized data.

Metadata 40

Metadata Unstructured Data Data Architecture 40

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

U-Next

SEPTEMBER 29, 2022

What Is a Data-Driven Culture? . Data on a daily basis surround us. As data becomes more accessible, companies are leveraging it to grow and make an impact. The importance of data today cannot be overstated. Having a data-driven culture is essential for organizations’ survival and growth. .

Management 52

Management Unstructured Data Data Government 52

Knowledge Hut

SEPTEMBER 28, 2023

Enroll in KnowledgeHut's in-demand Cloud Computing training to learn concepts from the ground up, build a strong conceptual foundation, effortlessly pass examinations, and wow top recruiters with AWS and Microsoft Azure certifications. NACLs and Security Groups are essential for maintaining controlled access and bolstered security.

AWS 52

AWS Cloud Computing Architecture Utilities 52

ProjectPro

JANUARY 27, 2023

Industry Research A Boston University study has revealed that 83% of organizations enhanced their decision-making due to easy access to data. A high level of data access regarding market demand, competitor profiles, consumer segments, and financial conditions may be one of the main factors influencing your company's performance.

BI 52

BI ETL Tools Retail Healthcare 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

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

Knowledge Hut

APRIL 12, 2023

Azure provides organizations with the tools and services needed to build, deploy, and manage applications and services on the cloud. Azure allows users to build, deploy, and manage applications and services on the cloud, reducing the need for physical infrastructure. This makes it an efficient and accessible file storage solution.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. High volumes of real-time data can be processed with ease using Apache Storm, a distributed real-time processing system.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. or Ruby on Rails, to build the infrastructure and logic of a web application. A backend developer is a software developer who specializes in building and maintaining the server-side components of a web application. Who is a Backend Developer?

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 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. Azure provides the infrastructure and tools necessary to build, deploy, and manage applications and services efficiently.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

AltexSoft

MAY 14, 2021

And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. This data isn’t just about structured data that resides within relational databases as rows and columns. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69