Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

DareData

JANUARY 30, 2023

Data Ingestion Data ingestion refers to the process of importing data into a system or database for storage and analysis. This can involve extracting data from various sources, such as files, operational databases, APIs or IoT data, and transforming it into a format that is suitable for storage and analysis.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

NOVEMBER 2, 2023

My early AWS cloud practitioner projects taught me how to deploy systems, optimize performance and costs, and ensure security and dependability. 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.

AWS 52

AWS Coding Cloud Project 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

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

Team Data Science

FEBRUARY 23, 2021

It was mainly a "product first, customers second" mentality of building products and services. ✅ Explain the link between Digital Transformation and Product Development With this wave of digitalization came the need to build proper information technology teams and promoting digital literacy, mainly in the workplace.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Knowledge Hut

MAY 31, 2023

However, managing data can be a challenging task, especially when dealing with large amounts of information. This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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

Knowledge Hut

JANUARY 11, 2024

Learn about the insights of this industry, see how it works in different domains, and decide if you can build a career in it. In this article, I will discuss details about data science, its applications, and how you can build a promising career in this domain. This work is done by financial data scientists.

Finance 93

Finance Data Science Programming Language Machine Learning 93

Knowledge Hut

MARCH 20, 2024

A software engineer is a specialist who works on software systems, including their design, development, testing, and management. This ensures compatibility across various operating systems, devices, applications, and browsers. Combining databases and data sources into a single system. Who is a Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

SEPTEMBER 26, 2023

Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise. is the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 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

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

Workfall

MARCH 21, 2023

Their ultimate goal is for the stored data to be easily retrievable, updated, queried, and generally administered via a graphical user interface (GUI), dashboard, or even command line interface (CLI). We can use database management systems to perform all database actions through a graphical user interface.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Work closely with software engineers and data scientists. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

NOVEMBER 17, 2023

For instance, Azure VMs are highly scalable and enable users to run multiple operating systems like Mac, Windows, or Linux. Organizations can use Azure virtual machines for the following purposes: Back up their existing operating systems. Run apps and software on operating systems other than their native ones.

Data Lake 52

Data Lake Programming Language Certification Java 52

U-Next

AUGUST 25, 2022

MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. A distributed systems architecture allows you to intelligently place data wherever you want it. What is MongoDB Database?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. Data Engineers On-site and cloud data platform technologies are configured and provisioned by data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

SEPTEMBER 23, 2021

Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. An ETL approach in the DW is considered slow, as it ships data in portions (batches.)

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 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

Silectis

JANUARY 3, 2021

.” Artificial Intelligence AI is a broad term used to describe engineered systems that have been taught to do a task that typically requires human intelligence. BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions.

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

Knowledge Hut

SEPTEMBER 28, 2023

It involves crafting and cultivating cloud environments, adeptly managing and optimizing these systems, discerning the precise functionality required, guiding seamless cloud migration efforts, and confidently navigating high-stakes scenarios, among other skills. You must set up security-related procedures before architecting any task.

AWS 52

AWS Cloud Computing Architecture Utilities 52

AltexSoft

AUGUST 29, 2023

Who needs a data lake? 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 warehouse vs. data lake in a nutshell. Traditional data warehouses have been around for decades. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

JUNE 7, 2021

You don’t need to archive or clean data before loading. The system automatically replicates information to prevent data loss in the case of a node failure. It doesn’t belong to the master-slave paradigm, being responsible for loading data into the cluster, describing how the data must be processed, and retrieving the output.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 27, 2023

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics.

BI 52

BI ETL Tools Retail Healthcare 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. When querying big data kept in the cloud, Apache Hive, a data warehousing tool, offers an interface similar to SQL.

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

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

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

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

However, in practice, many companies don’t necessarily have data architects so there are only data engineers and this distinction won’t be applicable. The daily tasks of a data architect require more of a strategic thinking, while a data engineer’s workload is more about building the software infrastructure, which are technical tasks.

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. A triple is the most basic knowledge graph model you can build with two nodes and one edge explaining their connection. Knowledge graphs for organizing data over the internet. A knowledge graph example.

Relational Database 52

Relational Database Banking Media Computer Science 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. Hadoop architecture layers.

Big Data 78

Big Data Data Analytics IT NoSQL 78