Knowledge Hut

MAY 31, 2023

Content Management System Development A Content Management System (CMS) must efficiently manage, store, retrieve, modify, delete, and serve rich media files (image, audio, video), documents (PDFs, Microsoft Office files), and textual content (news articles, social media posts). It is known for its speed, reliability, and scalability.

Database 52

Database Coding MongoDB Project 52

Striim

SEPTEMBER 11, 2024

Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JULY 24, 2023

It allows changes to be made at various levels of a database system without causing disruptions or requiring extensive modifications to the applications that rely on the data. What is Data Independence of DBMS? Data Independence in DBMS Example consider a database system that stores data in a file system at start.

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. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems.

Database 100

Database Cloud NoSQL Scala 100

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. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

Knowledge Hut

OCTOBER 3, 2023

Working with databases and other resources will strengthen your learning. You can contact them via social media groups or online forums. Engaging with social media groups, forums, and communities helps you learn from others. Join conferences, webinars, and events related to Azure.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. To discover study companions, you can sign up for online forums, message boards, and social media groups.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Variety is the vector showing the diversity of Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Ascend.io

JANUARY 2, 2024

These are the interfaces where the pipeline taps into various systems to acquire data. The sources of data can be incredibly diverse, ranging from data warehouses, relational databases, and web analytics to CRM platforms, social media tools, and IoT device sensors.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

APRIL 24, 2024

You can also consider the following—NET-related profiles on social media, especially Twitter. The fundamental approach for this could be subscribing to newsletters by sites and companies like CodeProject. Or follow Microsoft Developers, Visual Studio, and Windows Developer.

NoSQL 59

NoSQL Cloud AWS Google Cloud 59

Knowledge Hut

NOVEMBER 2, 2023

Storage When looking for an HPC solution, you need to consider the storage options and cost. There are several flexible blocks, object, and file storage options in AWS services that allow permanent and transient data storage. It allows allocating storage volumes according to the size you need.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. The difference between data warehouses, lakes, and marts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JUNE 20, 2023

Database Technology for the Analysis of Spatio-temporal Data Spatio-temporal data refers to data which has a geographic as well as a temporal component. Meteorological readings, GPS data, and social media content are prime examples of this diverse field.

Database 52

Database Java Education Data Collection 52

AltexSoft

NOVEMBER 10, 2021

Prior to the recent advances in data management technologies, there were two main types of data stores companies could make use of, namely data warehouses and data lakes. Data warehouse. Inability to handle unstructured data such as audio, video, text documents, and social media posts. websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

NOVEMBER 16, 2023

Data Storage As a Solutions Architect, you must have knowledge of databases. There are several data storage options available on the AWS platform. This includes powerful and simple bucket storage like S3, relational database service, and Hadoop clusters. You must know what your end goal is.

AWS 52

AWS Cloud Computing Certification Architecture 52

ProjectPro

NOVEMBER 15, 2021

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. Calcite has chosen to stay out of the data storage and processing business.

Big Data 52

Big Data Project Metadata Programming Language 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

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. Below are some of the most important concepts/topics that one must learn: Databases Databases are collections of organized data stored on a computer system. What is Backend Development?

Programming Language 52

Programming Language Computer Science Portfolio Java 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. What is meant by Aggregate Functions in SQL?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 11, 2021

Any inconsistencies found in the data are removed, and all gaps that can be filled are filled to ensure that the data maintains integrity. Data Warehouse Layer: Once the data is transformed into the required format, it is saved into a central repository.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Rockset

SEPTEMBER 13, 2022

This is a common starting point for any application, as you build the standard "CRUDL" operations to provide the ability to manipulate individual records and list a set of related records. For a social media application, this would be creating posts, adding friends, or viewing the people you follow.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

FEBRUARY 21, 2023

Knowledge of the definition and architecture of AWS Big Data services and their function in the data engineering lifecycle, including data collection and ingestion, data analytics, data storage, data warehousing, data processing, and data visualization.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. Morris and B.J. Truskowski. Truskowski.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 19, 2023

Web Storage, on the other hand, is DOM (document object model storage) which is a standard JavaScript API provided by web browsers. A web storage feature means having web applications that allow data storage within the browser on the client side. React, and Angular are two popular web frameworks.

Java 98

Java Programming Language Database Architecture 98

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Spark has a Streaming tool that can process real-time streaming data.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing more data points will therefore give you a more detailed insight into your study. The spectrum of sources from which data is collected for the study in Data Science is broad. It comes from numerous sources ranging from surveys, social media platforms, e-commerce websites, browsing searches, etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Data sources component in a modern data stack. Data storage component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59