Knowledge Hut

JANUARY 18, 2024

IBM is one of the best companies to work for in Data Science. The platform allows not only data storage but also deep data processing by making use of Apache Hadoop. The CDP private cloud is a scalable data storage solution that can handle analytical and machine learning workloads.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Cloudera

AUGUST 27, 2021

With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.

Telecommunication 84

Telecommunication Transportation Big Data Data Ingestion 84

Knowledge Hut

JANUARY 3, 2024

Edge computing aims to bring computation and data storage closer to the devices that generate and use them. This is in contrast to the traditional centralized computation and data storage model, which requires data to be transmitted over long distances. One such technology is edge computing.

Technology 52

Technology Manufacturing Healthcare Transportation 52

Uber Engineering

AUGUST 3, 2018

From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.

Metadata 110

Metadata Big Data Transportation Data 110

Netflix Tech

OCTOBER 19, 2020

Stream Processing: to sample or not to sample trace data? This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Mantis is our go-to platform for processing operational data at Netflix.

Building 94

Building Transportation Java Metadata 94

Data Engineering Podcast

AUGUST 19, 2018

There are a few ways that graph structures and properties can be implemented, including the ability to store data in the vertices connecting nodes and the structures that can be contained within the nodes themselves. How does the query interface and data storage in DGraph differ from other options?

Database 100

Database PostgreSQL NoSQL Transportation 100

Workfall

JUNE 27, 2023

It enables the collection of data from diverse platforms in real-time, organizing it into consolidated feeds while providing comprehensive metrics for monitoring. As a distributed data storage system, Kafka has been meticulously optimized to handle the continuous flow of streaming data generated by numerous sources.

Kafka 75

Kafka Architecture AWS Transportation 75

Knowledge Hut

NOVEMBER 2, 2023

Data Management and Data Transfer To run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. It allows allocating storage volumes according to the size you need.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

APRIL 25, 2024

Compute: Through the method of computing, or data processing, is an important aspect of Information Technology. It helps in storing the data in the CPU. Data Storage: The place where the information is stated somewhere safe without directly being processed.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

DECEMBER 28, 2023

This allows for in-depth analytics and forensic review, as well as a transportable threat analysis for Executive level decision-making. This project focuses on developing a Hadoop-based solution for processing large volumes of cybersecurity data related to threats and attacks.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

APRIL 24, 2024

The in-demand availability of computer system resources, particularly data storage and processing power, without the user’s direct involvement is known as cloud computing. Large clouds frequently distribute their services among several sites, each of which is a data center.

Cloud Computing 52

Cloud Computing Cloud Telecommunication Architecture 52

Knowledge Hut

DECEMBER 26, 2023

Data storage for business intelligence You'll typically need three levels of accessible data storage for your business intelligence solutions: primary data storage, data warehouse/historical storage, and analytical databases. You will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

MARCH 12, 2024

Portability: Easy to transport and deploy. Data Types: Commonly share similar data types, such as integers, strings, and dates. Concurrency Control: Implement concurrency control mechanisms to manage multiple users accessing and modifying data simultaneously. SQLite: Lightweight: Minimal setup and administration efforts.

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Grouparoo

DECEMBER 7, 2021

Other threats come from malicious acts of attackers, whether a disgruntled employee or an external hacker.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Edureka

JULY 4, 2024

Amazon EMR owns and maintains the heavy-lifting hardware that your analyses require, including data storage, EC2 compute instances for big jobs and process sizing, and virtual clusters of computing power. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Knowledge Hut

APRIL 25, 2024

Each "thing" is given a unique identifier and the capacity to transport data autonomously across a network. Issue: Inadequate data security (communication and storage) Insecure communications and data storage are the most common causes of data security concerns in IoT applications.

Medical 52

Medical Manufacturing Healthcare Electronics 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 76

Data Lake Data Warehouse Architecture Hadoop 76

Snowflake

MAY 22, 2023

It develops custom algorithms to transform the data into business value, structures the data and designs data storage and infrastructure, and builds complex data feeds for IT professionals, focusing on IT security and internet infrastructure.

Healthcare 52

Healthcare Medical Scala Transportation 52

Knowledge Hut

APRIL 25, 2024

Over public networks, the Transport Layer Security (TLS) protocol establishes a secure communications channel (such as the internet). Domain 3: "Data Security in the Cloud." Describe Cloud Data Concepts and Data Dispersion. What party starts the protocol in a normal TLS session?

Cloud Computing 52

Cloud Computing Certification Cloud Architecture 52

U-Next

SEPTEMBER 13, 2022

Information or Data Security: This entails developing a robust data storage system to ensure data integrity and privacy while in storage and transport. . Identity Management: It is the process of identifying each individual’s level of access inside an organization. .

Java 52

Java Electronics Certification Transportation 52

Silectis

JANUARY 3, 2021

Hadoop / HDFS Apache’s open-source software framework for processing big data. JSON JavaScript Object Notation – a data-interchange format for storing and transporting data. HDFS stands for Hadoop Distributed File System. MySQL An open-source relational databse management system with a client-server model.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 6, 2023

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts. Data storage options.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

DECEMBER 22, 2023

Controls can be properly set to secure your most important business operations and valuable data if you take the time to catalog potential hazards and the locations of sensitive data storage. Protect Data protection is the responsibility of the protection function, which includes developing tools and procedures for that purpose.

Programming 52

Programming Utilities Electronics Transportation 52

Knowledge Hut

MAY 31, 2023

This system would require robust data storage capabilities provided by PostgreSQL, allowing administrators to efficiently manage the complex workflows associated with collecting, storing, and distributing blood products.

Database 52

Database Coding MongoDB Project 52

Striim

NOVEMBER 8, 2023

Data consistency is ensured through uniform definitions and governance requirements across the organization, and a comprehensive communication layer allows other teams to discover the data they need.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

MARCH 22, 2024

Core Objective: Both types aim to organise and store data effectively in computer systems, facilitating smoother data handling. Algorithmic Role: They're integral in algorithm design, influencing how efficiently data is processed and manipulated.

Algorithm 52

Algorithm Data Datasets Accessible 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

FEBRUARY 7, 2023

Throughout the years, IoT and cloud computing have aided in the implementation of numerous application scenarios, including smart transportation, cities and communities, dwellings, the environment, and healthcare. Cloud computing gathers and analyzes data from the Internet of Things devices.

Cloud Computing 52

Cloud Computing Cloud Programming Language Education 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. Let’s take the transportation industry for example.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JULY 15, 2021

It is recommended to use SQL database for data storage as it comes with built-in security tools and features. Numerous public transport services are now using a cloud-based ticketing system to streamline the service and offer a better experience. The two-way encryption technique used in the project will strengthen the security.

Cloud Computing 40

Cloud Computing Cloud Project Banking 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

AltexSoft

JUNE 26, 2023

Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. Find sources of relevant data. Choose data collection methods and tools.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

DECEMBER 10, 2021

The service provider's data center hosts the underlying infrastructure, software, and app data. Azure Redis Cache is an in-memory data storage, or cache system, based on Redis that boosts the flexibility and efficiency of applications that rely significantly on backend data stores. Explain Azure Redis Cache.

BI 52

BI Cloud Computing SQL Database 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