Knowledge Hut

FEBRUARY 29, 2024

Best website for data visualization learning: geeksforgeeks.org Start learning Inferential Statistics and Hypothesis Testing Exploratory data analysis helps you to know patterns and trends in the data using many methods and approaches. In data analysis, EDA performs an important role.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

MAY 3, 2024

For stream processing and transformations, one can utilize the Kafka Streams API, which offers T in ETL. Due to the fact that Spark enables users to retrieve, store, and alter data. Its interoperability with other kinds of systems, however, might appear to be extremely difficult. A continuous processing model is an outcome.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. When is Snowplow the wrong choice?

Building 130

Building IT Metadata MongoDB 130

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data. Additionally, the infrastructure investment and operational costs associated with storing and processing Big Data can be significant.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

JANUARY 2, 2024

You will learn how to build up Kube-state-metrics system, pull and collect metrics, deploy a Prometheus server and metrics exporters, configure alerts with Alertmanager, and create Grafana dashboards. For use instances when Prometheus cannot scrape the data, it is possible to push metrics to Prometheus using Pushgateway.

Architecture 98

Architecture Metadata Utilities Data Collection 98

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

DECEMBER 27, 2023

Due to the inability to delete or amend the chain without network consensus, the data remains chronologically consistent. To manage orders, payments, accounts, and other transactions, you can utilize blockchain technology to establish an unchangeable or immutable ledger. How to Select a Blockchain Platform for your Business?

Programming Language 98

Programming Language Banking Utilities Algorithm 98

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

Knowledge Hut

MARCH 28, 2024

Now you might be thinking about what a data structure is, well it is the specialized way of storing and arranging data in the computer’s memory, allowing for efficient retrieval, manipulation and utilization. Learning data structures is like understanding computer language. Why are Data Structures Important?

Algorithm 52

Algorithm Java Utilities Data 52

Knowledge Hut

NOVEMBER 20, 2023

Not only individually but in conjunction with AI as one of the primary data sources used to train AI automation systems. By definition, IoT is a collection of physical objects integrated with software, sensors, and other devices for communicating and sharing data with different systems and devices over the internet.

Electronics 52

Electronics Utilities Architecture Data Lake 52

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. This results in a lack of management of data effectively.

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

MARCH 22, 2024

It also allows organizations to leverage data collected from IoT devices, converting IoT data into actionable information. Because it is versatile and has robust features, Azure IoT is utilized for many applications in different industries.

Cloud Computing 52

Cloud Computing Utilities Cloud Transportation 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

MARCH 28, 2024

Purpose and Utility Software metrics allow for the quantitative assessment of software quality attributes such as reliability, maintainability, and usability. This ensures that the data collected and analyzed will provide meaningful insights into the areas of interest, such as productivity, quality, or customer satisfaction.

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 52

Knowledge Hut

JANUARY 23, 2024

The capacity of blockchain to store and manage data enables traceability, which is utilized to aid in creating and implementing technologies for intelligent farming and index-based crop insurance. It also leaves the entire system vulnerable to a cyber-attack. Weather extremes have an impact on agricultural and livestock quality.

Technology 52

Technology Food Insurance Data Collection 52

Data Engineering Podcast

MAY 15, 2022

Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations being informed by data collected across a fleet of sensors. What kinds of analysis are you performing on the collected data? Closing Announcements Thank you for listening!

Designing 100

Designing MongoDB AWS SQL 100

Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Data Science in Healthcare The Healthcare sector is immensely benefiting from the advancements in AI. Data about packages and deliveries are captured through radars and sensors.

Data Science 98

Data Science Transportation Hospitality Banking 98

The Modern Data Company

APRIL 15, 2024

However, integrating data-driven approaches into our operations can seem daunting, primarily due to longstanding habits and traditional methods. But a chef needs the right tools and ingredients to make that perfect dish, and businesses require a well-designed system—or “machine”—to harness the power of data efficiently.

Building 52

Building Raw Data Food Data 52

Knowledge Hut

NOVEMBER 15, 2023

Example 4: To utilize my background in mechanical engineering to improve the efficiency of manufacturing processes for a leading automotive company. Example 9: To utilize my experience in chemical engineering to develop new, environmentally-friendly products for a consumer goods company. Undergone data science course.

Finance 98

Finance Business Intelligence Database-centric Certification 98

dbt Developer Hub

JANUARY 16, 2023

Imagine you were responsible for monitoring the safety of a subway system. This post demonstrates how the simple act of conducting tests by group can expand the universe of possible tests, boost the sensitivity of the existing suite, and help keep our data "on track". This feature is now available in dbt-utils.

Utilities 52

Utilities Datasets Data Collection Data 52

Knowledge Hut

JULY 28, 2023

Hence, a systematic problem-solving technique used to identify underlying causes of incidents within IT systems and processes like RCA is needed. RCA, as an integral part of ITIL, focuses on identifying the underlying causes of incidents or problems within an organization's IT systems and processes.

Utilities 52

Utilities Data Collection Certification Systems 52

Snowflake

MARCH 7, 2023

Andreas von Buchwaldt, Grant Mitchell, and Steve Varley of EY (2022) write, “Typically, the necessary data is not captured by legacy processes and systems. CEOs need to identify early the new internal business and impact data they will use to create a true measurement of progress and achievement.”

Transportation 68

Transportation Data Data Lake Retail 68

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. Let’s take a look at Morgan Stanley interview question : What is data engineering? What is a data warehouse?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Engineering at Meta

JANUARY 27, 2023

This talk showcases Bifrost and Echo , which are the first networks to directly connect the US and Singapore and will support SGA, Meta’s first APAC data center. Millisampler data allows us to characterize microbursts at millisecond or even microsecond granularity.

Engineering 126

Engineering Software Engineer Software Engineering Transportation 126

Databand.ai

JULY 3, 2023

Data reliability vs. data validity Data reliability and data validity address two distinct aspects of data quality. In the context of data management, both of these qualities play a crucial role in ensuring the integrity and utility of the data at hand.

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Pinterest Engineering

SEPTEMBER 20, 2023

Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection. As a first step, we took on the challenge of building a visual body type signal which will help us surface diverse content and also help ensure our recommendations are more representative of various body types.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Knowledge Hut

NOVEMBER 20, 2023

This is not true for automated systems at the core. So, if you give a command that hasn’t been configured, the system won’t work. Etymologically, AI refers to the intelligence of a computer-controlled system that performs tasks commonly associated with humans. Learning AI systems learn from the data fed into them.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Knowledge Hut

OCTOBER 29, 2023

Build Cardiovascular disease early detection system As the name suggests, this project is a simple one to get started with Azure Cognitive Services. Smart watches can help in data collection and then the same data can be fed into an application that is capable of sending alerts in case an outlier is detected.

Project 52

Project Hospitality Food Datasets 52

Knowledge Hut

JANUARY 18, 2024

Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems. These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. The impact of business intelligence in network security systems: This topic investigates the role of business intelligence in enhancing network security systems.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

ProjectPro

JUNE 28, 2016

To explain Apache Kafka in a simple manner would be to compare it to a central nervous system than collects data from various sources. This data is constantly changing, and is voluminous. This data can be anything from clickstream data, activity/ web logs, consumer data, etc.

Kafka 40

Kafka Systems Hadoop BI 40

Knowledge Hut

DECEMBER 28, 2023

. "Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts." Knowing the technical aspects is crucial for website developers and big data professionals. Businesses utilize relational databases to store information in a tabular format.

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

JUNE 28, 2023

The answer lies in the strategic utilization of business intelligence for data mining (BI). This table highlights various aspects such as data mining for business intelligence concepts techniques and applications. Reporting, querying, and analyzing structured data to generate actionable insights.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

JANUARY 31, 2024

The ITIL framework is compatible with worldwide quality system standards such as ISO 20000. This component's utility and warranty ensure that the service is up to standard and suitable for use, respectively. The ITIL methodology is the most widely used IT service framework on the planet.

Certification 52

Certification Telecommunication Government Utilities 52