Precisely

JULY 25, 2023

Organizations that run SAP can use Excel-to-SAP automation to do more with less, while also increasing agility and improving their SAP master data management process automation. We bring automation closer to the business users who own the data and the day-to-day processes that drive the business. Check out our free ebook.

Data Process 52

Data Process Process Data Data Integration 52

Knowledge Hut

JANUARY 18, 2024

Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

U-Next

OCTOBER 16, 2022

From business transactions to scientific data, sensor data, pictures, videos, and more, we can and are handling a tremendous amount of information and data every day. The KDD process in data mining is used in business in the following ways to make better managerial decisions: . What is KDD? .

Data Mining 40

Data Mining Process IT Raw Data 40

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Scott Logic

APRIL 30, 2024

Hardware Based Power meters / monitoring hardware can provide energy values based on how much power the phone is drawing when fully charged to perform a particular process. By connecting an Android phone to a PC using ADB (Android Debug Bridge) we can request a dump of this raw data, sometimes going back as far as several days.

Raw Data 72

Raw Data Data Collection Python Process 72

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

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Confluent

FEBRUARY 21, 2019

It caused me to wonder if there was anything that I could do with my project HELK to apply some of the relationships presented in our talk, and enrich the data collected from my endpoints in real time. This is because the Create method allows a user to create a process either locally or remotely.

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Process Kafka Datasets SQL 81

Knowledge Hut

MARCH 28, 2024

Software metrics encompass a variety of measures that assess the quality, performance, and efficiency of software development processes and products. They serve as critical indicators that help teams to identify areas of improvement, make informed decisions, and enhance productivity. What are Software Metrics in Software Engineering?

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 52

Engineering at Meta

APRIL 17, 2023

Millisampler runs on our server fleet collecting short, periodic snapshots of this data at 100us, 1ms, and 10ms time granularities, stores it in local disk, and makes it available for several days for on-demand analysis. The user code attaches the tc filter and enables data collection.

Bytes 113

Bytes Transportation Data Collection Coding 113

Cloudera

APRIL 13, 2022

If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business outcomes. . Data collection and interpretation when purchasing products and services can make a big difference. Procurement.

Data Collection 112

Data Collection Algorithm Machine Learning Education 112

Knowledge Hut

MARCH 7, 2024

Decision Making Decision-making ability in the context of business analysis refers to the analyst’s ability to make a selection of a course of action or to be able to facilitate such a thinking process. Communication Skills Oral Communication It is important for a BA to be able to verbally express ideas, information or other matters.

Business Analyst 98

Business Analyst Consulting Data Analysis Finance 98

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. Learning Data Visualization To discover hidden truth or information on business problem, data needs to be viewed properly.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. Keep the information in your company's computer database, which might need updates frequently.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 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. What is Big Data? This knowledge is expanding quickly.

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

Raw Data 75

Raw Data Utilities Government Data 75

Knowledge Hut

JANUARY 3, 2024

Qualitative research is one of the most widely used processes for acquiring data. It entails analyzing the information gathered from observations or experiences made by people. Qualitative data collection is the collection of descriptive and conceptual findings through questionnaires, interviews, or observation.

Data Collection 52

Data Collection Hospitality Data Analysis Datasets 52

Knowledge Hut

APRIL 23, 2024

Big data refers to large volumes of data or datasets that cannot be gleaned or parsed with traditional tools and methods. These overwhelming datasets encompass extensive and complex information from multiple sources like transactions, web interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Christophe Blefari

SEPTEMBER 15, 2023

Mainly he treats about openness, risks measurements—like mis-information, elections manipulation or carbon emission increase—and finally safeguards implementation. 💡 Additional big tech stuff to check: real-time ML training at Etsy and last mile data processing with Ray at Pinterest.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Knowledge Hut

MAY 1, 2024

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns.

Algorithm 98

Algorithm Raw Data Computer Science Data Science 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.

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Data Pipeline Bytes Raw Data Data Collection 52

U-Next

MARCH 1, 2023

Being a hybrid role, Data Engineer requires technical as well as business skills. 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. What is a data warehouse?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Monte Carlo

MARCH 18, 2024

Data quality audits are a key way to ensure your business decisions are being informed by fresh, accurate, and up-to-date data. Table of Contents What are Data Quality Audits? A data quality audit is a step-by-step process to validate the accuracy and trustworthiness of your data.

Datasets 52

Datasets Data Pipeline BI Data 52

Zalando Engineering

JULY 14, 2020

Challenges with our Tech Radar The Zalando Tech Radar is modelled after the Thoughtworks Technology Radar and includes a ring-based scoring for a certain technology/framework along with supplementary information about pros, cons, restrictions, usage, and lessons learned at Zalando available as a knowledge base for our teams.

Technology 40

Technology Process Programming Language Programming 40

Knowledge Hut

MARCH 18, 2024

How you track and analyze project data is a critical component that can make all the difference in whether a project you manage succeeds or fails. Work performance data is even more important than this process, which is necessary. The project manager and team still need to analyze the raw data.

Raw Data 52

Raw Data Data Designing Project 52

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JANUARY 18, 2024

What is Data Science? Data science is a collaborative field that deals with the study of data using various tools and methods. It aims to find invisible patterns, extract meaningful information, and solve problems in various domains. Know more about data science vs business analytics.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JUNE 20, 2023

From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research. Childhood Obesity: Data Management Childhood obesity is a growing public health concern, with rates of obesity among children and adolescents rising around the world.

Database 52

Database Java Education Data Collection 52

Knowledge Hut

FEBRUARY 1, 2024

UX Design Challenges: Overview Before deep diving into the specific UX challenges in 2023, let’s have a quick overview: Challenge Solution Bridging the design-development gap Enhance your communication skills and understand the development process Budget and Time Restrictions Prioritize tasks and break up bigger goals into smaller tasks.

Designing 52

Designing Portfolio Data Collection Insurance 52

Edureka

FEBRUARY 6, 2023

All workforce processes, including hiring, wage compensation, stint and labour, training, engagement, and retention, are measured by HR teams. On the other hand, HR Analytics entails using various analytical processes on the internal human capital of the firm to enhance employee retention and productivity.

Recruitment 52

Recruitment Data Collection Management Database 52

Knowledge Hut

DECEMBER 26, 2023

You can execute this by learning data science with python and working on real projects. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. Along with business understanding, you also need to have analytical skills.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

SEPTEMBER 19, 2023

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. Internal vs. external travel data sources At the core of effective travel analytics lies the fundamental requirement for diverse and robust data from internal and external sources.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Edureka

APRIL 12, 2024

Framed for cyber security professionals, the Certified Information Systems Security Professional exam or CISSP is a globally recognised certification. Asset Security This domain has a 10% weightage and covers the identification, classification, and protection of information assets.

Certification 52

Certification Architecture Accessible Accessibility 52

Cloudera

JANUARY 20, 2021

We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. The six steps are: Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store). Data Collection Challenge.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

The Modern Data Company

APRIL 15, 2024

Data is vital to business but the process of getting from data to insights is often murky. Many on the business side may not even care how it happens but understanding this process matters. Making The Sausage – or Getting from Data to Insights Imagine your favorite dish—it’s probably perfect.

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