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 Data Architect ETL Method 98

Snowflake

NOVEMBER 6, 2023

With first-party data, retailers can more accurately and directly target what customers really want through information they already collect—customer demographics, purchase history, or at what price points these purchases were bought.

Retail 80

Retail Media Digital Media Data Collection 80

Snowflake

NOVEMBER 25, 2024

These are real problems with real impacts that stem from how we manage information. Solving data disparities is one of the great opportunities of our time. Inequitable data access exacerbates global inequalities. That means dismantling data silos, bridging gaps in data collection and safely and securely sharing knowledge.

Machine Learning 57

Machine Learning Data Government Education 57

Snowflake

JULY 8, 2024

These select EU deployments will be connected to and will send all usage data to the EU repository and only select usage data will be sent to the global repository. European Union (EU) data sovereignty Snowflake’s first zonal repository outside of the US will be located in the EU to house usage data collected from the region.

Cloud 98

Cloud Google Cloud Education AWS 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

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 114

Bytes Transportation Data Collection Coding 114

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 110

Data Collection Algorithm Machine Learning Education 110

The Pragmatic Engineer

OCTOBER 17, 2024

  This grant is designed to “support entrepreneurs, tech-geeks, developers, and socially engaged people, who are capable of challenging the way we search and discover information and resources on the internet” The team is tiny; only three people. Storing data: data collected is stored to allow for historical comparisons.

Cloud 279

Cloud AWS Metadata Cloud Computing 279

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

U-Next

MARCH 7, 2023

What Is A Customer Data Platform? The CDP platform is a software program that collects client information from several sources and keeps it in a single database. Companies frequently use CDP Software as the sole source of consumer information. Infact, from 2021 to 2022, CDP global revenues rose by 25% to $2 billion.

Bytes 98

Bytes Media Data Data Collection 98

Knowledge Hut

MARCH 7, 2024

Below are the 5 major Big Data challenges that enterprises face in 2024: 1. exabytes) of information is being generated every day. The previous two years have seen significantly more noteworthy increments in the quantity of streams, posts, searches and writings, which have cumulatively produced an enormous amount of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Hevo

JUNE 20, 2024

In recent years, businesses worldwide have scaled up their Data Collection operations, leading to the term ‘Big Data.’ ’ Today, companies collect information from various sources, including Business Transactions, Industrial Equipment, Social Media, and more.

Media 40

Media Big Data Data Collection Data 40

Hevo

DECEMBER 26, 2023

Extracting meaningful insights from the millions of rows of data collected in real-time is always a huge challenge for organizations globally. Data Visualisations Tools like Power BI allow business teams to build visually stunning and informative dashboards & reports to keep a tab on their goals & objectives.

BI 52

BI Data Collection Building Data 52

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Data Pipeline 116

Data Pipeline Building Manufacturing Data Warehouse 116

Precisely

OCTOBER 28, 2024

Keeping customers informed – even when delays happen – builds trust; customers can be much more forgiving. Coupled with the frustration of dealing with multiple representatives and having to repeat information over and over, it’s no wonder satisfaction levels have plummeted. The takeaway?

Insurance 59

Insurance Data Collection Process Technology 59

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

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

JUNE 4, 2024

Data science is the idea to "understand and analyzing actual phenomena" with data by integrating statistics, machine learning, data analysis, and their related techniques. Is Data Science Useful for Business? This information could improve the dating website's user interface and make it more user-friendly.

Data Science 52

Data Science Data Mining Media Recruitment 52

RandomTrees

APRIL 24, 2024

Components of LLMOps Data Collection and Preparation Model Development Prompt Engineering, RAG and Model Fine-tuning Model Deployment Observability RLHF 1. Data Collection and Preparation Data collection and preparation are a must if one wants to train a Large Language Model (LLM) from scratch or fine-tune one.

Machine Learning 52

Machine Learning Datasets Data Collection Engineering 52

Snowflake

JULY 31, 2024

Letting go of legacy The ability to align research data with universally accepted data standards, such as the OHDSI OMOP Common Data Model , is a strategic imperative for AMCs. Each of these data types can require specialized software packages, hardware environments and data processing techniques.

Medical 84

Medical Healthcare Insurance Hospitality 84

Striim

OCTOBER 11, 2024

Change Data Capture (CDC) plays a key role here by capturing and streaming only the changes (inserts, updates, deletes) in real time, ensuring efficient data handling and up-to-date information across systems. Why are Data Pipelines Significant? Now that we’ve answered the question, ‘What is a data pipeline?’

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

MARCH 28, 2024

They serve as critical indicators that help teams to identify areas of improvement, make informed decisions, and enhance productivity. 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 Project 52

Databand.ai

JUNE 8, 2023

Key components of an observability pipeline include: Data collection: Acquiring relevant information from various stages of your data pipelines using monitoring agents or instrumentation libraries. Data storage: Keeping collected metrics and logs in a scalable database or time-series platform.

Data Pipeline 52

Data Pipeline Bytes Data Collection Raw Data 52

Edureka

FEBRUARY 6, 2023

In simple words, the sole purpose of HR analytics is to gather pertinent data and then use this data to make well-informed decisions about improving human capital assets. When used together, it provides information about what is occurring inside the organisation based on quantifiable, concrete facts.

Recruitment 52

Recruitment Data Collection Management Database 52

Databand.ai

JULY 3, 2023

This is largely a data quality check. Completeness of data identifies if anything is missing from the information. While data can be valid, it might still be incomplete if critical fields are not present that could change someone’s understanding of the information. Is it complete? Is it unique?

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

Snowflake

OCTOBER 2, 2024

Synthetic data generation for secondary analysis: AI can create artificial data that mimics real-world data, which is useful for secondary analysis, where researchers can validate their findings without the constraints of patient privacy. Should you build or buy a gen AI solution?

Manufacturing 86

Manufacturing Pharmaceutical Healthcare Algorithm 86

U-Next

MARCH 1, 2023

It’s not just the data itself that is important, but also how that data can be used to make better decisions. A data engineer will often work closely with other departments within a company to find out what information they need and how they want it presented, as well as work directly with business analysts or IT specialists.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Cloudera

MAY 9, 2023

With new revenue streams and more varied operational structures of business units, it was imperative for SoftBank to move to a scalable data platform, where they could have a reliable, single source of information.

Data Security 88

Data Security Telecommunication Data Lake Data Governance 88

Knowledge Hut

MAY 29, 2024

Census Bureau is a valuable source of demographic and socioeconomic data about the United States. They provide comprehensive datasets that offer detailed information about the population, housing, employment, and other key indicators. It captures information on various events, emotions, and narratives reported in the media.

Datasets 52

Datasets Transportation Entertainment Media 52

Knowledge Hut

JANUARY 23, 2024

Blockchain technology in agriculture improves food safety by allowing information to be traced across the food supply chain. 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.

Technology 52

Technology Food Insurance Data Collection 52

Precisely

AUGUST 29, 2024

Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Data governance ensures AI models have access to all necessary information and that the data is used responsibly in compliance with privacy, security, and other relevant policies. What does “quality” data mean, exactly?

Data Governance 52

Data Governance Government High Quality Data Datasets 52

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 Machine Learning Database Design 98

Knowledge Hut

JUNE 20, 2023

To address this issue, it’s crucial to have access to comprehensive data on childhood obesity. Analyzing information on prevalence, risk factors, and interventions is a popular research topic in DBMS these days. Customer Segmentation: Storage and analysis of customer data makes it possible to gain valuable insights.

Database 52

Database Java Education Data Collection 52

ThoughtSpot

OCTOBER 18, 2024

To ensure consistency across all build environments and capture detailed information such as timestamps, environment variables, compilation statistics, and relevant metadata for each build, we introduced custom tasks. The structured JSON output was designed to capture all relevant information, making it easier to analyze and query.

Building 52

Building Process Pipeline-centric Database-centric 52

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

Snowflake

DECEMBER 6, 2023

Healthcare data can and should serve as a holistic, actionable tool that empowers caregivers to make informed decisions in real time. We founded Leap Metrics and built Sevida to serve patients and healers by providing an analytics-first approach to data collection and care management solutions.

Healthcare 95

Healthcare Aggregated Data Medical Machine Learning 95

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