Data Engineering Podcast

JULY 29, 2018

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales.

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

U-Next

OCTOBER 20, 2022

It is obvious that when using a GPS while driving, we must pay attention to other information streams (such as our eyes and ears). Similarly, we must consider other data sources while assessing the findings or recommendations of data analysis. . The data utilized to train the ML models is a major contributor to these biases.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Edureka

FEBRUARY 20, 2023

Principles of Quality Management System: Quality planning, assurance, control, and improvement are the four primary parts of quality management. What is Quality Management System (QSM) Would you like to see increased productivity and reduced waste in your business? A brilliant system that assists you in beating your rivals in the race?

Systems 52

Systems Management Manufacturing Food 52

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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

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 273

Cloud AWS Metadata Cloud Computing 273

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

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 100

Cloud Google Cloud Education AWS 100

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.

Building 130

Building IT Metadata MongoDB 130

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 111

Data Collection Algorithm Machine Learning Education 111

ProjectPro

MARCH 5, 2021

Welcome to the World of Recommender Systems!!! Table of Contents What is a Recommender System? The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems.

Algorithm 40

Algorithm Systems Python Datasets 40

Snowflake

OCTOBER 2, 2024

These include security concerns and data privacy regulations, data access and management issues, and the complexities of implementing AI solutions into existing life sciences workflows. Additionally, there are high costs associated with implementing AI and maintaining a team of skilled professionals to develop and manage AI systems.

Manufacturing 88

Manufacturing Pharmaceutical Healthcare Algorithm 88

Snowflake

JULY 31, 2024

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. alone, there are more than 230 active AMCs , and a significant number are part of a health system. Each of these data types can require specialized software packages, hardware environments and data processing techniques. In the U.S.

Medical 86

Medical Healthcare Insurance Hospitality 86

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

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

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

It is a cognitive process where the BA must guide key stakeholders in making decisions by providing an adequate and accurate amount of information in a format suitable for making necessary comparisons of options. Systems Thinking Systems do not refer only to software systems.

Business Analyst 98

Business Analyst Consulting Data Analysis Project 98

RandomTrees

OCTOBER 14, 2024

The Role of GenAI in Demand Forecasting GenAI constitutes a branch of artificial intelligence that can create new data or predictions based on data it has already analyzed. Integrating different kinds of data with ease will be vital for GenAI models to work properly.

Utilities 52

Utilities Data Mining Algorithm Systems 52

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

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. Can you describe what Vopak is and what kinds of information you rely on to power the business?

Designing 100

Designing MongoDB AWS SQL 100

Striim

SEPTEMBER 11, 2024

Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value. With data volumes and sources rapidly increasing, optimizing how you collect, transform, and extract data is more crucial to stay competitive.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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. To address this issue, it’s crucial to have access to comprehensive data on childhood obesity. This is one of the hottest DBMS research paper topics.

Database 52

Database Java Education Data Collection 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

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. It’s not just the data itself that is important, but also how that data can be used to make better decisions.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Snowflake

OCTOBER 16, 2023

From integrated eligibility programs and Medicaid enterprise systems to child welfare information systems and other human service program modernizations, money has been set aside to ensure federal, state and local governments are keeping up with the ever-changing tech landscape. IESs are the technological backbone for U.S.

Healthcare 82

Healthcare Programming Hospitality Food 82

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

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

Precisely

AUGUST 29, 2024

Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Then, you can correct them before they’re introduced into an AI system. A strong data governance framework is the foundation of a comprehensive data quality solution to ensure trustworthy AI.

Data Governance 52

Data Governance Government High Quality Data Datasets 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

Knowledge Hut

JUNE 4, 2024

Data science is an interdisciplinary field that employs scientific techniques, procedures, formulas, and systems to draw conclusions and knowledge from a variety of structured and unstructured data sources. Is Data Science Useful for Business? There are several data science business ideas which are as follows: 1.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Snowflake

JULY 31, 2024

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. alone, there are more than 230 active AMCs , and a significant number are part of a health system. Each of these data types can require specialized software packages, hardware environments and data processing techniques. In the U.S.

Medical 52

Medical Healthcare Insurance Hospitality 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

JULY 26, 2023

In our technologically advanced world, we often hear about RFID blocking, a term associated with protecting our personal information. It's portrayed as a digital shield that keeps our data safe from prying eyes. The tags, which are like small chips, send out information when they come close to a reader.

IT 52

IT Electronics Data Collection Technology 52

Striim

JULY 10, 2024

In contrast, data streaming offers continuous, real-time integration and analysis, ensuring predictive models always use the latest information. Lastly, predictive models generate forecasts and risk assessments that business leaders use to inform decision-making processes. Here’s the process.

Management 52

Management Transportation Machine Learning High Quality Data 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 Coding 52