Knowledge Hut

FEBRUARY 1, 2024

While building predictive models, if your results aren’t satisfactory, then the two things that can go wrong are data or models. Choosing the right data is the first step in any data science application. Then comes the data format. Data cleaning in data science plays a pivotal role in your analysis.

Data Science 52

Data Science Process Data Cleanse Datasets 52

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. Ona is a company that is building technologies to support mobile data collection, analysis of the aggregated information, and user-friendly presentations.

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

Process 87

Process Data Lake Systems Bytes 87

Knowledge Hut

MARCH 29, 2024

With the affinity map UX design tool, scattered thoughts become structured plans, enhancing the design process and making it more satisfying. Through this process, patterns are formed, which can later be used for better decision-making and problem-solving. This collaborative grouping process improves the problem-solving process.

Process 52

Process Designing Unstructured Data Raw Data 52

Knowledge Hut

JANUARY 19, 2024

Likewise, process owner in Six Sigma is trained to comprehend and fulfil their duties and responsibilities while working on a particular project. A lean Six Sigma process owner definition is ought to be part of any discourse of continuous improvement as the process owner serves as a project advocate and make changes.

Process 52

Process Certification Utilities Recruitment 52

Knowledge Hut

JANUARY 30, 2024

IT service lifecycle processes and stages are covered in five books that have been revised several times over the years. All professionals who want to take the exam for the ITIL 4 Foundation Certification must have a thorough understanding of the ITIL 4 framework and ITIL processes list.

Process 52

Process Certification Portfolio Telecommunication 52

Data Engineering Weekly

MAY 8, 2023

Your colleague, Helen from finance, optimistically informs you that this should be easy since all the data has been entered into the company's databases. Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone.

Process 52

Process Banking Raw Data Finance 52

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Analytics Vidhya

MARCH 5, 2023

A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.

Hadoop 246

Hadoop Data Collection Cloud Systems 246

Snowflake

SEPTEMBER 18, 2023

As data continues to become more complex, it is critical to have effective ways to present this information. With the explosion of AI/ML, users want to be able to interact with their data and ML models. However, building such data apps has not been easy. Together, they built over 5,000 apps.

Python 116

Python Building Cloud Amazon Web Services 116

Data Engineering Podcast

OCTOBER 8, 2023

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Insurance 162

Insurance BI SQL Machine Learning 162

Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Your first 30 days are free!

Building 147

Building Data Lake High Quality Data Machine Learning 147

Christophe Blefari

SEPTEMBER 15, 2023

Facing the News ( credits ) Hello Data News readers. If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. — Hugo propose 7 hacks to optimise data warehouse cost.

Data Warehouse 130

Data Warehouse Data SQL Python 130

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

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. This is where Data Science comes into the picture.

Algorithm 98

Algorithm Raw Data Computer Science Data Science 98

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 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 in Data Mining? .

Data Mining 40

Data Mining Process IT Raw Data 40

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? 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.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

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? What are the Benefits of Big Data?

Big Data 97

Big Data Entertainment Transportation Banking 97

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 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

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.

Building 52

Building Raw Data Food Data 52

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Towards Data Science

AUGUST 29, 2023

Data Quality Chronicles Missing data, missing mechanisms, and missing data profiling Missing Data prevents data scientists to see the entire story the data has to tell. One of them was, unsurprisingly, Missing Data. Photo by Ronan Furuta on Unsplash. Image by Author. Let’s consider an example.

Datasets 106

Datasets Machine Learning Data Data Science 106

Monte Carlo

JANUARY 10, 2024

What happens when you strip away all the noise of queries and pipelines and focus on the data itself? You get down to the intrinsic data quality. What’s the difference between intrinsic and extrinsic data quality? Intrinsic data quality is the quality of data assessed independently of its use case. Data Auditing 5.

Data Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 52

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. A robust data infrastructure is a must-have to compete in the F1 business.

Data Engineering 87

Data Engineering Data Engineer Engineering Data Lake 87

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Snowflake

DECEMBER 6, 2023

In this edition, learn how Srini Gorty, Founder and CEO of Leap Metrics, turned his first-hand experience with healthcare data difficulties into a passion for making healthcare data an active, vital piece of every patient and provider interaction. What’s the coolest thing you’re doing with data? Not for lack of caring!

Healthcare 91

Healthcare Aggregated Data Medical Data 91

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

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. But, whether your data resides in a warehouse, lake, lakehouse, or on-prem, it’s important to take the time to assess the accuracy of your organization’s data.

Datasets 52

Datasets Data Pipeline BI Data 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 106

Manufacturing Data Warehouse Kafka Retail 106

Airbnb Tech

NOVEMBER 28, 2023

By: Clark Wright Introduction These days, as the volume of data collected by companies grows exponentially, we’re all realizing that more data is not always better. In fact, more data, especially if you can’t rely on its quality, can hinder a company by slowing down decision-making or causing poor decisions.

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

Snowflake

JANUARY 18, 2024

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

Manufacturing 86

Manufacturing Unstructured Data Cloud Architecture 86

Databand.ai

JULY 3, 2023

What is Data Reliability and How Observability Can Help Helen Soloveichik July 3, 2023 What is data reliability? Data reliability looks at the completeness and accuracy of data, as well as its consistency across time and sources. Data reliability is one element of data quality. Is it complete?

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52