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

MAY 2, 2024

Automation and machine learning have changed our lives. From self – driving Cars, robots, image recognition, diagnostic assessments, recommendation engines, Photo Tagging, fraud detection and more, the future for machine learning and AI is bright and full of untapped possibilities. Why do I need to Learn Math?

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 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. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Building 130

Building IT Metadata MongoDB 130

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. No front-end experience is needed and apps are written in pure Python.

Python 116

Python Building Cloud Amazon Web Services 116

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

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. People working as full stack data scientists are responsible for implementing the project from start to finish. What is Data Science? Who Is a Full-Stack Data Scientist?

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

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Kafka Scala Java Amazon Web Services 98

Knowledge Hut

MAY 2, 2024

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? As you move across this post, you would get a comprehensive idea of various aspects that you ought to know about machine learning. What is Machine Learning and Why It Matters?

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

Knowledge Hut

APRIL 23, 2024

What does your company do? Data plays a crucial role in identifying opportunities for growth and decision-making in today's business landscape. Business intelligence collects techniques, tools, and methodologies organizations use to transform raw data into valuable information and meaningful insights.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Christophe Blefari

SEPTEMBER 15, 2023

Facing the News ( credits ) Hello Data News readers. Gen) AI News 🤖 Reinforcement Learning: an easy introduction to value iteration — Title says easy, but the article contains maths formula. From what I understand this performance simulator unlock capabilities in finding what are the best parameters for training.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Snowflake

OCTOBER 9, 2023

Easily collect and store digital events directly to create a complete composable customer data platform (CDP) Marketers are increasingly leveraging the Snowflake Data Cloud as the foundation for all of their customer data analytics and activation.

Cloud 97

Cloud Building SQL Data 97

Knowledge Hut

MARCH 28, 2024

These metrics are not merely numbers or data points; they are the compass that guides software development, ensuring quality, and monitoring progress. But what are software metrics, and why do they hold such significance? What are Software Metrics in Software Engineering?

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 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. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

Designing 100

Designing MongoDB AWS SQL 100

Snowflake

DECEMBER 6, 2023

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. Srini, what inspires you as a founder? I’m inspired by my family, my team and what innovation in healthcare tech can mean for us all. What prompted you to start Leap Metrics? Not for lack of caring!

Healthcare 92

Healthcare Aggregated Data Medical Data 92

Cloudera

APRIL 13, 2022

But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. So good, in fact, that machine learning (ML) algorithms can be trained to pick up patterns and anomalies that elude the human senses. . For AI or ML, it takes a few minutes. Becoming AI-first.

Data Collection 113

Data Collection Algorithm Machine Learning Education 113

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

Data Engineering Podcast

SEPTEMBER 18, 2022

Summary In order to improve efficiency in any business you must first know what is contributing to wasted effort or missed opportunities. RudderStack helps you build a customer data platform on your warehouse or data lake. Data teams are increasingly under pressure to deliver. In fact, while only 3.5%

Hospitality 100

Hospitality Food MongoDB Scala 100

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

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.  To learn more about docker, check out learning opportunities like  Docker and Kubernetes Training. What is Prometheus?

Architecture 98

Architecture Metadata Utilities Data Collection 98

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

OCTOBER 4, 2023

Let us dig deeper and discuss the curriculum covered under this training and what tools you will learn during it. You will learn about the significance of Six Sigma, its implementation, strategic project improvement and a lot more. Let us discuss the detailed curriculum with sub-topics you will learn in your Six Sigma program.

Data Collection 52

Data Collection Certification Data Analysis Programming 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

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

DoorDash Engineering

APRIL 23, 2024

When a merchant comes onboard at DoorDash, we add their internal SKU data — raw merchant data — to our retail catalog. SKU data from different merchants come in varying formats and quality; they may, for example, have missing or incorrect attribute values. Better personalization.

Building 91

Building Retail Manufacturing Unstructured Data 91

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

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

JANUARY 3, 2024

Qualitative research is one of the most widely used processes for acquiring data. It is an open-ended, exploratory method of producing knowledge that involves putting forth a theory, accumulating data, coming to judgments, and creating meaning. Subjective data gathering is a key component of qualitative research methodology.

Data Collection 52

Data Collection Hospitality Data Analysis Datasets 52

RandomTrees

DECEMBER 12, 2023

Have you ever wondered about how synthetic data get used for computer vision in practice? Or maybe, how can we generate synthetic data to enhance computer vision? Synthetic data helps us better understand the object or scene getting observed. Let’s find out more about synthetic data in detail. What is computer vision?

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Knowledge Hut

MARCH 28, 2024

Learn UI UX design online from experts and become a master of user research. User research acts as your guide, ensuring the app fits seamlessly with what users want. What are User Research Methods? These tools uncover what our users do, why they do it, and what the user needs.

Recruitment 52

Recruitment Media Data Collection Designing 52

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

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 110

Manufacturing Data Warehouse Kafka Retail 110

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. The easiest way to get started is by taking an online data science bootcamp program.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

MARCH 29, 2024

Imagine you're working on a Java project , and you need to go through a bunch of data stored in lists, sets, or maps. That's where iterators come in – they help you walk through these collections. Iterators are handy tools for lists, sets, and maps, but modifying collections while iterating can lead to trouble.

Java 52

Java Programming Data Integration Programming Language 52

ThoughtSpot

DECEMBER 19, 2023

As I reflect on the past year of The Data Chief, I continue to be filled with gratitude and inspiration. Together, we’re transforming the way data leaders, our teams, and our businesses value data. Together, we’re transforming the way data leaders, our teams, and our businesses value data.

Entertainment 97

Entertainment Data Big Data Banking 97

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. The key connection between Data Science and AI is data. What is Data Science?

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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 Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 52