Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Data Engineering Podcast

SEPTEMBER 18, 2019

Unfortunately this strategy is not viable for handling real-time, real-world use cases such as traffic management or supply chain logistics. explains how the SwimOS kernel and the enterprise data fabric built on top of it enable brand new use cases for instant insights. Does your company use Amazon Redshift?

Data Lake 100

Data Lake Hadoop BI Kafka 100

Data Engineering Podcast

DECEMBER 7, 2020

It is also challenging because of the number of roles and capabilities that are necessary to go from idea to delivery. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. centralized, embedded, etc.)

Building 100

Building Consulting Big Data Data Engineering 100

Scott Logic

JANUARY 9, 2024

is a deep learning Python library that is primarily used for adding higher-level functionality in standard deep learning domains. NumPy : most widely used library for scientific and numeric programming in Python. Some parts of the course (in Part 2) are very in dept and challenging. What is fast.ai ? Simply defined, fast.ai

Deep Learning 52

Deep Learning Python Machine Learning Entertainment 52

Data Engineering Podcast

DECEMBER 16, 2018

He also covers the changes in how the output of the pipelines are used, how that impacts the expectations for accuracy and availability, and some useful advice on build vs. buy for the components of a data platform. At what point in the life of a project or organization should you start thinking about building a pipeline?

Data Pipeline 100

Data Pipeline Data Lake Data Warehouse Python 100

Data Engineering Podcast

DECEMBER 14, 2020

In this episode Andrew Gross, Bobby Muldoon, and Anup Segu describe the self service data platform that they have built to allow data analysts to own the end-to-end delivery of data projects and how that has allowed them to scale their output. Go to dataengineeringpodcast.com/97things to add your voice and share your hard-earned expertise.

Data Analytics 100

Data Analytics Building MySQL Data 100

Data Engineering Podcast

JULY 28, 2019

Summary The ETL pattern that has become commonplace for integrating data from multiple sources has proven useful, but complex to maintain. Can you start by discussing the challenges and shortcomings that you perceive in the existing practices of ETL? Can you talk through an example use case?

Data Integration 100

Data Integration Metadata Media Architecture 100

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. In this episode Kent Graziano shares his journey with data vault, explains how it allows for an agile approach to data warehousing, and explains the core principles of how to use it.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Data Engineering Podcast

OCTOBER 21, 2019

In order to bridge the gap between legacy infrastructure and evolving use cases it is necessary to create a unifying set of components. It is always useful to get a broad view of new trends in the industry and this was a helpful perspective on the need to provide mechanisms to decouple physical storage from computing capacity.

Cloud 100

Cloud Data Lake Hadoop Programming Language 100

Knowledge Hut

OCTOBER 29, 2023

Hence, it's no surprise that there are plenty of Android project ideas out there for developers to choose from. Whether you are looking to create a simple app or something more complex, there's an Android project idea out there for you. What is an Android Project? Why Do You Need to Work on Android Projects?

Coding 52

Coding Project Food Hospitality 52

Knowledge Hut

JANUARY 3, 2024

From text summarization or content creation to generating high-quality images and music, Generative AI has a wide range of creative applications across various industries. Over the years, it has been able to garner immense popularity because of its open-source projects and contributions to the NLP (Natural Language Processing) community.

Healthcare 52

Healthcare Finance Food Algorithm 52

Data Engineering Podcast

AUGUST 19, 2018

Summary The way that you store your data can have a huge impact on the ways that it can be practically used. In this episode Manish Jain explains how DGraph is overcoming those limitations, how the project got started, and how you can start using it today. What are some of the common uses of graph storage systems?

Database 100

Database PostgreSQL NoSQL Transportation 100

ProjectPro

NOVEMBER 3, 2021

Access Job Recommendation System Project with Source Code Table of Contents How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias Step-2: Diversify your skills and keep them up to date Step-3: Build an attractive Project Portfolio Step-4: Start Small!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 16, 2023

Companies of all sizes use AWS, such as Airbnb, McDonald’s, Netflix, etc. However, if you are a newbie in AWS, and you want to start your career in cloud computing, it is recommended to first go for the Developer exam followed by Solutions Architect. Swap out your music with an AWS video. Instead, you can just use new apps.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Knowledge Hut

JULY 28, 2023

In the world of Supervised Machine Learning, the models train using the samples of “labelled” datasets. Continued Iteration and Improvement: As new challenges or requirements arise, the data labeling process may need to be iterated and improved to maintain or enhance the accuracy and relevance of the labeled dataset.

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Knowledge Hut

DECEMBER 27, 2023

Software developers are the great mastermind behind video games with amazing graphics or mobile and web applications that you use smoothly. Software developers design and develop applications for various technologies using several tools and talents. So, if you have the right skills, this might be the right career option for you.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

ProjectPro

JULY 26, 2021

Currently, TensorFlow has a market share of 3.56%, with more than 1910 companies already using it. why knowledge of TensorFlow is so valuable let us get started with a few cool TensorFlow projects idea that. Detecting Spam using TensorFlow 2. Optical Character Recognition using TensorFlow 4.

Project 40

Project Deep Learning Medical Datasets 40

Pandora Engineering

DECEMBER 5, 2018

Photo credit: Carol Yepes Last month Pandora announced a public podcast beta in conjunction with the Podcast Genome Project. The goal of this article will be to examine our legacy approach to audio sequencing, the factors that led us to a new design, implementation, and what this means for the future of media playback here at Pandora.

Media 52

Media Algorithm Coding Data Science 52

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.”

Big Data 52

Big Data Hadoop Insurance Media 52

Data Engineering Podcast

JUNE 17, 2023

In data systems one of the core architectural exercises is data modeling, which can have significant impacts on what is and is not possible for downstream use cases. What are the modeling practices that you have found to be most useful in large and complex data environments? RudderStack also supports real-time use cases.

Data Lake 130

Data Lake Metadata Data Architecture Machine Learning 130

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. It finds insights in data using approaches from neural networks, statistics, operations research, etc., Have you ever used Pinterest and wondered how it manages to deliver relatable content consistently?

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 16, 2023

Generative AI models primarily work by leveraging neural networks and machine learning techniques to generate content, be it texts, images, music, or other formats of data. Following this, these models make use of a complex computing process, which we refer to as deep learning, to identify common patterns and characteristics in those data.

Medical 52

Medical Datasets Healthcare Finance 52

ProjectPro

FEBRUARY 24, 2022

In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. From converting spoken words to text, live translation, applications in voice-controlled IoT devices to using audio and music for analysis or filtering, audio data has wide-ranging applications in daily life.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

Knowledge Hut

MARCH 19, 2024

Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. So, let's discuss the AWS cloud migration case study and its importance in getting a better understanding of the topic in detail.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Data Engineering Podcast

JULY 16, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You listen to this show to learn about all of the latest tools, patterns, and practices that power data engineering projects across every domain. Supercharge your business teams with customer data using Hightouch for Reverse ETL today.

High Quality Data 100

High Quality Data Data Engineering Data Engineer Coding 100

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Data Engineering Podcast

MARCH 25, 2019

Summary Data integration is one of the most challenging aspects of any data platform, especially as the variety of data sources and formats grow. I highly recommend listening closely to his explanation of how they manage consistency of the data that they process across different storage backends.

Building 100

Building Data Lake Machine Learning Kafka 100

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Thus, data is the golden goose in machine learning.

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

JANUARY 2, 2024

To communicate, software applications use Application Programming Interfaces or APIs. History of Rest API There was no agreement on how to develop or use an API before 2000. In a client-server connection, REST recommends creating an object of the data requested by the client and sending the object's values back to the user.

Java 52

Java Architecture Programming Programming Language 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

MARCH 4, 2019

Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that continuously broadcasts tons of events before they start mining it to create music out of simply noise. Cloud is one of the key drivers for innovation. CTO of CloudBank.

Cloud 88

Cloud Banking Kafka NoSQL 88

ProjectPro

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ?

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Monte Carlo

MARCH 2, 2023

There is also a mechanism for decoupling the data architecture to avoid using production data or change data capture (CDC) events directly. Understanding the key assets also helps avoid the, “You’re Using THAT Table?!?” Hint: data product managers are useful here. Data SLAs You can’t improve what you don’t measure.

Food 52

Food Data SQL Data Pipeline 52

ProjectPro

OCTOBER 20, 2021

We will try to use as many visual aids and examples to answer to apply them in multiple scenarios and interviews. Following are some of the popular ways to implement AutoML: Auto-SkLearn : Scikit-learn is a package that every data scientist has used. Essentially, it is using pre-trained models and customizing them for your use case.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

NOVEMBER 7, 2016

Case Studies of Hadoop Architecture Facebook Hadoop Architecture Yahoo Hadoop Architecture Last.FM What is Hadoop used for? However, the implementation of Hadoop in production still suffers from deployment and management challenges like scalability, flexibility, and cost-effectiveness. Which architecture Hadoop is based on?

Hadoop 40

Hadoop Architecture IT Big Data 40