ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

phData: Data Engineering

JULY 12, 2022

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts. What Is Data Modeling?

Data Engineering 52

Data Engineering Data Engineer SQL Data 52

Knowledge Hut

AUGUST 18, 2023

Alternatively, if you intend to specialize in big data, a certification in AWS's Big Data specialty could be ideal. In my early career, I knew that getting certified in AWS would be essential for success. Now that I have obtained multiple AWS certifications, I can vouch for their value to professionals & companies alike.

AWS 52

AWS Certification Amazon Web Services Cloud 52

Workfall

FEBRUARY 28, 2023

It is trained to generate human-like text and is based on the GPT-3 (Generative Pre-trained Transformer) architecture. The model is trained on a massive text dataset before being fine-tuned for specific tasks such as: Translation of a language Summarization of text Debugging code Answering questions, and so on.

Datasets 62

Datasets Coding Algorithm Technology 62

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 21, 2021

You can easily appreciate this fact if you start recalling that the number of websites or mobile apps, you’re visiting every day, are using NLP-based bots to offer customer support. Hands-on experience with cloud-based platforms such AWS, Azure. Good knowledge of commonly used machine learning and deep learning algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

AltexSoft

OCTOBER 25, 2021

This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. This structure allows physicians and other software systems easily locate needed data, share it, and analyze it, basically — make use of it. Unstructured data is unavoidable, yet extremely valuable.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. Recommender System Projects Have you ever seen movies or web series on online streaming platforms?

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Frequently Asked Questions What are the most popular and best Machine Learning Projects on Github? If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

nodeSWAT

MARCH 30, 2016

Relearn Access Control When asking developers to name different access control methods, the usual answer seems to be ACL and RBAC. If you answered this question the same way, then you are also among the misinformed. Our aim, as usual, is to make the web a securer place for everyone. So let’s get started. Well there isn’t any.

Accessible 52

Accessible Accessibility Systems Database 52

The Pragmatic Engineer

NOVEMBER 21, 2023

To answer this big question, I turned to an industry veteran who’s been there, seen it, and done it – and is still active in the game.   He then worked at the casual games company Zynga, building their in-game advertising platform. Joshua has remained technical while working as an executive.

Engineering 283

Engineering Bytes Cloud Computing AWS 283

Snowflake

APRIL 7, 2023

The 2023 submission pool was the largest to date—twice as many submissions as last year—with entries that spanned not just the globe but the breadth of the Snowflake platform. DQLabs DQLabs is an automated, modern data quality platform that delivers reliable and accurate data for better business outcomes.

Raw Data 108

Raw Data Portfolio Building SQL 108

AltexSoft

MAY 5, 2023

The short-term rentals (STR) market has been expanding rapidly in recent years, with popular vacation rental platforms like Airbnb, Booking.com, and VRBO transforming how people travel and lodge. These networks can assimilate intricate patterns and representations from vast amounts of data.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

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. However, several questions may arise for an individual. What is Data Science? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

SEPTEMBER 1, 2023

One of the stars taking center stage at the Databricks’ Data + AI Summit this year was their latest data quality feature, Lakehouse Monitoring. As we’ve been saying for years: to achieve stakeholder trust, data teams need a comprehensive understanding of the health and performance of data within their systems!

BI 52

BI Data Pipeline Data Data Lake 52

Ascend.io

APRIL 5, 2023

The data landscape evolves at an astonishing pace. New tech, new best practices, and new roles are constantly emerging and changing the way teams create value from data. Over the last few years, tools and platforms in the data space have been removing the burden of managing and maintaining outdated architectures and codebases.

Engineering 52

Engineering Raw Data BI Software Engineer 52

AltexSoft

OCTOBER 26, 2023

Deep learning , a subfield of machine learning , leverages artificial neural networks that excel in analyzing large volumes of data. LLMs are trained on large collections of text data and can be applied to a range of NLP tasks. What is AI coding? Five use cases of generative AI in business. Boosted productivity.

Coding 52

Coding Programming Language Deep Learning Java 52

dbt Developer Hub

APRIL 16, 2023

At Roche, getting the right tools in the hands of our teammates was critical to our ability to grow our data team from 10 core engineers to over 100 contributors in just two years. to quickly scale our data platform. dbt Cloud catalyzed their contribution to the platform.

Cloud 59

Cloud Architecture Data Pipeline SQL 59

Edureka

JANUARY 12, 2024

Explore our list of the top 40 Full Stack Developer Interview Questions to ace your next tech interview! With that in mind, it is one of the most sought job profiles among developers, so the full stack developer interview questions are going to be advanced too. What questions will I be asked in a Full Stack developer interview?

NoSQL 52

NoSQL Java MongoDB Programming 52

AltexSoft

OCTOBER 30, 2021

It’s hard to give a solid answer, right? Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. How about Edison?

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

MAY 30, 2022

Besides that, customers want timely responses to whatever questions they have. In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. A common bot response to an unforeseen scenario.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

AltexSoft

JUNE 26, 2023

All successful companies do it: constantly collect data. While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Towards Data Science

JULY 24, 2023

While there is no right answer, there is likely a sweet spot for most organizations’ data platforms. Photo by Kelly Sikkema on Unsplash Data engineers discovered the benefits of conscious uncoupling around the same time as Gwyneth Paltrow and Chris Martin in 2014. Read on to see where that might be.

Metadata 97

Metadata Data Warehouse Data Lake Data Science 97

AltexSoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Pinterest Engineering

SEPTEMBER 5, 2023

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. Both ML and ML platform engineers felt the full brunt of this issue.

Engineering 92

Engineering Deep Learning Architecture Project 92

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Table of Contents Why Must You Prepare For Azure Interview Questions? Why Must You Prepare For Azure Interview Questions? So, let's dive right into it! Where can I find Azure projects/project ideas to enhance my skills?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

SEPTEMBER 16, 2021

87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Jobs over the next decade will be built on top of Data Science, but for production. Table of Contents What is MLOps ?

Project 52

Project Amazon Web Services Machine Learning Data Science 52

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed?

Kafka 109

Kafka AWS Architecture Cloud 109

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

AUGUST 18, 2021

Making a career transition into data analysis and visualization? Ace your next data analyst interview with these Tableau interview questions and answers that cover all the important topics and concepts in Tableau. Around 90% of companies rely on data visualizations produced using Tableau.

BI 40

BI Database-centric SQL Software Engineer 40

Rockset

NOVEMBER 6, 2019

In this blog, we will examine the use of three different data backends for event data - Apache Druid , Elasticsearch and Rockset. In this blog, we will examine the use of three different data backends for event data - Apache Druid , Elasticsearch and Rockset.

Kafka 40

Kafka Data Lake SQL Hadoop 40

ProjectPro

NOVEMBER 11, 2021

It's not enough to transform a picture into pixels and then figure out what's going on in the image through those pixels; one must first understand how to extract data from those pixels and what they depict. You've come to the right place if these questions seem familiar. Learn Python for Computer Vision 2.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52