ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Science Blog: Data Engineering

SEPTEMBER 24, 2021

Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers.

Data Lake 52

Data Lake Data Warehouse Data Transparency Database 52

ProjectPro

FEBRUARY 15, 2023

Data and business are the two powerful forces driving the modern world. Data is the collection of values and facts that tell a story and the other (business) is the engine of commerce and innovation. Read this blog on data analyst vs business analyst to uncover the mystery of both rolesand the differences that set them apart.

Business Analyst 52

Business Analyst Data Mining Big Data Data 52

Data Engineering Podcast

JUNE 24, 2019

Summary Building a data platform that works equally well for data engineering and data science is a task that requires familiarity with the needs of both roles. Data engineering platforms have a strong focus on stateful execution and tasks that are strictly ordered based on dependency graphs.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Science 100

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. It is widely used in robotics and games.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. Different organizations have tried a multitude of organizational strategies to improve the success rate of these data teams with varying levels of success.

Building 100

Building Consulting Big Data Data Engineering 100

Towards Data Science

DECEMBER 1, 2023

Today, many vectors are embeddings generated by deep neural nets like GPTs and CLIP to represent data points such as pieces of text, images, or audio tracks. Many vector databases are now measuring their performance using this approach in their tech blogs. Indexing throughput measures how fast the ANN index can accept new data points.

Database 52

Database Algorithm Datasets Kafka 52

ProjectPro

SEPTEMBER 27, 2021

Are you tired of searching the web for ‘correlation vs. covariance’ to understand the two terms better? If yes, read this article that compares correlation vs. covariance and explains the two popular statistical tools in detail. They rely on data science algorithms to understand customer behavior, predict sales, etc.

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. The purpose of ETL is to provide a centralized, consistent view of the data used for reporting and analysis. What is an ETL Developer?

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Join us on a thrilling exploration of the critical Business Intelligence Engineer job role and its impact on the modern business landscape in the big data world.

Business Intelligence 52

Business Intelligence Engineering BI Data Warehouse 52

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Cloud 131

Cloud Kafka Professional Services Metadata 131

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 25, 2021

Specifics of data used in NLP. Here are some big text processing types and how they can be applied in real life. Low-level vs high-level NLP tasks. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Main NLP use cases.

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Process Deep Learning Datasets Machine Learning 139

ProjectPro

FEBRUARY 17, 2022

What's the difference between Feature Selection vs. Feature Extraction? Continue reading this blog to know more about them. Feature Selection Methods in Machine Learning The blog will first introduce the definition of feature selection; then, you will find a section highlighting their importance.

Machine Learning 52

Machine Learning Algorithm Datasets Banking 52

ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

Scala 52

Scala Programming Language Java Hadoop 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

SEPTEMBER 29, 2021

In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. So, if you are a beginner in Data Science who wants to learn the basics of python, this book can help you there. We have listed practical applications that you must attempt to master the subject.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

JULY 12, 2021

The demand for data-related roles has increased massively in the past few years. Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. The role of an AI engineer is relatively new in the data industry.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Advancing Analytics: Data Engineering

MARCH 5, 2019

SQLBits is the UK's largest Microsoft Data Platform conference. This year was "The Great Data Heist" - a 1920s speakeasy. There was a core theme to the conference which was "Data Never Rests". The ways in which we process data is changing, we need to work with more data in heterogeneous formats.

Deep Learning 52

Deep Learning Big Data Machine Learning Data Science 52

ProjectPro

FEBRUARY 5, 2022

This blog introduces the concept of time series forecasting models in the most detailed form. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. A time series refers to a collection of data points whose values can be represented as a function of time.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

SEPTEMBER 27, 2021

This blog contains OpenCV project ideas for beginners and intermediate professionals. OpenCV is an open-source computer vision library that experts in the Data Science industry widely use. BIg-tech giants like Google, IBM, Intel, Microsoft, etc., Table of Contents What is OpenCV?

Project 52

Project Deep Learning Algorithm Food 52

ProjectPro

FEBRUARY 11, 2021

That’s very savvy because machine learning engineers are the Swiss Army Knife of the data world. Before we forget, we want to make sure you know about our end-to-end solved data science and machine learning projects that are designed to help any mid-career professional kick-start their machine learning career.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Towards Data Science

JANUARY 5, 2024

Data Science Better Practices, Part 2 — Work Together You can’t just throw more data scientists at this model and expect the accuracy to magically increase. Photo by Joseph Ruwa: [link] (Part 1 is here) Not all data science projects were created equal. This blog post is in no way promoting reinventing the wheel.

Data Science 78

Data Science Datasets Data Machine Learning 78

ProjectPro

FEBRUARY 4, 2022

Let’s break that statement down: Models are the output of an algorithm run on data, including the procedures used to make predictions on data. Self-attention ensures that as the model goes through each of the words sequentially in the training data, it looks at the input text for hints that can assist in encoding the word better.

Algorithm 52

Algorithm Banking Architecture Project 52

ProjectPro

FEBRUARY 24, 2016

What’s the average data scientist salary in 2023? How much does a data scientist make? Do data scientists make a lot of money? FAQs on Data Scientist Salary Data Scientist Salary: What to Expect A data scientist has a very comprehensive job. job score) and worth paying attention to in 2023 and beyond.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

JUNE 29, 2016

A quick search for the term “learn hadoop” showed up 856,000 results on Google with thousands of blogs, tutorials, big data application demos, online MOOC offering hadoop training and best hadoop books for anyone willing to learn hadoop.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 17, 2016

With all these proven facts – it is absolutely necessary to create the perfect LinkedIn profile, in order to secure the right job to start your career in Big Data analytics. 92% of the jobs are posted on LinkedIn vs. 39% on Twitter and 48% on Facebook.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Rockset

SEPTEMBER 25, 2020

From a developer perspective, MongoDB is a great solution for supporting modern data applications. Nevertheless, developers sometimes need to pull specific workflows out of MongoDB and integrate them into a secondary system while continuing to track any changes to the underlying MongoDB data. first = oplog.find().sort('$natural',

MongoDB 52

MongoDB Kafka Database NoSQL 52

DoorDash Engineering

FEBRUARY 15, 2023

This offers very little flexibility and caps our ability to optimize wait times The merchant efficiency teams started noticing that more and more merchants were notifying us about Dashers waiting at stores Continuous data exploration identified that we are far from optimizing the time the Dashers spent waiting on orders to be prepared.

Food 72

Food Machine Learning Architecture Building 72

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Knowledge Hut

JANUARY 24, 2024

Step into the realm of data visualization with a comprehensive exploration of Power BI and Tableau. In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. We are talking about tableau vs power bi market share using features, interfaces and performance.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

AltexSoft

JANUARY 26, 2022

As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

FEBRUARY 25, 2022

The blog starts with an introduction to MLOps, skills required to become an MLOps engineer, and then lays out an MLOps learning path for beginners. Usually, data scientists do not have a strong background in engineering and cannot thus follow DevOps norms. These steps are: Cleaning the data and handling different file formats.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Table of Contents Linear Regression vs Logistic Regression - How are they related ? Table of Contents Linear Regression vs Logistic Regression - How are they related ?

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52