ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science?

Java 52

Java Data Science Python Programming Language 52

U-Next

SEPTEMBER 29, 2022

Big Data has evolved as a prominent element in the IT world today thanks to the advanced analytics and outcomes companies gain. Data Analyst and Data Scientist are two of the most in-demand, high-paying Big Data careers. There is an increased demand for data professionals. . Data Analytics . Criteria .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Knowledge Hut

MARCH 18, 2024

Thinking about working as a data analyst or project manager? Both data analytics and project management are pivotal fields in the business world, with data analysts and project managers each fulfilling indispensable roles within their respective domains. What is Data Analytics? What is Project Management?

Data Analytics 52

Data Analytics Project Management Programming Language 52

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

ETL Tools 78

ETL Tools Programming Language Datasets Data Pipeline 78

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

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

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

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

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

AltexSoft

AUGUST 25, 2021

Humans have been trying to make machines chat for decades. But despite failing to understand us in some instances, machines are extremely good in making sense of our talking and writing in other examples. Keep reading to learn: What problems NLP can help solve. Specifics of data used in NLP. Main NLP use cases.

Process 139

Process Deep Learning Datasets Machine Learning 139

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

ProjectPro

FEBRUARY 17, 2022

Similarly, in Machine learning, selecting the correct number of features for fitting a predictive model to a given dataset is essential. Table of Contents Feature Selection Methods in Machine Learning What is Feature Selection in Machine Learning? Use various feature selection techniques in machine learning.

Machine Learning 52

Machine Learning Algorithm Datasets Banking 52

Towards Data Science

OCTOBER 17, 2023

In this blog we take a technical deep dive into the cost and performance of their serverless SQL warehouse product by utilizing the industry standard TPC-DI benchmark. We hope data engineers and data platform managers can use the results presented here to make better decisions when it comes to their data infrastructure choices.

SQL 52

SQL Cloud Data Science AWS 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

Cloudera

JANUARY 13, 2021

Read the first blog here. Let’s start with the data frame we loaded in our ‘hbase.column.mappings’ example above. Views are essentially for use-cases that depend on the most updated data from HBase. java.lang.ClassNotFoundException: Failed to find data source: org.apache.hadoop.hbase.spark. Conclusion.

Machine Learning 52

Machine Learning Data Science Database Scala 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 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to become good at Statistics for Machine Learning?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

AltexSoft

SEPTEMBER 19, 2023

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. We will examine key data sources, real-world use cases, and how to approach analytics in travel. Travel data: external and internal sources. geolocation, profiles, and feedback.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

JANUARY 11, 2022

“Machine Learning” is one of the most trending buzzwords. They are built using Machine Learning algorithms. While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Table of Contents Machine Learning Classification vs. Regression What is Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Food 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. What is an AI Engineer? What does an AI Engineer do?

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

NOVEMBER 18, 2023

Welcome to our blog that will walk you through the world of amazing AI models – different AI model types, impacts on various industries, and great AI model examples of their transformation power. AI models are like smart detectives that analyze data; they search for patterns and predict in advance. What Makes an AI Model Work?

Medical 52

Medical Machine Learning Datasets Algorithm 52

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 Is it actually worth pursuing?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. There is a preferred workflow to guide a user through the steps of data preparation, analysis and visualisation but this workflow is not mandatory. Historically, Tableau was known for easy data visualisation.

BI 52

BI Business Intelligence Cloud AWS 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. And, what could be a better project idea than building your own customised painting application to learn OpenCV.

Project 52

Project Deep Learning Algorithm Food 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

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. Below you will find simple projects on data mining that are perfect for a newbie in data mining.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Cloudera

MAY 2, 2018

Qonnections is the premier Business Intelligence (BI) conference that brings data lovers together to share insights and discover data in new ways. The post Disrupting Everything in BI Analytics appeared first on Cloudera Blog.

BI 45

BI Business Intelligence Software Engineer Software Engineering 45

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

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

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 4, 2022

With machine learning taking some significant leaps in the early 2010s, model creation and prediction have been refined to mirror human understanding of linguistic expressions. 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.

Algorithm 52

Algorithm Banking Architecture Project 52

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.

Data Science 78

Data Science Datasets Data Machine Learning 78

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