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 76

ETL Tools Programming Language Datasets Data Pipeline 76

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

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

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

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

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.

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Building Consulting Big Data Data Engineering 100

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

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

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

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

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

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

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

AltexSoft

SEPTEMBER 19, 2023

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. Travel data: external and internal sources.

Hospitality 52

Hospitality Machine Learning Data Governance BI 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

Cloudera

JUNE 7, 2021

In October of 2020 Cloudera acquired Eventador and Cloudera Streaming Analytics (CSA) 1.3.0 The team’s focus turned to bringing Flink Data Definition Language ( DDL) and the batch interface into SSB with that completed. But in the trenches, as data practitioners, we wanted more. makes building these data products a snap.

SQL 63

SQL Manufacturing Finance Architecture 63

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 44

BI Business Intelligence Software Engineer Software Engineering 44

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

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

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

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

Knowledge Hut

MARCH 12, 2024

This blog post aims to assist software engineers considering a transition to product management by providing straightforward explanations. Skill Difference: Software engineers require strong technical skills in programming languages, algorithms, data structures, and software development methodologies. But why is this happening?

Software Engineer 52

Software Engineer Software Engineering Engineering Management 52

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 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

DoorDash Engineering

FEBRUARY 15, 2023

Once the merchant is onboarded, our merchant and analytics teams will work to define which stores should be defined as AOR stores, and what the release distance should be for each store. The MVP is driven mostly by our strategy and analytics team, and we relied on engineering to make the needed architectural updates.

Food 72

Food Machine Learning Architecture Building 72

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

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

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. will be most sought after in the IT industry than those who work on legacy code.

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

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

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

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

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 104

Systems Hadoop Unstructured Data Media 104

AltexSoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. 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. What an analytics engineer is. What is an analytics engineer?

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Knowledge Hut

JULY 7, 2023

Artificial Intelligence (AI) Java developers are increasingly integrating AI into their projects for data analytics and task automation. VS Code Adoption VS Code or Visual Studio Code editor is a free multi-language coding editor. VS Code has several plugins that make coding easier.

Java 97

Java Technology Scala Programming Language 97

dbt Developer Hub

OCTOBER 17, 2022

For years working in data and analytics engineering roles, I treasured the daily camaraderie sharing a small office space with talented folks using a range of tools - from analysts using SQL and Excel to data scientists working in Python. This is especially useful in conjunction with data science use-cases.

SQL 52

SQL Python Programming Language Data Analysis 52