Knowledge Hut

JANUARY 18, 2024

Although both Data Science and Software Engineering domains focus on math, code, data, etc., Is mastering data science beneficial or building software is a better career option? A degree like Data Science is not required to be a programmer. It is difficult to extract sense and meaning from the data unless analyzed.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 87

Data Lake Data SQL Data Warehouse 87

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

SEPTEMBER 27, 2023

This article delves into the transformative capabilities of Power BI Advanced , exploring how it empowers professionals to make informed decisions, discover hidden trends, and communicate findings effectively. Highlight your expertise in Power BI, emphasizing your proficiency in creating visually appealing and insightful data visualizations.

BI 52

BI Business Intelligence Raw Data Data Cleanse 52

Knowledge Hut

NOVEMBER 16, 2023

This article illustrates the blend between a data scientist and Azure as a cloud platform. You can learn more about Data Science course that helps you understand how to tackle complex data science problems through practical exercises. which are shaping data science applications.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Knowledge Hut

NOVEMBER 27, 2023

While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses. It is known that people from diverse backgrounds with zero experience turn out to be good data scientists in just a year through learning smart coding.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

NOVEMBER 27, 2023

Transitioning to a career in data science has become increasingly attractive in recent years. The demand for qualified data professionals continues to rise as companies recognize the value of data-driven decision-making. What Do Data Scientists Do? Common processes are: Collect raw data and store it on a server.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

dbt Developer Hub

APRIL 30, 2019

This article does not seek to instruct you on how to design a final model for your stakeholders — it won’t cover whether you should denormalize everything into one wide master table , or have many tables that need to be joined together in the BI layer. Staging models take raw data, and clean and prepare them for further analysis.

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Project Database-centric Raw Data Data Warehouse 40

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data labeling. Audio data preprocessing.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

U-Next

JUNE 27, 2023

The recent versions of pivot tables in excel are user-friendly and extremely quick. They let you aggregate, summarize, identify insights, and show a vast quantity of data in just a few clicks, as well as calculate a percentage from supplied data. Raw data is complex, and it can occasionally contain missing information.

Utilities 52

Utilities Data Analysis Raw Data Aggregated Data 52

dbt Developer Hub

MARCH 9, 2022

In this article, we’ll explore a real-life baton pass between ML engineering and analytics engineering and highlighting where things went wrong. Luckily, the Modern Data Stack is making this baton pass smoother. Here’s what happened ​ After some initial planning, I knew we had this raw data living somewhere in our data warehouse.

Machine Learning 52

Machine Learning Raw Data SQL Python 52

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. What’s a trend you see on the horizon? .

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Data Lake Analytics Application Cloud Storage Architecture 81

Edureka

JANUARY 23, 2023

Data mining is a method that has proven very successful in discovering hidden insights in the available information. It was not possible to use the earlier methods of data exploration. Through this article, we shall understand the process and the various data mining functionalities.

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Data Mining Banking Retail Medical 52

Knowledge Hut

SEPTEMBER 29, 2023

If a company wants to store customer data, this certification provides the foundational knowledge on choosing between relational or non-relational databases in Azure. Think of it as picking the best digital "storage box" for specific data types. Vaidity : The DP 900 certification validity is one year as per recent updates.

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Certification Cloud Computing Non-relational Database Cloud 52

Knowledge Hut

MAY 8, 2023

This is why data science has become increasingly popular. Data scientists are like modern-day wizards with the skills and knowledge required to transform massive amounts of raw data into useful information and insights. What is Data Science? The world is becoming more and more data-driven.

Data Science 52

Data Science Recruitment Manufacturing Healthcare 52

Ascend.io

JANUARY 3, 2023

Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible. This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand it.

Data 52

Data Data Lake Business Intelligence Big Data 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Hospitality 43

Hospitality Healthcare Machine Learning Transportation 43

Ascend.io

APRIL 12, 2023

What about data quality versus data integrity? You might be surprised that we keep referencing data integrity and not data quality, so let’s talk about why we don’t use these terms interchangeably. The broad objective is to improve data integrity and make data trustworthy and actionable for data-driven decisions.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

Monte Carlo

JULY 7, 2022

It’s becoming clear a data engineering movement is afoot as we have recently covered other organizations taking a similar approach: Convoy and Vimeo. You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.”

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Towards Data Science

FEBRUARY 9, 2024

Simultaneously, I’ve dedicated substantial effort to shaping my identity as a Data Educator, collaborating with some of the most renowned companies and prestigious universities globally. Streaming Although I briefly mentioned streaming in my 2021 article, you’ll see a renewed focus in the 2024 version.

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Building Transportation Data Lake Metadata 82

Data Engineering Weekly

JANUARY 15, 2023

Customers with the data catalogs, whether embedded or not, express three times high satisfaction with their analytical infrastructure - David Menninger. I write about how Data Catalogs are failing with the recent article Data Catalog - A Broken Promise. Data Catalogs are moving towards a feature, not a product.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

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Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

APRIL 23, 2024

Organizations are utilizing the enormous potential of big data to help them succeed, from consumer insights that enable personalized experiences to operational efficiency that simplifies procedures. How does big data actually make it happen? Go for the best Big Data courses and work on ral-life projects with actual datasets.

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Big Data Retail Recruitment Transportation 52

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics?

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

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Engineering Raw Data Data Science Scala 83

Knowledge Hut

APRIL 25, 2024

They simplify data processing for our brains and give readers a quick overview of past, present, and future performance by helping the user to visualize otherwise complex and weighty raw data. Sales may now confidently answer clients' or prospects' expectations because they know the most recent information.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

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. Data roles compared. Data modeling.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Monte Carlo

FEBRUARY 15, 2023

Data analysts and engineers can run the queries they want to run when they want to run them without worrying about excessive load times or statement timeouts. Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Yes, data warehouses can store unstructured data as a blob datatype.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Maxime Beauchemin

AUGUST 28, 2017

This post follows up on The Rise of the Data Engineer , a recent post that was an attempt at defining data engineering and described how this new role relates to historical and modern roles in the data space. Understanding and exposing the adversity that the role is facing is a first step towards finding solutions.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Monte Carlo

OCTOBER 10, 2023

There are two primary approaches to “data observability” Leveraging an open source data observability tool Purchasing a managed data observability solution In reality, open source libraries lack some of the critical features required to be considered true data observability. But what are they?

Data 59

Data Data Engineering Data Engineer Food 59

Snowflake

MARCH 21, 2023

In Snowflake’s 6 Data Science Trends in 2023 , one of the more prominent trends we identified was the emerging use of unified tools and infrastructure for SQL and Python. This knowledge-sharing ultimately creates more agile data engineering and MLprojects with better long-term results.

SQL 52

SQL Python Programming Language Scala 52

Knowledge Hut

SEPTEMBER 6, 2023

To become a Data Scientist, it is imperative that you aim for the best Data Science Certifications to start your career and be recognized in the industry. A Data Science Certification can validate your skills and expertise in the industry and demonstrate your capabilities to potential employers. Expiration - No expiry 9.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

NOVEMBER 14, 2015

The aim of this article is to mention some very common projects involving Apache Hadoop and Apache Spark. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 1. To this group, we add a storage account and move the raw data.

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Hadoop Project Big Data Healthcare 52

Zalando Engineering

MARCH 21, 2017

Our most recent product requires precise estimates of future interests of Zalando consumers based on their history of interacting with the fashion platform. For example, we want to predict a consumer's interest in ordering selected fashion articles. This necessitates frequent re-training and model deployment.

Deep Learning 52

Deep Learning Raw Data Machine Learning AWS 52

Ascend.io

JULY 28, 2023

This article aims to shed light on the essential components of successful data pipeline architectures and offer actionable advice for creating scalable, reliable, and resilient data pipelines. Ingestion: Your data pipeline architecture should anticipate a wide variety of raw data sources to be incorporated into the pipeline.

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Data Pipeline Architecture Lambda Architecture Data Architecture 52