Knowledge Hut

APRIL 23, 2024

How does big data actually make it happen? Whether you know it or not, this article will help you understand how companies ride the big data wave without merely getting stuck by the massive volume. Go for the best Big Data courses and work on ral-life projects with actual datasets.

Big Data 52

Big Data Retail Recruitment Transportation 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.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Labeling of audio data in Audacity.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

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

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? It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Knowledge Hut

JANUARY 22, 2024

In this article, we will talk about why data visualization design is essential and how you can create a clear visualization. Data visualization design has become one of the most demanded skills in the data science industry. Assume you have 10,000 rows of daily sales data. You cannot process this raw data.

Designing 52

Designing BI Raw Data Data 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.

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Data Lake Data SQL Data Warehouse 83

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

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

DoorDash Engineering

APRIL 12, 2023

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. After considering the aforementioned factors and studying other existing metric frameworks, we decided to adopt standard BI data models.

SQL 82

SQL Metadata Raw Data Government 82

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

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

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. Their role entails transforming, testing, and documenting data.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

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.

Data Mining 52

Data Mining Banking Retail Medical 52

Rockset

JANUARY 5, 2022

A good number of organizations have moved on from SQL databases, thinking there is no possibility that they could meet the demanding requirements of modern data applications. We’ll examine some commonly held misconceptions regarding SQL databases in this article. But nothing could be further from the truth.

Database 52

Database SQL NoSQL Raw Data 52

U-Next

JUNE 27, 2023

Uses of Pivot Table Pivot Tables are most efficiently utilized to summarize data at a high level. Pivot tables can, given an input dataset of the client, arrange data by date. The recent versions of pivot tables in excel are user-friendly and extremely quick. Let’s consider a typical scenario of sales.

Utilities 52

Utilities Data Analysis Raw Data Aggregated Data 52

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

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 5.

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Data Science Certification Business Analyst Machine Learning 97

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? Why is Data Science Important?

Data Science 52

Data Science Recruitment Manufacturing Healthcare 52

AltexSoft

NOVEMBER 10, 2021

Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse vs data lake vs data lakehouse: What’s the difference. Data warehouse. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Monte Carlo

AUGUST 19, 2023

With companies moving their data platforms to the cloud, the emergence of cloud-native solutions ( data warehouse vs data lake or even a data lakehouse ) have taken over the market, offering more accessible and affordable options for storing data relative to many on-premises solutions. Is it properly formatted?

Building 52

Building BI Data Lake Data Governance 52

ProjectPro

SEPTEMBER 16, 2021

This article will go through a few end-to-end data science project ideas to explain how MLOps can be leveraged to build a production-ready data science project. SweetViz : SweetViz is a fantastic package to perform exploratory data analysis designed by a graphic designer.

Project 52

Project Amazon Web Services Machine Learning Data Science 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

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

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming 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. Scalability 4.Link

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Hadoop Project Big Data Healthcare 52