Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

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Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

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Knowledge Hut

MAY 1, 2024

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture.

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Algorithm Data Science Computer Science Raw Data 98

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value.

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Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

JANUARY 18, 2024

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. What is Data Science? Get to know more about SQL for data science.

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Software Engineering Software Engineer Data Science Engineering 97

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

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Raw Data Utilities Government Data 75

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Data Engineering Data Engineer Engineering Hadoop 98

U-Next

FEBRUARY 26, 2023

Introduction The Human Resources field is becoming more data-driven. HR leaders have begun to use people management software to track, administer, and assess employee data to make more knowledgeable choices about their People Strategy. This data can assist in monitoring vulnerabilities before they become major difficulties.

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Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

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Data Science Deep Learning Business Analyst Data Mining 98

AltexSoft

MAY 12, 2022

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. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. What is audio data? Audio data file formats.

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Machine Learning Building Deep Learning Healthcare 122

Monte Carlo

MARCH 12, 2025

Data lakes turned into swamps , pipelines burst, and just when you thought youd earned a degree in hydrology, someone leaned in and whispered: Delta Lake. Are we building data dams next? Lets break it down and see when a plain data lake works and when youll want the extra reliability of Delta Lake. What is a data lake used for?

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Data Lake Raw Data Media Unstructured Data 52

Data Engineering Weekly

FEBRUARY 26, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. I believe Data Contract is a technology solution to bring organizational change.

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Data Engineering Data Engineer Engineering Raw Data 57

Knowledge Hut

JULY 4, 2023

Pattern recognition is a field of computer science that deals with the automatic identification of patterns in data. This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. What are Patterns in Terms of Data?

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Data Engineering Weekly

MAY 8, 2023

Your colleague, Helen from finance, optimistically informs you that this should be easy since all the data has been entered into the company's databases. Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone.

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Process Banking Raw Data Finance 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do?

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Data Process Process Data Cleanse Data Mining 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

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Data Lake Building Raw Data ETL Tools 52

The Modern Data Company

APRIL 15, 2024

Data is vital to business but the process of getting from data to insights is often murky. With this in mind, let’s explore how to demystify the process of building your data-driven strategy, making it accessible and actionable. This analogy rings especially true in the world of data. It matters a lot.

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Building Raw Data Food Data 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

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Data Lake Data Warehouse Unstructured Data Raw Data 52

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This ensures the reliability and accuracy of data-driven decision-making processes.

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Data Pipeline Bytes Data Collection Data Storage 52

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. Automate article recommendation generation through Databricks built-in job scheduler.

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Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. Automate article recommendation generation through Databricks built-in job scheduler.

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Consulting Systems NoSQL Raw Data 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. Aggregation of data is useful in this situation.

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Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion? Why Data Ingestion is Important?

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Knowledge Hut

FEBRUARY 7, 2023

Data science has become one of the most promising careers today. A lot of experienced professionals from different fields look to transition into a data science role, while fresh graduates aspire to land their first break into the world of data science. There are three popular programming languages used in data science.

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Data Science Datasets SQL Certification 52

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Facial reorganization, social media optimization, etc.

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Machine Learning Data Engineering Data Engineer Engineering 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 Engineer vs Data Scientist: Which is better?

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Data Engineering Data Engineer Engineering Data Science 52

Ascend.io

JANUARY 2, 2024

Getting your hands on the right data at the right time is the lifeblood of any forward-thinking company. But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. What Is a Data Pipeline? But our journey doesn’t end there.

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Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Data Science Data Mining Deep Learning Programming Language 98

Sync Computing

NOVEMBER 7, 2024

Data is central to modern business and society. Depending on what sort of leaky analogy you prefer, data can be the new oil , gold , or even electricity. Of course, even the biggest data sets are worthless, and might even be a liability, if they arent organized properly.

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Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Knowledge Hut

JANUARY 23, 2024

Welcome to the exciting world of data science, where numbers are like magic keys unlocking amazing discoveries! It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." Let's unravel the magic of math that makes data science a total game-changer!

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Data Science Algorithm Raw Data Data 52

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute.

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Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.

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Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

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ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

JANUARY 24, 2024

In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist."

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Database-centric Data Science Machine Learning Algorithm 52

AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works. What Is ELT?

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Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

OCTOBER 24, 2023

Data visualization has made a long journey, from the simple cave drawings showing a successful hunt to the present day's intricate dashboards to present raw data understandably. Before the seventeenth century, data visualization existed mainly in maps, displaying land markers, cities, roads, and resources.

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