Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

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ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

Have you ever wondered how large amounts of data are organized and accessed by computers? This magic lies in the world of data structures. In this post, we will understand many core data structure concepts. What is Data Structure? Enter data structures - they act as organizers for your data.

Algorithm 52

Algorithm Java Utilities Data 52

Precisely

SEPTEMBER 6, 2023

Similar laws in other jurisdictions are raising the stakes for enterprises, compelling them to govern their data more effectively than they have in the past. Traditional frameworks for data governance often work well for smaller volumes of data, and for highly structured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Knowledge Hut

JUNE 28, 2023

It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle. By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. automate the extraction, analysis, and understanding of useful information from images.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JANUARY 3, 2024

This article provides an introduction to the relational model, which is by far the most common data organization model in DBMS today. This model makes finding and updating information much easier than other types of databases. Tables are similar to folders in a file system, where each table stores a collection of information.

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ProjectPro

JANUARY 27, 2023

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

MARCH 27, 2024

What Is Big Data Analytics? An organization can make informed decisions based on a big data analytics platform, which works by uncovering patterns, correlations, customer preferences and market trends hidden in the data. Some open-source technology for big data analytics are : Hadoop. Apache Spark. Apache Storm.

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Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JANUARY 18, 2024

Insights in data science are the deep understanding acquired by an individual or organization as a result of examining information on a particular subject. We live in the digital world, where we have the access to a large volume of information. What are Analytics? messages per user, with a 20% open rate.

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Knowledge Hut

JANUARY 19, 2024

Recent reports highlight a significant increase in demand for data scientists, rising by 27.9% This surge underscores the pivotal role data scientists play in guiding informed decisions, optimizing processes, and fostering innovation. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Snowflake

APRIL 20, 2023

Snowgrid: Cross-Cloud Data Governance Allow masked columns as inputs to row access policies and conditional masking policies – general availability (GA) Advanced use cases require a masked column in a mapping table to be used as input to a row access policy for row-level authorization.

Medical 57

Medical Retail Python Pharmaceutical 57

Cloudera

SEPTEMBER 29, 2021

Among governments’ priorities are encouraging digital adoption, facilitating access and usage of relevant government services alongside enabling more digital transactions. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

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Medical Government Hospitality Electronics 81

Monte Carlo

FEBRUARY 15, 2023

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? Let’s imagine a scenario where you’re collecting orders information.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Monte Carlo

JULY 10, 2023

Making decisions based on incomplete data is like baking a cake with missing ingredients: not a good idea. You may have the right information on how much butter, sugar, and eggs to add to your batter. The same is true with data. That’s where the definition of data completeness comes in.

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Data Collection Data Governance Government Data 40

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Similarly, Data Science positions are on the rise, highlighting the growing need for experts who can work with data to make informed decisions.

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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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AltexSoft

JUNE 7, 2021

They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. But which one of the celebrities should you entrust your information assets to? You don’t need to archive or clean data before loading. How does it work? scalability.

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U-Next

JUNE 29, 2022

What is Data Structure? Data structures serve as the foundation for abstract data types (ADT) in computer science, where ADT is the logical form of data types. Data structures are used to implement the physical architecture of data kinds. What is Searching in Data Structure?

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Algorithm Computer Science Data Data Collection 52

U-Next

SEPTEMBER 29, 2022

What Is a Data-Driven Culture? . Data on a daily basis surround us. As data becomes more accessible, companies are leveraging it to grow and make an impact. The importance of data today cannot be overstated. Having a data-driven culture is essential for organizations’ survival and growth. .

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Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

DECEMBER 29, 2023

Engineering and problem-solving abilities based on Big Data solutions may also be taught. Career Options: This specialty may prepare you for positions such as: Computer systems analyst Computer network analyst Data scientist Data analyst Data Engineer Data manager D. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. link] The short YouTube video gives a nice overview of the Data Cards.

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Knowledge Hut

OCTOBER 24, 2023

This involves listening attentively, asking the right questions, and being able to summarize information. SQL and SQL Server BAs must deal with the organization's structured data. BAs can store and process massive volumes of data with the use of these databases.

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Business Analyst Business Intelligence SQL Programming Language 98

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

MAY 31, 2023

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

U-Next

AUGUST 26, 2022

We’re focusing on using a database schema since it is the best practical way to arrange properly, store, retrieve, and analyze the information. Data Structure: What Is It? All data types are gathered and handled, linkages around them are upheld, and data-related tasks are completed. Data Structures Are Important.

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Algorithm Data Utilities Data Science 40

U-Next

SEPTEMBER 21, 2022

Everything from your online buying experience to your pastime, what you stream, and what you share on social media creates and operates on data that millions of people like you generate. To condense information into statistics, in 2020 , an average individual created roughly 1.7 MBs of data every second.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Ascend.io

NOVEMBER 21, 2023

Extract The initial stage of the ELT process is the extraction of data from various source systems. This phase involves collecting raw data from the sources, which can range from structured data in SQL or NoSQL servers, CRM and ERP systems, to unstructured data from text files, emails, and web pages.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Yet, more than often, businesses can’t make use of their most valuable asset — information. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. Data lake vs data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

U-Next

OCTOBER 25, 2022

In data manipulation, data is organized in a way that makes it easier to read, or that makes it more visually appealing, or that makes it more structured. Data collections can be organized alphabetically to make them easier to understand. . Based on your business needs, combine or filter information .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. The truth is, there’s more to this term than just the size of information generated. Variety is the vector showing the diversity of Big Data. Data storage and processing.

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Big Data Data Analytics IT NoSQL 78

Snowflake

JANUARY 18, 2023

In clinical trials and drug discovery, pharmaceutical research that combines patient health data, drug effectiveness, and genomic variations can improve outcomes and speed time to market. For individual care, a doctor who knows a patient’s genetic profile can make more informed decisions, advancing personalized medicine.

Pharmaceutical 86

Pharmaceutical AWS Java Healthcare 86

Knowledge Hut

JULY 28, 2023

ML follows a more traditional problem-solving approach that involves the following steps: Data Collection : Gathering relevant data that represent the problem domain. Data Pre-processing : Cleaning, transforming, and preparing the data for analysis.

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