Knowledge Hut

MARCH 29, 2024

With the affinity map UX design tool, scattered thoughts become structured plans, enhancing the design process and making it more satisfying. Affinity Mapping Definition: Affinity mapping is a collaborative technique in design used to organize ideas, information, and issues. This helps you keep track of the latest trends and research.

Process 52

Process Designing Unstructured Data Raw Data 52

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 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? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories. Quality : Is the data itself anomalous?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7

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Medical Healthcare Process Hospitality 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

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Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data.

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Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques. Whereas, Business Intelligence is the set of technologies and applications that are helpful in drawing meaningful information from raw data. Data Usage It stores the data in a sorted manner for future use.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

Big data refers to large volumes of data or datasets that cannot be gleaned or parsed with traditional tools and methods. These overwhelming datasets encompass extensive and complex information from multiple sources like transactions, web interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Monte Carlo

NOVEMBER 9, 2023

We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. All of these currently exist in databases and data warehouses. Put simply, the underlying infrastructure to scale, secure, and operate LLM applications is not there yet. Take GPT-4 for example.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management.

Pipeline-centric 127

Pipeline-centric Food Healthcare Unstructured Data 127

Snowflake

APRIL 20, 2023

In doing so, without compromising security or governance, we enable customers and partners to bring the power of LLMs to the data to help achieve two things: make enterprises smarter about their data and enhance user productivity in secure and scalable ways. Figure 1: Visual Question Answering Challenge data types and results.

Building 117

Building Unstructured Data Government Coding 117

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI).

Unstructured Data 94

Unstructured Data Manufacturing Retail Data Warehouse 94

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

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Metadata Unstructured Data Business Intelligence MongoDB 100

Knowledge Hut

JANUARY 18, 2024

Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data.

Data Science 98

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Knowledge Hut

DECEMBER 26, 2023

Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science." Data science is now more important than ever.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. In the real world, data sets are huge. Data is not available in a specific format.

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Datasets Machine Learning Deep Learning Finance 98

DareData

MARCH 5, 2024

Discover some examples of Generative AI Use Cases and what how you can level up your organization and business In the dynamic landscape of artificial intelligence, Generative AI agents have taken the center stage when it comes to adding value to organizations' processes.

Database-centric 52

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Knowledge Hut

JANUARY 18, 2024

This article clearly explains the topics of data scientist vs software engineer, including data scientist vs software engineer salary , with relevant information which hopefully leads the readers to a doubt-free decision. What is Data Science? Get to know more about SQL for data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Precisely

MAY 13, 2024

If you’re in the market for a data integration solution, there are many things to consider – including the flexibility of integration solutions, the availability of a strong network of service providers, and the vendor’s reputation for thought leadership in the integration space. How much time is required from me for this process? #3.

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Data Integration Metadata Amazon Web Services Data Governance 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process.

Government 91

Government Education Unstructured Data Datasets 91

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Snowflake

JUNE 30, 2023

Data teams can organize analytics into manageable and reusable blocks of knowledge supporting every data flow; users can consume them via SQL, Tableau, Looker, Python, or dbt. semantha seeks to eliminate information overload with AI services for processing unstructured data like text and video.

Unstructured Data 94

Unstructured Data Raw Data Python SQL 94

Knowledge Hut

APRIL 23, 2024

As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. But do you know there are certain disadvantages of big data along with the pros? This article will talk about the challenges faced in using, storing, processing, and retrieving big data.

Big Data 52

Big Data Media Government Big Data Skills 52

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. These suggestions save time for customers and can simplify the ordering process.

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Food Unstructured Data Deep Learning SQL 98

Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? Smaller and more cost-effective ways of managing data.

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Big Data Relational Database Data Datasets 52

Data Engineering Weekly

DECEMBER 25, 2023

Understanding the Maturity Model in Data Engineering A significant part of our discussion revolved around the maturity model in data engineering. Organizations must recognize their current position in the data maturity spectrum to make informed decisions about adopting new technologies.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Team Data Science

FEBRUARY 23, 2021

Companies can now make data useful to elevate decision making and to optimise products and processes. It's currently easy to acquire data strategically. Then, add to this the ubiquitous usage of customer IDs to uniquely identify users' information, which is acquired across multiple channels [ , 4 ].

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Business Intelligence Food Unstructured Data Relational Database 130

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Cloudera

AUGUST 4, 2021

Using a scalable data management and analytics platform built on Cloudera Enterprise, Sikorsky can process and store data in a reliable way, and analyze full data sets across entire fleets. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

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Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JANUARY 30, 2024

What is data extraction? Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. In this repository, data from multiple sources is consolidated and standardized, providing a centralized hub for analytical purposes.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Monte Carlo

FEBRUARY 7, 2024

Intelligence is information and interpretation. But no matter how much data you pump into an AI model, at the end of the day, it’s still ostensibly a regurgitation machine (albeit a very sophisticated regurgitation machine). But don’t give the computer credit for automating a process or building a pipeline based on your deep research.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59