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? What Should You Choose between Big Data and Traditional Data?

Big Data 52

Big Data Relational Database Data Datasets 52

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. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Analysis and Visualization : Query stored data to extract insights and generate reports. A typical data ingestion flow.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 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. Business Intelligence only deals with structured data.

Business Intelligence 52

Business Intelligence Data Science BI 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

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Information technology is now synonymous with any form of digital communications and technologies. Even analyzing consumer data or live streaming social media plays a vital role in Information Technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

Snowflake

MARCH 14, 2024

As a cohesive ERP solution, SAP is often one of the largest data resources in an organization, containing everything from financial and transactional data to master information about customers, vendors, materials, facilities, planning and even HR. Information about purchases made for that plant are within SAP.

IT 93

IT Data Ingestion Data AWS 93

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. Learning Data Visualization To discover hidden truth or information on business problem, data needs to be viewed properly.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Analytics Vidhya

FEBRUARY 2, 2023

We can use this to steal sensitive information or make unauthorized changes to the data stored in the database. Introduction SQL injection is an attack in which a malicious user can insert arbitrary SQL code into a web application’s query, allowing them to gain unauthorized access to a database.

Database 204

Database SQL Coding Accessible 204

U-Next

MARCH 1, 2023

It’s not just the data itself that is important, but also how that data can be used to make better decisions. A data engineer will often work closely with other departments within a company to find out what information they need and how they want it presented, as well as work directly with business analysts or IT specialists.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

DECEMBER 26, 2023

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. automate the extraction, analysis, and understanding of useful information from images.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. Making sense of all the different data is the biggest difficulty.

Big Data 97

Big Data Entertainment Transportation Banking 97

Data Engineering Podcast

DECEMBER 11, 2022

Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. images, audio, video, etc.)

Unstructured Data 100

Unstructured Data Machine Learning Data Engineering Data Engineer 100

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

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

MAY 31, 2023

AI Health Engine Language: Python Data set: CSV file Source code: Patient-Selection-for-Diabetes-Drug-Testing Artificial intelligence (AI) in healthcare is called the "AI Health Engine." The structured data can be utilized for various tasks, including applicant tracking, hiring, and talent management.

Project 96

Project Healthcare Deep Learning Transportation 96

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.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Cloudera

NOVEMBER 15, 2021

At current growth rates, it is estimated that the number of bits produced would exceed the number of atoms on Earth in about 350 years – a physics-based constraint described as an information catastrophe. The rate of data growth is reflected in the proliferation of storage centres. Conclusions.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Rockset

MAY 21, 2024

Secondly, as LLMs are trained on datasets that are static and often outdated by the time they're deployed, they are unable to provide accurate or relevant information about recent developments or trends. This limitation makes them unsuitable for scenarios where real-time up-to-the-minute information is critical, such as news reporting, etc.

Building 52

Building Utilities Datasets Database 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

phData: Data Engineering

SEPTEMBER 19, 2023

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Weekly

APRIL 7, 2024

link] Spotify: Data Platform Explained In the ever-evolving landscape of data-driven decision-making, a well-structured data platform emerges as a critical asset. Spotify shares some of the critical triggers in an organization that leads to build data platform. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

DataKitchen

FEBRUARY 27, 2024

Retrieval-Augmented Generation: Enhancing LLMs with Targeted Data Retrieval-augmented generation (RAG) is a methodology where an LLM generates outputs based on the input prompt and leverages an external database or repository of information. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

Snowflake

APRIL 17, 2023

Panther Labs improves point lookup queries by 100x for VARIANT data types The new features in the Search Optimization Service enable our customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns. Panther has seen these point lookup queries improve by factors of over 100 times.

Food 57

Food Structured Data Utilities Accessible 57

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.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Edureka

JUNE 7, 2024

The Power of Predictive AI Predictive AI, unlike its creative counterpart, is all about using data to peek into the future. Think of it as a super-powered fortune teller who analyzes humongous amounts of information to predict what might happen next. How Does Predictive AI Work?

Deep Learning 97

Deep Learning Media Manufacturing Algorithm 97

AltexSoft

AUGUST 29, 2023

Getting back to the topic, the key thing to understand about a data lake isn’t its construction but rather its capabilities. It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. Supports complex query relationships and ensures data integrity. What is a Database?

Database 52

Database Relational Database Algorithm PostgreSQL 52

Striim

MAY 1, 2024

This platform acts as the primary structured data repository in Google Cloud. Concurrently, SQL Server data is thoroughly cleaned in Link Data, which also extracts images and email attachments from different systems, ensuring data integrity and availability.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Precisely

DECEMBER 19, 2022

The PropTech industry has been booming – and data holds the key to continuous transformation and competitive edge. High quality data and analytics helps PropTech companies gain deeper context on properties and locations, build richer models with accurate information, and more.

Data Governance 52

Data Governance Retail Government High Quality Data 52

Cloudyard

OCTOBER 23, 2023

Modern data systems often append new columns to accommodate additional information, necessitating downstream tables to adjust accordingly. Data pipeline should be robust enough that it should read the multiple file structure at run time and ingest them in a same table.

Data Schemas 52

Data Schemas Data Pipeline Structured Data Architecture 52

Snowflake

JULY 10, 2023

Processing files in a Python UDF and Stored Procedure has piqued the interest of our data scientists and paves the way for automation of new, complex data pipelines.” Mike Tuck, Air Pollution Specialist Why unstructured data? Please refer to documentation for more information.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Data Engineering Weekly

JUNE 4, 2023

[link] LlamaIndex: Combining Text-to-SQL with Semantic Search for Retrieval Augmented Generation A query engine can leverage the expressivity of SQL over structured data and join it with unstructured context from a vector database - The future of data processing. link] Grab: PII masking for privacy-grade machine learning.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

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

Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

JULY 3, 2023

UI UX designers refine and optimize user interfaces through iterative design processes, taking into account information architecture, interaction design, and visual hierarchy. Information Architecture A UX designer's career path requires expertise in organizing and structuring information logically.

Designing 52

Designing Portfolio Education Utilities 52

Snowflake

MAY 23, 2024

Our unique combination of technology, generative AI and data skill sets gives us the right level of expertise to create a robust solution for customers facing the same data challenges as we did. Why did you choose Snowflake to solve this problem?

Data Pipeline 86

Data Pipeline Raw Data Data Schemas Technology 86