Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

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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

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. Adopt Data Mesh to Power the New Wave of AI Data is evolving from a valuable asset to being treated as a product.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 92

Data Lake Data Warehouse Cloud Unstructured Data 92

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.

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Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

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Knowledge Hut

MARCH 20, 2024

Data type defines the kind of value that can be stored in a variable or expression, acting as a classification system for data. Data structure, on the other hand, is a way to arrange and store data in computer memory so that it may be accessed and altered quickly. What is Data Structure?

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] Daniel Beach: Delta Lake - Map and Array data types Having a well-structured data model is always great, but we often handle semi-structured data.

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Data Engineering Data Engineer Engineering Google Cloud 67

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. txt), Microsoft Word documents (.doc,docx),

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Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

JULY 24, 2023

Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner. These nodes contain hashed/encrypted information to ensure security at each level.

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Database NoSQL Management Relational Database 52

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

Snowflake

MARCH 30, 2023

Schema drift on a wide table structure needs an ALTER TABLE statement, whereas the tall table structure does not. Feature training using information marts In a Data Vault-based architecture, information marts are by default deployed as views. “The features you use influence more than everything else the result.

Engineering 84

Engineering Raw Data Data Science Scala 84

U-Next

MARCH 1, 2023

They are also responsible for ensuring that the data is clean and organized, as well as making sure that it’s easily accessible to other departments within the company. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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

MARCH 22, 2024

On the other hand, in non-linear data structures, the elements do not form a sequence. The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. More flexible in terms of data organisation and access. Easier to understand and implement.

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Algorithm Data Datasets Accessible 52

Knowledge Hut

APRIL 25, 2024

Data analytics is exploding in boardrooms all over the world, offering enterprise-wide commercial success techniques. Gaining the appropriate expertise, which results in information, enables organizations to develop a competitive edge, which is crucial for enterprises to successfully leverage Big Data.

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Knowledge Hut

MARCH 18, 2024

They need to share information or perform certain tasks, but they're built with different technologies or programming languages, making direct communication difficult. It is a message protocol specification for exchanging structured data. Imagine you have two separate systems: System A and System B.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. To provide meaningful business insights, it collects and manages data from a variety of sources. In other words, it is the process of converting data into information. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 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.

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Data Science BI Business Intelligence Data Mining 97

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

Towards Data Science

DECEMBER 23, 2023

Photo by Ian Taylor on Unsplash This tutorial guides you through an analytics use case, analyzing semi-structured data with Spark SQL. We’ll start with the data engineering process, pulling data from an API and finally loading the transformed data into a data lake (represented by MinIO ).

SQL 74

SQL Data Analytics Hadoop Raw Data 74

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

Monte Carlo

JULY 13, 2023

Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automating self-service access.

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Data Engineering Data Engineer Engineering Data Governance 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

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

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

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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MongoDB Relational Database Database Accessible 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. I have provided links for informational purposes and do not suggest endorsement. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Monte Carlo

FEBRUARY 26, 2024

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. The architecture is containerized and improves timeliness of data onboarding and time-to-analysis.

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Metadata Government Data Data Governance 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

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Toolsets and strategies have had to shift to ensure controlled access to data. It established a data governance framework within its enterprise data lake.

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Data Lake Government Data Security Unstructured Data 98

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

Snowflake

APRIL 17, 2023

All features rolled out in public preview in October 2022 are now generally available, including the ability to select specific columns for search optimization; faster searches in VARIANT, ARRAY, OBJECT, and GEOGRAPHY data types; and faster substring searches in string columns. ADD SEARCH OPTIMIZATION ( without the ON clause ).

Food 57

Food Structured Data Utilities Accessible 57

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.

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Knowledge Hut

SEPTEMBER 26, 2023

This is particularly valuable in today's data landscape, where information comes in various shapes and sizes. Effective Data Storage: Azure Synapse offers robust data storage solutions that cater to the needs of modern data-driven organizations. Databricks is renowned for its streamlined developer experience.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Snowflake

FEBRUARY 23, 2023

Starting January 1, 2021, each hospital operating in the United States is required to provide clear, accessible pricing information online about the items and services they provide in two ways: as a comprehensive machine-readable file with all items and services listed, and in a display of shoppable services in a consumer-friendly format.

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