Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 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. What is a Database? What is a Data Structure?

Database 52

Database Algorithm Relational Database PostgreSQL 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

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

Database 52

Database NoSQL Relational Database Data Storage 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.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Data Engineering Weekly

DECEMBER 18, 2022

Given the characteristic, are we having a “Big Data” problem? Can we spin off a machine with all the data stack and run through the analysis? The author writes an exciting blog, Modern data stack in a Box!! I found the tech forum from Scale AI very informative about the various approaches in self-driving car efforts.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 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?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 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. txt), Microsoft Word documents (.doc,docx),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

Edureka

AUGUST 2, 2023

SQL Structured Query Language, or SQL, is used to manage and work with relational databases. Data scientists use SQL to query, update, and manipulate data. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 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 57

Data Lake Data Warehouse Hadoop Raw Data 57

Monte Carlo

FEBRUARY 27, 2024

Right now, RAG is the essential technique to make GenAI models useful by giving an LLM access to an integrated, dynamic dataset while responding to prompts. This data, alongside the query, is then passed to the LLM to generate a specific, accurate answer. The success of a RAG system hinges on the quality of the underlying data.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

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

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

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

SEPTEMBER 26, 2023

Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Towards Data Science

MARCH 5, 2024

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. This comes with the advantages of reduction of redundancy, data integrity and consequently, less storage usage.

Bytes 71

Bytes Google Cloud Cloud Storage Utilities 71

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. Dynamic data masking serves several important functions in data security. It restricts sensitive information to a small group of users. Data export and archiving to outside data stores are supported.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

AltexSoft

AUGUST 4, 2021

Some sweets are presented on your display cases for quick access while the rest is kept in the storeroom. Now let’s think of sweets as the data required for your company’s daily operations. The main idea is to provide a particular part of an organization with data that is the most relevant for their analytical needs.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

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. .

Management 52

Management Unstructured Data Data Government 52

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

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.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 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

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two.

Architecture 52

Architecture Data Lake Medical Datasets 52

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Data Visualization Graphic representation of a set or sets of data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

AUGUST 22, 2022

What is data fabric? A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., Data fabric architecture example.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Data Engineering Weekly

MARCH 24, 2023

Drawback #1: Not Every Database Supports Transaction The relational database support transaction for multiple mutation statements. However, if you use systems like DynamoDB, the transaction support falls under the application or the Data Access Layer. You can find more information about it by visiting [link].

Engineering 67

Engineering Data Transportation Database 67

AltexSoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data storage component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Data warehouse. Traditional data warehouse platform architecture. Key features of a data lakehouse. DataFrame API support.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

DECEMBER 26, 2023

If you continue tracking these data points for over six months or a year, you will be able to gather more information about your sleeping patterns; when do you have short-awakenings at night, when do you sleep the most, how long do you sleep on holidays, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. . Create a staging area by importing and constructing a database .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

U-Next

OCTOBER 27, 2022

Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. You can easily access as many resources as you require and only pay for those that you utilize. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40