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

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Ascend.io

FEBRUARY 28, 2024

While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data. Here lies the critical role of data engineering: preparing and managing data to feed AI models.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

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

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

MAY 11, 2023

Sharvit deconstructs the elements of complexity that sometimes seems inevitable with OOP and summarizes the main principles of DOP that helps us make the system more manageable. As its name suggests, DOP puts data first and foremost. to control who can access/change data in Python. These principles are language-agnostic.

Programming 90

Programming Python Data Schemas Java 90

U-Next

SEPTEMBER 7, 2022

This article will provide answers to these questions and more. . Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. What is Data Warehouse? . 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

Snowflake

MARCH 30, 2023

For this reason, a new data management for ML framework has emerged to help manage this complexity: the “feature store.” Feature store As described in Tecton’s blog , a feature store is a data management system for managing ML feature pipelines, including the management of feature engineering code and data.

Engineering 83

Engineering Raw Data Data Science Scala 83

Data Engineering Weekly

JUNE 4, 2023

link] LakeFs: How to Implement Write-Audit-Publish (WAP) I wrote extensively about the WAP pattern in my latest article, An Engineering Guide to Data Quality - A Data Contract Perspective. The author writes an exciting article about adopting unit testing in the data pipeline by producing sample tables during the development.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 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. The dataset can be either structured or unstructured or both. Data Analyst Scientist.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics? The three most typical categories 5.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 22, 2024

The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. In this article, we will understand what a data structure and the fundamental difference between linear and non linear data structures. Easier to understand and implement.

Algorithm 52

Algorithm Data Datasets Accessible 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JANUARY 3, 2024

The linear data structure's elements can all be accessed in one run. There are four primary types of linear data structures: Queue, Linked Lists, Stack, and Arrays. What Is Data Structure? A data structure can be defined as a system of storage that organizes and stores data.

Data Storage 52

Data Storage Data Systems Data Science 52

Knowledge Hut

JANUARY 3, 2024

Did you know that almost all database management systems (DBMS) use a particular data organization model? This article provides an introduction to the relational model, which is by far the most common data organization model in DBMS today. Data consistency means that all data in the database is consistent with itself.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Knowledge Hut

MARCH 27, 2024

In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find. These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Ascend.io

NOVEMBER 21, 2023

Yet, looking into the complexities of today’s data-driven world, it becomes clear that ELT, while transformative at its inception, now forms just a part of an ever-evolving data landscape. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

AltexSoft

NOVEMBER 1, 2023

This article explains what named entity recognition is, its working principles, and how it is used in real life. A corpus can range from a set of news articles to academic journals or even social media posts. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it.

Scala 64

Scala Data Lake BI Google Cloud 64

Data Engineering Podcast

FEBRUARY 3, 2019

Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Towards Data Science

MARCH 5, 2024

Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience.

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Zalando Engineering

JANUARY 30, 2023

Our Incident Playbooks cover emergency procedures to initiate in case a certain set of conditions is met, for example when one of our systems is overloaded and the existing resiliency measures (e.g. When the bigger system context is considered, there are more options available to mitigate issues. processing of price updates).

Management 57

Management Metadata Software Engineer Software Engineering 57

Data Engineering Weekly

NOVEMBER 20, 2022

link] The short YouTube video gives a nice overview of the Data Cards. I found this article a bit late, but an exciting read for this week. We often think of AI/ ML as a complex data processing problem, but it doesn’t make any use until it is exposed to an end user or an application.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

DECEMBER 21, 2023

Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course. HDFS HDFS is the abbreviated form of Hadoop Distributed File System and is a component of Apache Hadoop.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Grouparoo

DECEMBER 26, 2021

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. In this article, we’ll look at what are the different types of databases and which is the most common.

Database 52

Database NoSQL Relational Database Data Storage 52

Knowledge Hut

DECEMBER 13, 2023

Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market. This article will discuss the top big data consulting companies , big data marketing companies , big data management companies and the biggest data analytics companies in the world.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Metadata Government Kafka 124

Monte Carlo

FEBRUARY 15, 2023

Data analysts and engineers can run the queries they want to run when they want to run them without worrying about excessive load times or statement timeouts. What is a data warehouse? A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

MARCH 19, 2024

In this article, I'll share my experiences with queue data structures, applications of queue data structure to show how they're essential in various computer applications. What is Queue in Data Structures? This application enhances system efficiency and resource utilization.

Computer Science 52

Computer Science Java Utilities Data 52

AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. You don’t need to archive or clean data before loading. A file stored in the system ?an’t

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Ascend.io

JULY 19, 2023

While the journey will differ from company to company — because of their unique business and data needs — there are fundamental principles that provide a blueprint for action. Source: Data Mesh Principles and Logical Architecture by Zhamak Dehghani In this article, we won’t be diving into the deep end of what data mesh is.

Data Governance 40

Data Governance Government Metadata Data 40

Precisely

MARCH 9, 2023

Data warehouse vs. data lake, each has their own unique advantages and disadvantages; it’s helpful to understand their similarities and differences. In this article, we’ll focus on a data lake vs. data warehouse. They may want to look at those numbers on a daily or weekly basis.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 117

Generalist Telecommunication Healthcare Data 117

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Data analysis. Stream processing.

Big Data 52

Big Data Data Process Process Hadoop 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52