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. Make sure to check out our dedicated article.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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

Ascend.io

FEBRUARY 28, 2024

Here lies the critical role of data engineering: preparing and managing data to feed AI models. This relationship is not one-sided; AI, in return, can significantly enhance data engineering tasks. This is particularly critical for the success of AI in developing responsive and precise domain-specific chatbots and tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Specification of access conditions for specific users and groups.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

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 59

Data Lake Data Warehouse Hadoop Raw Data 59

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 Science 97

Data Science BI Business Intelligence Data Mining 97

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. These features are critical for businesses that must ensure their data's confidentiality.

MongoDB 52

MongoDB Relational Database Database Accessible 52

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

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

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 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

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

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. Features: HDFS incorporates concepts like blocks, data nodes, node names, etc. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JULY 31, 2023

By leveraging square brackets [] and the colon: symbol, developers can effortlessly extract, modify, and access specific portions of strings. Whether creating substrings, reversing strings or analyzing their properties, Python string slicing offers a concise and efficient way to work with textual data.

Python 52

Python Programming Programming Language Accessible 52

U-Next

FEBRUARY 16, 2023

There is a rapid increase in banking frauds like identity theft, phishing, vishing, smishing, access to debit/credit card details, and UPI/QR code scams. Many firms’ internal networking can now be accessible thanks to our accounts’ accessibility, data in the cloud, and portable devices.

Banking 74

Banking Systems Education Government 74

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? getFront()` returns the front element without dequeuing.

Computer Science 52

Computer Science Java Utilities Data 52

Striim

JANUARY 4, 2023

When your applications access data from each other, it can cause high coupling, i.e., applications are highly interdependent on each other. If you make any changes in the data structure, such as dropping a table from the database, it can affect the applications that are ingesting or using data from it.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Rockset

SEPTEMBER 8, 2021

At Rockset, we work hard to build developer tools (as well as APIs and SDKs) that allow you to easily consume semi-structured data using SQL and run sub-second queries on real-time data. Random We love memes and thoughtful articles about tech in general. If you find something you want to share, this is the place!

SQL 52

SQL Data Ingestion Consulting Data Pipeline 52

Knowledge Hut

JULY 3, 2023

This article will explore the diverse career paths available to UI/UX designers, including the numerous specializations, roles, and opportunities. From user research and insight gathering to wireframing prototyping, and usability testing, UX designers are committed to ensuring that every interaction is intuitive, accessible, and enjoyable.

Designing 52

Designing Portfolio Education Utilities 52

RandomTrees

SEPTEMBER 6, 2020

A combination of structured and semi structured data can be used for analysis and loaded into the cloud database without the need of transforming into a fixed relational scheme first. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. So, Redshift may not be ideal for fast, ad-hoc real-time queries.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

ProjectPro

NOVEMBER 17, 2021

Access the Sentiment Analysis Project on Product Reviews with Source Code Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2. Access the Sentiment Analysis Project on Movie Reviews with Source Code 3. in any language.

Coding 52

Coding Project Entertainment Datasets 52

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

AltexSoft

MARCH 28, 2022

In this article, we’ll focus on short-term rental data sourcing and analysis, and share our experience gained from cooperation with Japan’s largest booking platform Rakuten Travel , vacation rental market data provider Key Data , and other tech partners. You can even get started with data analysis for free.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

AltexSoft

AUGUST 18, 2021

As with any ML task, it all starts with data. Read our article Preparing Your Dataset for Machine Learning to avoid common mistakes and handle your information properly. In this article, we’ll focus on a narrower task of finding and organizing airfare-related features. Popular flight data sources.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Knowledge Hut

OCTOBER 5, 2023

Acquiring certification in Big Data Specialty helps professionals gain in-depth knowledge of AWS big data concepts and effective utilization of big data. This article will discover everything you need to know about AWS Big Data Certification and salary. Who is AWS Big Data Specialist?

Big Data 52

Big Data AWS Certification Amazon Web Services 52

AltexSoft

OCTOBER 25, 2021

But a lot of data (by different estimations, 70 or 80 percent of all clinical data) remains unstructured , kept in textual reports, clinical notes, observations, and other narrative text. Unstructured data is unavoidable, yet extremely valuable. The many healthcare factors hidden in unstructured data. Available solutions.

Medical 52

Medical Healthcare Process Hospitality 52

U-Next

OCTOBER 20, 2022

Secondary Data Collection Methods . Secondary data refers to information collected by someone other than the researcher. Public data is easily accessible and does not require specialized data collection techniques. What Are Data Collection Tools? . Challenges in Maintaining Data Integrity .

Data Collection 52

Data Collection Big Data Data Medical 52

Knowledge Hut

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. You can afford more computational resources: DL models are computationally intensive and often require powerful hardware or access to specialized hardware like GPUs or TPUs for efficient trainings.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data. Download the Clickbait Dataset.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

ProjectPro

JULY 22, 2016

There are several people writing that data lakes are replacing data warehouses but this is just another technology hype that is coming across the effective use of data. Will data lake replace a data warehouse or will the two complement each other is currently the hottest discussion in the big data community.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

Towards Data Science

MAY 11, 2023

Whereas the author illustrates his examples using JavaScript and Java, this article attempts to demonstrate the ideas in Python. Following along the article, you’ll find simple code snippets in Python that illustrate how each principle can be adhered to or broken. to control who can access/change data in Python.

Programming 92

Programming Python Data Schemas Java 92

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. Example of article extraction on Introducing a Cloud-Native Experience for Apache Kafka ® in Confluent Cloud.

Kafka 15

Kafka Cloud Amazon Web Services Google Cloud 15

Confluent

AUGUST 29, 2019

In an identity/access management application, it’s the relationships between roles and their privileges that matters most. If you’ve found yourself needing to write very large JOIN statements or dealing with long paths through your data, then you are probably facing a graph problem. Relationships act like verbs in your graph.

Kafka 55

Kafka Process Algorithm Cloud 55

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

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

ProjectPro

SEPTEMBER 30, 2014

Hadoop is extensively talked about as the best platform for ETL because it is considered an all-purpose staging area and landing zone for enterprise big data. The spurt of internet users and the adoption of technology by all the conceivable industries through the past two decades began generating data in exponentially expanding volumes. .”

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52