Team Data Science

FEBRUARY 23, 2021

This is the first piece of a series of three articles in which you'll learn: the natural linkage between digital transformation and data capabilities (the WHY); the data capabilities that allow the economic value of data to be extracted (the WHAT); an iterative process to develop data maturity (the HOW).

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Knowledge Hut

APRIL 26, 2024

B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it. Data science and its associated fields use algorithms, processes, and other modern tools and techniques to draw insights from vast amounts of structured and unstructured data.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

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

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

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

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

DoorDash Engineering

APRIL 26, 2023

Extraction of structured information Another strength of Generative AI is to understand unstructured data and parse it into a more structured format. One of the key challenges is data privacy and security. By leveraging this technology, we can enhance the customer experience, reduce manual effort, and improve data accuracy.

Food 98

Food Unstructured Data Deep Learning SQL 98

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

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

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. Data Requirements ML models typically require more labelled training data to achieve good performance.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured 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

AltexSoft

OCTOBER 25, 2021

This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. 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.

Medical 52

Medical Healthcare Process Hospitality 52

Edureka

JULY 18, 2023

This article explores AI’s use in banking, focusing on how it affects cybersecurity and fraud prevention as well as the advantages it offers the sector. These techniques add an additional degree of security and make it more difficult for unauthorised people to access private user accounts.

Banking 40

Banking Algorithm Media Machine Learning 40

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

AltexSoft

OCTOBER 18, 2022

Read our article on HIPAA violations to avoid common mistakes and associated penalties. Medical data anonymization and de-identification. So, before you can use medical data for research or business purposes, you must get rid of personal identifiers and even parts of them (like initials). Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

JUNE 26, 2023

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. Syntegra synthetic data.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

U-Next

AUGUST 18, 2022

These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Both organized and unstructured data are used in Data Science. Data Science is thus entirely concerned with the present moment. Based on Industry.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Databand.ai

JULY 19, 2023

However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MAY 31, 2023

If you are interested in working on database projects in 2023, this article is for you. You can then create your own models within your codebase, allowing you to access and manipulate your database directly from Python when needed - whether that means fetching records or adding or updating them.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

NOVEMBER 16, 2023

This article focuses on the top 10 highest-paid jobs in India , along with their brief overviews and requirements. The increased accessibility of online professional courses and authentic study resources has contributed significantly to bringing up the number of skilled workforces. billion on IT in 2022.

IT 52

IT Software Engineer Software Engineering Cloud Computing 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

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

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, it’s not real-time data. Pricing starts at $0.25

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

ProjectPro

JANUARY 28, 2022

This is especially useful in unstructured data like images where anomalies could be any type of image other than the one trained on the model. More anomaly datasets can be accessed here: Outlier Detection DataSets (ODDS). We can use these to get the remaining indices that correspond to the outliers found in the fitted data.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Big data computing frameworks like clouds and servers are utilized for data storage and accessibility.

Medical 52

Medical Computer Science Scala Machine Learning 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

Knowledge Hut

DECEMBER 27, 2023

This article will tell you more about the courses you can take and the jobs you can get after you get a BBA. Some of you may want to work in a field other than business administration, like data science. This article will list the best courses after BBA and the jobs they lead to. What Is BBA?

Banking 52

Banking Finance Recruitment Portfolio 52

ProjectPro

NOVEMBER 30, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice So, to make the most of the new fuel: Data, and to shop for the sky-rising old fuel: Petrol, it is crucial to be aware of all of these new terms thrown at us. Data mining is sometimes also used as a prerequisite for building a machine learning model.

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 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

ProjectPro

MAY 22, 2015

In our earlier articles we had mentioned how popular Hadoop is becoming and the huge job opportunities that are out there. Gartner predicts 6 million big data jobs to be generated in US for 2015. The user guide and the administrator guide can be accessed for free.

Hadoop 40

Hadoop Big Data Unstructured Data Education 40