Knowledge Hut

APRIL 23, 2024

View A broader view of data Narrower view of data Data Data is gleaned from diverse sources. Data is gleaned from structured and specific sources Volume Massive volumes of data Smaller volumes of data Analysis Entails techniques like data aggregation, fusion, etc.,

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. It was open-sourced in 2010 under a BSD license.

Scala 98

Scala Hadoop Healthcare Big Data 98

Knowledge Hut

DECEMBER 22, 2023

Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods. Research and implement machine learning tools and algorithms. Choose data sets. Data Scientists A data scientist’s role is to collect, analyze, and interpret massive amounts of data.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

MAY 23, 2024

This tool can work in close tandem with other products like Search Console, Google Ads, and Data Studio, which makes it a widespread option for anyone using leveraging different Google products. Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

MARCH 19, 2024

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

Software Engineering 52

Software Engineering Software Engineer Engineering IT 52

Striim

SEPTEMBER 11, 2024

A well-designed data pipeline ensures that data is not only transferred from source to destination but also properly cleaned, enriched, and transformed to meet the specific needs of AI algorithms. Why are data pipelines important? Encryption: Secures data both at rest and in transit to prevent unauthorized access.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

NOVEMBER 14, 2023

Credit scoring and risk assessment: Traditional credit scoring models rely on narrow and limited financial data, making it difficult for individuals without a well-established credit history to access loans or other financial products.

Banking 74

Banking Education Unstructured Data Algorithm 74

Cloudera

JUNE 12, 2024

Capital One leverages GenAI to create synthetic data for model training while protecting privacy. BlackRock utilizes GenAI to automatically generate research reports and investment summaries. Deloitte employs AI for risk, compliance, and analysis while also using ML models for fraud detection.

Finance 77

Finance Portfolio Government Unstructured Data 77

Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Striim

AUGUST 28, 2024

The advent of real-time data processing revolutionized this paradigm, providing the means to analyze and act on data as it flows, thereby minimizing latency to sub-second and offering unparalleled scalability and adaptability to modern data streams.

Healthcare 52

Healthcare Retail Algorithm Finance 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Below are three examples of customers that have utilized enhanced data and analytics to advance their customer experience initiatives: .

Unstructured Data 73

Unstructured Data Banking Machine Learning Media 73

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

Knowledge Hut

APRIL 23, 2024

Organizations are utilizing the enormous potential of big data to help them succeed, from consumer insights that enable personalized experiences to operational efficiency that simplifies procedures. It helps recruiters handle data from job applications and resumes. But that is all said and heard.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

MARCH 15, 2024

7) DP-203: Microsoft Azure Data Engineer Associate Your proficiency in developing and executing data solutions that make use of Microsoft Azure data services will grow with the assistance of this professional certificate. To comprehend the efficiency of algorithms, learn to examine their time and space complexity.

Cloud Computing 52

Cloud Computing Certification Algorithm SQL 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

MAY 2, 2024

Reusability: Spark code once written for batch processing jobs can also be utilized for writing processed on Stream processing and it can be used to join historical batch data and stream data on the fly. Streaming Data: Streaming is basically unstructured data produced by different types of data sources.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Optimizing resource utilization is crucial.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. 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.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Knowledge Hut

JUNE 20, 2023

They transform unstructured data into scalable models for data science. Data Engineer vs Machine Learning Engineer: Responsibilities Data Engineer Responsibilities: Analyze and organize unstructured data Create data systems and pipelines. Assemble data for predictive and prescriptive modeling.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Monte Carlo

MAY 28, 2024

By following these steps, businesses efficiently transform chaotic information influxes into well-organized data pipelines, ensuring effective data utilization. A typical data ingestion flow. Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

JULY 26, 2023

It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. They provide specialized data types and indexing algorithms for storing and querying map, coordinate, and spatial relationship information.

Database 52

Database NoSQL Telecommunication MongoDB 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

Knowledge Hut

APRIL 25, 2024

Users may more quickly gain insights by using interactive dashboards and point-and-click data exploration to better understand the broader picture. This technique utilizes less network gear and uses less energy, but it may only be a temporary cure for many big data analytics platform characteristics, especially if more growth is anticipated.

Big Data 52

Big Data Data Analytics Manufacturing Retail 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

Knowledge Hut

OCTOBER 26, 2023

AWS Lambda can be utilized with other email or SMS services to create a cost-effective mass mailing solution. Most streaming platforms, including Netflix and Amazon Prime Video, already utilize content recommendation systems. These containers scan and read the identity cards using deep learning algorithms for marking attendance.

AWS 52

AWS Coding Project Cloud Computing 52

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. And the approach extends to insurers.

Insurance 72

Insurance Unstructured Data Hospitality Media 72

DataKitchen

FEBRUARY 27, 2024

LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights. However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with.

Data Engineer 47

Data Engineer Data Engineering Engineering Unstructured Data 47

Knowledge Hut

JUNE 20, 2023

Predictive analytics is a method or technique of predicting a business procedure's future results or outcomes based on historical data. Business analysts use various statistical tools and machine learning algorithms to make forecasts. It will only increase shortly, which will yield effective results for the companies.

Business Analyst 52

Business Analyst Banking Cloud Computing Unstructured Data 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices. Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Knowledge Hut

JUNE 23, 2023

The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics? Real-time data analytics is quickly analyzing data to provide actionable insights for enterprises. Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52