Knowledge Hut

JULY 4, 2023

This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

JULY 28, 2023

DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Data Requirements ML models typically require more labelled training data to achieve good performance. Application Domains Suited for a wide range of tasks, including regression, classification, and clustering.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

NOVEMBER 30, 2021

Now that we have understood how much significant role data plays, it opens the way to a set of more questions like How do we acquire or extract raw data from the source? How do we transform this data to get valuable insights from it? Where do we finally store or load the transformed data?

Process 52

Process Data Pipeline Data Warehouse AWS 52

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

NOVEMBER 27, 2023

A data scientist’s job needs loads of exploratory data research and analysis on a daily basis with the help of various tools like Python, SQL, R, and Matlab. This role is an amalgamation of art and science that requires a good amount of prototyping, programming and mocking up of data to obtain novel outcomes.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Cloudera

JANUARY 20, 2021

We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. The six steps are: Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store). Data Collection Challenge.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. To make audio understandable for computers, data must undergo a transformation.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

OCTOBER 24, 2023

Data visualization has made a long journey, from the simple cave drawings showing a successful hunt to the present day's intricate dashboards to present raw data understandably. Before the seventeenth century, data visualization existed mainly in maps, displaying land markers, cities, roads, and resources.

Project 52

Project BI Datasets Big Data 52

Knowledge Hut

JANUARY 18, 2024

It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data. Both data science and software engineering rely largely on programming skills. However, data scientists are primarily concerned with working with massive datasets.

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Software Engineer Software Engineering Data Science Engineering 97

Knowledge Hut

FEBRUARY 7, 2023

It is a commercial closed-source integrated system of software products designed for advanced analytics and complicated statistical processes required in Business Intelligence. Big organizations and experts employ SAS for their data science projects due to its high reliability. These are ‘DATA’ to identify the dataset.

Data Science 52

Data Science Datasets SQL Data Mining 52

DareData

JULY 5, 2023

In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

SEPTEMBER 27, 2023

Power BI is a robust data analytics tool, that enable analysis, dynamic dashboards, and seamless data integration. Meanwhile, Salesforce serves as a versatile Customer Relationship Management (CRM) platform, ideal for data collection, workflow management, and business insights. till the end of delivery time and location.

BI 52

BI Datasets Data Security Data Analysis 52

Knowledge Hut

JUNE 28, 2023

The answer lies in the strategic utilization of business intelligence for data mining (BI). Although these terms are sometimes used interchangeably, they carry distinct meanings and play different roles in this process. Process of analyzing, collecting, and presenting data to support decision-making.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

JANUARY 23, 2024

We'll uncover the secrets of essential math for data science and the must-have data science math skills every aspiring data enthusiast should know. From the relaxed vibes of linear algebra to the exciting tales of statistics and calculus, we'll cruise through the landscapes that turn raw data into captivating stories.

Data Science 52

Data Science Algorithm Raw Data Data 52

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

APRIL 25, 2023

It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., into a single master source which is then processed and analyzed further down the pipeline. Organizations build data ingestion architecture to make sense of the complexity in the data and derive more value from it.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. A data analyst would be a professional who will be able to accomplish all the tasks mentioned in the process of data analysis.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

OCTOBER 29, 2021

Since then, many other well-loved terms, such as “data economy,” have come to be widely used by industry experts to describe the influence and importance of big data in today’s society. How then is the data transformed to improve data quality and, consequently, extract its full potential?

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

Knowledge Hut

NOVEMBER 20, 2023

Fraud detection with AI and machine learning operates on the principle of learning from data. Here's how it works: Data Collection: The first step is to gather data. This data may contain transaction histories, client information, and past fraud incidents in the context of fraud detection.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. When necessary, train and retrain systems.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

APRIL 25, 2024

(with Example) Spatial analysis , commonly referred to as geospatial data science is a geographical solution that combines data science with geographic solutions like geographic information systems (GIS).In We apply Geospatial analytics techniques to gather insights from spatial datasets.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

MAY 12, 2023

You may encounter unstructured data in the form of text documents, which can be plain text files (.txt), html), and other word processing formats. As a form of electronic communication, emails often contain unstructured text data and various file attachments, such as images, documents, or spreadsheets. doc,docx), PDF files (.pdf),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. Throughout the research paper writing process, it is crucial to have a clear understanding of the assignment and choose a relevant and engaging topic.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 18, 2024

However, while anyone may access raw data, you can extract relevant and reliable information from the numbers that will determine whether or not you can achieve a competitive edge for your company. When people speak about insights in data science, they generally mean one of three components: What is Data?

Data Science 52

Data Science Media Food Data 52

U-Next

JUNE 29, 2022

Layers of big data components compiled together to form a stack, and it isn’t as straightforward as collecting data and converting it into knowledge. . Data must be consumed from many sources, translated and stored, and then processed before being presented understandably. Extract Load and transform (ELT) .

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. Who is a Data Scientist?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Key Big Data characteristics. Velocity is the speed at which the data is generated and processed.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Work closely with software engineers and data scientists. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

DataKitchen

MARCH 16, 2023

Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data. The Active Data Ratio metric determines the percentage of datasets that deliver value. The Data Change Request Ratio metric measures the rate of business demand for data. But what are errors?

Data Analytics 52

Data Analytics Manufacturing Data Process 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52