Edureka

SEPTEMBER 23, 2024

Data Science is an applied science that deals with the process of obtaining valuable information from structured and unstructured data. They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data.

Data Science 40

Data Science Data Mining Computer Science Finance 40

Monte Carlo

MAY 28, 2024

Data Validation : Perform quality checks to ensure the data meets quality and accuracy standards, guaranteeing its reliability for subsequent analysis. Data Storage : Store validated data in a structured format, facilitating easy access for analysis. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 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. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Meltano

OCTOBER 5, 2022

This involves continually striving to reduce wasted effort, identify gaps and correct them, and improve data development and deployment processes. While definitions of each of these roles may vary across organizations, each is responsible for making data available to data analysts, scientists, and other team members who depend on it.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 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 Raw Data 52

Knowledge Hut

APRIL 25, 2024

Contrarily, Data Wrangling is done during iterative analysis and model construction. Data exploration The initial phase in data analysis is called data exploration, and it involves looking at and visualizing data to find insights right away or point out regions or patterns that need further investigation.

Big Data 52

Big Data Data Analytics Manufacturing Retail 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. Assess the needs and goals of the business.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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

Knowledge Hut

MARCH 27, 2024

A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. 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.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JANUARY 24, 2024

A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine. In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Knowledge Hut

JUNE 16, 2023

Analyzing data with statistical and computational methods to conclude any information is known as data analytics. Finding patterns, trends, and insights, entails cleaning and translating raw data into a format that can be easily analyzed. Data visualization is one of the top skills for data analysts.

Programming Language 52

Programming Language Data Science Cloud Computing Data Analytics 52

ProjectPro

JANUARY 27, 2023

You have probably heard the saying, "data is the new oil". It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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 27, 2023

A business generates data daily related to production, sales, marketing , customer feedback, team structure, costs, and other metrics. Sometimes it isn't easy to get a clear picture of the business because of unstructured data, and data visualization benefits the company by visually structuring the data.

Telecommunication 52

Telecommunication Bytes Machine Learning Data Science 52

Knowledge Hut

DECEMBER 22, 2023

Power BI is a technology-driven business intelligence tool or an array of software services, apps, and connectors to convert unrelated and raw data into visually immersive, coherent, actionable, and interactive insights and information. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 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 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Coding Coding is the wizardry behind turning data into insights.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

APRIL 23, 2024

This offers insightful data on consumer behavior and preferences, facilitating strategic decision-making and customer-focused tactics. Real-time Customer Data Analysis for Personalized Interactions: Big data analytics provides real-time customer data analysis, enabling businesses to personalize consumer interactions right away.

Big Data 52

Big Data Recruitment Retail Transportation 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

JANUARY 25, 2024

Automated data validation tools can also help detect anomalies, outliers, and inconsistencies. Language Translation: Unifying the Message Maintain consistency by keeping your data in one language. Most data analysis tools work best with single-language data. Is data cleaning done manually?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

AltexSoft

MAY 12, 2022

Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. Audio Toolbox by MathWorks offers numerous instruments for audio data processing and analysis, from labeling to estimating signal metrics to extracting certain features.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

U-Next

SEPTEMBER 23, 2022

According to reports , Netflix saves $1 billion annually by enhancing its client retention strategy with data analytics. What data analysis techniques are companies using to produce these great results? . It offers data that makes it easier to comprehend how the company is doing on a global scale. Predictive Analysis.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

AltexSoft

MAY 14, 2021

Modern technologies allow gathering both structured (data that comes in tabular formats mostly) and unstructured data (all sorts of data formats) from an array of sources including websites, mobile applications, databases, flat files, customer relationship management systems (CRMs), IoT sensors, and so on. Data analysis.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

NOVEMBER 10, 2021

A data warehouse (DW) is a centralized repository for data accumulated from an array of corporate sources like CRMs, relational databases , flat files, etc. Typically used for data analysis and reporting, data warehouses rely on ETL mechanisms to extract , transform , and load data into a destination.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59