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

JUNE 28, 2023

By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs. Parameter Data Mining Business Intelligence (BI) Definition The process of uncovering patterns, relationships, and insights from extensive datasets.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

JUNE 9, 2021

As we proceed further into the blog, you will find some statistics on data engineering vs. data science jobs and data engineering vs. data science salary, along with an in-depth comparison between the two roles- data engineer vs. data scientist. vs. What does a Data Engineer do?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. Comparatively, it is more user friendly.

BI 52

BI Datasets Data Security Data Analysis 52

Grouparoo

NOVEMBER 29, 2021

Alternatively, this can be data generated by another process and then made available for subsequent processing. Therefore, the source data may be raw, unfiltered, and unrefined, or polished and fully formed. In this article, we'll look at the definition of data sources and their general types.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

Monte Carlo

FEBRUARY 15, 2023

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Grouparoo

JANUARY 11, 2022

In a dimensional approach, data partitioning techniques separately store facts and dimensions. Typically, organizational business processes and systems define the facts, while dimensions provide the metrics for the facts. What is a Data Lake? Data lakes accept and store raw data in any format.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Ascend.io

SEPTEMBER 14, 2023

In summary, Python’s combination of simplicity, power, and extensive support makes it a compelling choice for data engineering. Whether an engineer is starting on a fresh project or integrating into existing systems, Python provides the tools and community to ensure success. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

AltexSoft

MAY 12, 2022

The approach finds application in security systems for user authentication. Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. Audio data transformation basics to know. Audio data labeling. Music recognition.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

FEBRUARY 15, 2023

What is Data Analysis? Data analysis, by definition, refers to collecting data and transforming it into beneficial forms. Though data analysis seems simple and can be defined in one line, it involves several steps and technical processes. It is commonly deployed due to its versatile language support system.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

U-Next

AUGUST 3, 2022

Data Scientist roles and responsibilities have become increasingly challenging, fun, and worthwhile. . Although the term “Data Science” might imply various things to various individuals, it is essentially the use of data to provide answers to inquiries. What is a Data Scientist? Data Scientist Skills.

Retail 52

Retail Data Science Computer Science Entertainment 52

Monte Carlo

JANUARY 6, 2023

A data-informed product strategy Product teams are tasked with being data-informed at all stages in the product life cycle, from idea generation and product definition, to validating prototypes and building a commercially successful product. But so often data is not a first-class citizen in product launches. <1%).

Building 52

Building Project BI Data 52

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

Data Engineering Podcast

JANUARY 28, 2018

And what I did during my PhD, my research was focused on cell biology Gee, really, without getting into the weeds too much on that a lot of time microscopes collecting some kind of medium sized aging data. So it’s really cool to see that sort of variety of, of data collection and data usage between all those organizations.

Data 100

Data Project Electronics Data Management 100

ProjectPro

JULY 3, 2015

What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MAY 31, 2021

To build a big data project, you should always adhere to a clearly defined workflow. Before starting any big data project, it is essential to become familiar with the fundamental processes and steps involved, from gathering raw data to creating a machine learning model to its effective implementation.

Big Data 52

Big Data Coding Project Hadoop 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

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency. Outliers in the dataset are dropped, and null values are imputed.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

AUGUST 21, 2015

Data that can be stored in traditional database systems in the form of rows and columns, for example, the online purchase transactions can be referred to as Structured Data. Data that can be stored only partially in traditional database systems, for example, data in XML records can be referred to as semi-structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40