DataKitchen

NOVEMBER 5, 2024

It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ? Bronze, Silver, and Gold – The Data Architecture Olympics? The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.

Architecture 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

Monte Carlo

JULY 30, 2024

The six dimensions of data quality are accuracy, completeness, integrity, validity, timeliness, and uniqueness. By ensuring these data quality dimensions are met, data teams can better support downstream business intelligence use cases, building data trust. What are the 7 Data Quality Dimensions?

Data Validation 96

Data Validation Datasets Medical Raw Data 96

Cloudyard

DECEMBER 24, 2024

In this blog, well explore Building an ETL Pipeline with Snowpark by simulating a scenario where commerce data flows through distinct data layersRAW, SILVER, and GOLDEN.These tables form the foundation for insightful analytics and robust business intelligence. Enrich and clean data for downstream analytics.

Building 52

Building Raw Data Scala Business Intelligence 52

U-Next

MARCH 7, 2023

Define Data Wrangling The process of data wrangling involves cleaning, structuring, and enriching raw data to make it more useful for decision-making. Data is discovered, structured, cleaned, enriched, validated, and analyzed. Values significantly out of a dataset’s mean are considered outliers.

Data Mining 96

Data Mining Government Scala Data Governance 96

Ascend.io

OCTOBER 28, 2024

What is Data Transformation? Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 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. Conclusion A business can reach new heights by using the Power BI tool.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

DECEMBER 22, 2023

Linear Algebra Linear Algebra is a mathematical subject that is very useful in data science and machine learning. A dataset is frequently represented as a matrix. Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer in the Data Science team is responsible for this sort of data manipulation. Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Knowledge Hut

DECEMBER 7, 2023

Welcome to the comprehensive guide for beginners on harnessing the power of Microsoft's remarkable data visualization tool - Power BI. In today's data-driven world, the ability to transform raw data into meaningful insights is paramount, and Power BI empowers users to achieve just that. What is Power BI?

BI 52

BI Raw Data Datasets Business Intelligence 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for data professionals with business intelligence skills has increased significantly in recent years. With technological advancements and digital transformations, businesses are taking data very seriously. In today's business environment, data is an invaluable asset.

BI 52

BI Business Intelligence Raw Data Data Analysis 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

Knowledge Hut

DECEMBER 7, 2023

Given the rising importance of data with each passing day, I believe I will continue doing so in the coming years. Introducing Microsoft Power BI , a leading solution in this domain, which enables users to transform raw data into insightful visualizations and reports. What Is Power BI?

BI 52

BI Certification Business Intelligence Raw Data 52

Knowledge Hut

SEPTEMBER 6, 2023

It will help you master the skill of deriving insights from raw data and use cutting edge tools to develop models which can help in making viable business decisions. Eligibility - There are no prerequisites required in order to complete this certification, hence anyone willing to take up data science can do so.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

NOVEMBER 27, 2023

This is important because this will help you understand what areas to focus on while following the Data Science Learning Path. Is it the part where you turn raw data into useful ones, or it the part where you engineer new features out of the existing ones in order to help create suitable models?

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

MAY 30, 2024

While a single research paper is not enough to bring the light on an entire domain as vast as machine learning; it can help you witness how applicable it is in numerous fields, like engineering, data science & analysis, business intelligence, and many more. Welcome to the world of data-driven insights!

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Edureka

JANUARY 2, 2025

Microsoft created Power BI , a quickly expanding business intelligence (BI) tool and data visualization program, to revolutionize how businesses use data analytics to address business issues. You will often need to work around several features to get the most out of business data with Microsoft Power BI.

BI 52

BI Datasets Business Intelligence Data Analysis 52

Monte Carlo

AUGUST 23, 2024

Fact tables capture the quantitative essence of business events – sales, clicks, shipments. Together, they transform data from a source of frustration into a navigable landscape of business intelligence. Understanding these concepts is crucial in today’s data-centric world. What are Dimension Tables?

Data Warehouse 52

Data Warehouse Raw Data Datasets Business Intelligence 52

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 Certification 52

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. The work of a Power BI developer is to take data in its raw form, derive meaning, and make sense of it.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Monte Carlo

FEBRUARY 15, 2023

A data warehouse is an online analytical processing system that stores vast amounts of data collected within a company’s ecosystem and acts as a single source of truth to enable downstream data consumers to perform business intelligence tasks, machine learning modeling, and more. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

OCTOBER 4, 2023

Power BI is a popular and widely used business intelligence tool in the data world. A report from Microsoft has manifested that around 50,000 companies have been using Power BI to clean, model, transform and visualize their data. If this trend continues to evolve, it will nearly double by 2025.

BI 52

BI Systems Raw Data Data Preparation 52

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

AUGUST 16, 2024

Mathematics / Stastistical Skills While it is possible to become a Data Scientist without a degree, it is necessary to have Mathematical skills to become a Data Scientist. Let us look at some of the areas in Mathematics that are the prerequisites to becoming a Data Scientist.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Monte Carlo

APRIL 24, 2023

While we won’t get into the minutia of every consideration for every level of the data stack, it’s important to recall these five considerations as they’ll nonetheless steer the direction of our conversation. Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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

Knowledge Hut

SEPTEMBER 27, 2023

Meanwhile, Salesforce serves as a versatile Customer Relationship Management (CRM) platform, ideal for data collection, workflow management, and business insights. Knowledgehut has multiple Business Intelligence courses online where you could learn about more such tools. and the steps included in the form of the tasks.

BI 52

BI Datasets Data Security Data Analysis 52

Knowledge Hut

JANUARY 19, 2024

Embracing data science isn't just about understanding numbers; it's about wielding the power to make impactful decisions. Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. Unveiling patterns hidden in vast datasets.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

AltexSoft

JANUARY 26, 2022

For more detailed information on data science team roles, check our video. An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets so that different users within the company can work with them. Data modeling. What is an analytics engineer?

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

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

Edureka

AUGUST 2, 2023

Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

MARCH 18, 2024

Data Analytics involves the process of gathering, cleaning, analyzing, and interpreting data to derive actionable insights. It utilizes statistical analysis, machine learning algorithms, and data visualization techniques to uncover patterns, trends, and correlations within datasets.

Data Analytics 52

Data Analytics Project Management Programming Language 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

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52