ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

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 Aggregated Data Data Pipeline Data Validation 52

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. A data engineer a technical job role that falls under the umbrella of jobs related to big data. for working on cloud data warehouses.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

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. Business Intelligence - ETL is a key component of BI systems for extracting and preparing data for analytics.

BI 45

BI ETL Tools Retail Healthcare 45

Knowledge Hut

JANUARY 19, 2024

The process of gathering, storing, mining, and analyzing data comes under business intelligence. Under BI, all the data a company generates gets stored and used to make significant business growth decisions and multiply the revenue. What is Business Intelligence? What is Business Intelligence?

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

ProjectPro

JUNE 6, 2025

Google BigQuery BigQuery is a fully-managed, serverless cloud data warehouse by Google. It facilitates business decisions using data with a scalable, multi-cloud analytics platform. Additionally, it has excellent machine learning and business intelligence capabilities.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

Maxime Beauchemin

AUGUST 28, 2017

Consensus seeking Whether you think that old-school data warehousing concepts are fading or not, the quest to achieve conformed dimensions and conformed metrics is as relevant as it ever was. The data warehouse needs to reflect the business, and the business should have clarity on how it thinks about analytics.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

ProjectPro

JUNE 6, 2025

Today, data engineers are constantly dealing with a flood of information and the challenge of turning it into something useful. The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process.

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

ProjectPro

JUNE 6, 2025

Transform- Data is validated, cleaned, and modified in the staging area so that you can integrate it with a target system. Load- Finally, you can store the data in a data warehouse or other storage systems. ELT involves three core stages- Extract- Importing data from the source server is the initial stage in this process.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

Knowledge Hut

JUNE 28, 2023

The answer lies in the strategic utilization of business intelligence for data mining (BI). Data Mining vs Business Intelligence Table In the realm of data-driven decision-making, two prominent approaches, Data Mining vs Business Intelligence (BI), play significant roles.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

Christophe Blefari

JUNE 21, 2024

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. Databricks is focusing on simplification (serverless, auto BI 2 , improved PySpark) while evolving into a data warehouse.

Metadata 147

Metadata Data Warehouse BI Scala 147

Monte Carlo

JANUARY 20, 2024

The future of business intelligence (BI) is inextricably linked to the future of data. As the amount of data companies create and consume grows exponentially, the speed and ease with which you can access and rely upon that data is going to be more important than ever before.

Business Intelligence 52

Business Intelligence BI Raw Data Consulting 52

ProjectPro

JUNE 6, 2025

They often deal with big data (structured, unstructured, and semi-structured) to generate reports to identify patterns, gain valuable insights, and produce visualizations easily deciphered by stakeholders and non-technical business users. Ensuring the accessibility and accuracy of data acquired by data analysts and data scientists.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Traditional ETL processes have long been a bottleneck for businesses looking to turn raw data into actionable insights. Amazon, which generates massive volumes of data daily, faced this exact challenge. This integration allows for real-time data processing and analytics, reducing latency and simplifying data workflows.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

Edureka

SEPTEMBER 11, 2023

Businesses have more data than ever, including how customers interact with them and what they do on social media, as well as how much inventory they have and how much money they make. In this situation, Business Intelligence (BI) platforms become an important way to make sense of all this data.

Business Intelligence 52

Business Intelligence BI Database-centric Raw Data 52

Edureka

MAY 27, 2025

This guide compares their features, architecture, pricing, and use cases to help you decide which is the best fit for your data strategy. Combining services like Power BI, Azure Synapse Analytics, and Azure Data Factory into a unified, collaborative environment aims to streamline the data ecosystem. What is Microsoft Fabric?

BI 40

BI Data Lake Business Intelligence Raw Data 40

ProjectPro

JUNE 6, 2025

Spark Projects for Data Engineers Learn to Write Spark Applications using Spark 2.0 Analysis and Visualization on Yelp Dataset Explore more Apache Spark Data Engineering Projects here. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Apache Hive 3 features in the latest HDP 3.0

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

U-Next

SEPTEMBER 7, 2022

As data generation and consumption continue to soar, Business Intelligence (BI) has become more relevant in this digital world. With the data generation of more than 2.5 quintillion bytes daily , the significance of Big Data and Data Analytics can be recognized. What Is Business Intelligence Dashboard? .

Business Intelligence 52

Business Intelligence BI Finance Raw Data 52

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. What is a Business Intelligence Dashboard?

Business Intelligence 52

Business Intelligence BI Data Lake Data Warehouse 52

ProjectPro

JUNE 6, 2025

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

ProjectPro

JUNE 6, 2025

Table of Contents Why are Data Cleaning Techniques Important? Data Cleaning Techniques in Machine Learning Data Cleaning Process in Data Mining. As you set your foot in the data world, the first thing you come across is handling data, and by that, we mean cleaning data.

Data Mining 45

Data Mining Machine Learning Data Cleanse Data Warehouse 45

Sync Computing

NOVEMBER 7, 2024

Data volume and velocity, governance, structure, and regulatory requirements have all evolved and continue to. Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

ProjectPro

JUNE 6, 2025

It offers a comprehensive suite of services, including data movement, data science , real-time analytics, and business intelligence. It simplifies analytics needs by providing data lake, data engineering, and data integration capabilities all in one platform. FAQs on Microsoft Fabric 1.

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40

Knowledge Hut

DECEMBER 26, 2023

The strategic, tactical, and operational business decisions of a company are directly impacted by Business intelligence. BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. What is Business Intelligence (BI)?

Business Intelligence 52

Business Intelligence BI Data Mining Data Storage 52

Monte Carlo

AUGUST 6, 2024

Data warehouses are the centralized repositories that store and manage data from various sources. They are integral to an organization’s data strategy, ensuring data accessibility, accuracy, and utility. However, beneath their surface lies a host of invisible risks embedded within the data warehouse layers.

Data Warehouse 52

Data Warehouse Raw Data BI Business Intelligence 52

ProjectPro

JUNE 6, 2025

A data science pipeline is a structured process that involves gathering raw and unstructured data from multiple sources, processing it through transformations like filtering and aggregating, and storing it in a data warehouse for analysis. Why is a Data Science Pipeline Important?

Data Science 40

Data Science Building AWS Data Lake 40

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. On the other hand, a data warehouse contains historical data that has been cleaned and arranged. . What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Check out this ultimate guide to explore the fascinating world of ETL with Python and discover why it's the top choice for modern data enthusiasts. Python ETL really empowers you to transform data like a pro. ETL, which stands for Extract, Transform, Load, is a crucial process in data integration and data warehousing.

Python 40

Python ETL Tools Data Warehouse Programming Language 40

ProjectPro

JUNE 6, 2025

AWS Glue AWS Glue is an extract, transform, and load (ETL) service that is completely managed and makes it simple for users to prepare and store their data for analytics. Before importing data into a data lake or data warehouse, AWS Glue is also responsible for conducting data transformation to the desired schema.

AWS 40

AWS Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Insurance Data List of documents required for processing auto insurance requests. Client's Raw data A document explaining the reason for the customer's request. This data gathered by the Data Engineer is then used further in the data analysis process by Data Analysts and Data Scientists.

Data Analysis 40

Data Analysis Data Analytics Process Insurance 40

ProjectPro

JUNE 6, 2025

A data product is thus a reusable, self-contained unit that adheres to best practices for delivering data, creating meaningful insights, and driving informed business decisions in the ever-evolving landscape of data analytics and business intelligence. Why do businesses need quality data products?

Pipeline-centric 40

Pipeline-centric Database-centric Raw Data Data Warehouse 40

Data Engineering Podcast

DECEMBER 11, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.

Data Warehouse 100

Data Warehouse Data Lake Raw Data BI 100

ProjectPro

JUNE 6, 2025

It is popular for its versatility and ease of use, making it suitable for batch and streaming data ingestion scenarios. Learn more about how NiFi helps ingest real-time data efficiently by working on this Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi Project.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

An ETL (Extract, Transform, Load) Data Engineer is responsible for designing, building, and maintaining the systems that extract data from various sources, transform it into a format suitable for data analysis, and load it into data warehouses, lakes, or other data storage systems.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

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