ProjectPro

JUNE 6, 2025

Are you looking to choose the best cloud data warehouse for your next big data project? This blog presents a detailed comparison of two of the very famous cloud warehouses - Redshift vs. BigQuery - to help you pick the right solution for your data warehousing needs. billion by 2028 from $21.18

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Are you looking for data warehouse interview questions and answers to prepare for your upcoming interviews? This guide lists top interview questions on the data warehouse to help you ace your next job interview. The data warehousing market was worth $21.18 What are the different types of data warehouses?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Snowflake

MAY 27, 2025

Honeydews Semantic Layer revolutionizes the way data teams collaborate on business intelligence and deliver impactful data-driven insights. Underpinning Honeydew's approach is our shared vision that semantics should live in the data warehouse.

Business Intelligence 98

Business Intelligence BI Government Metadata 98

databricks

JUNE 11, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Entertainment 132

Entertainment Manufacturing Consulting Professional Services 132

ProjectPro

JUNE 6, 2025

The worldwide data warehousing market is expected to be worth more than $30 billion by 2025. Data warehousing and analytics will play a significant role in a company’s future growth and profitability. Table of Contents What is Data Warehousing? Why Data Warehouse Projects Fail? So let's get started!

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

Data Engineering Podcast

NOVEMBER 6, 2021

Summary Business intelligence is often equated with a collection of dashboards that show various charts and graphs representing data for an organization. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Business Intelligence 100

Business Intelligence PostgreSQL BI Data Warehouse 100

Data Engineering Podcast

DECEMBER 4, 2022

Summary Business intelligence is the foremost application of data in organizations of all sizes. Zing Data is building a mobile native platform for business intelligence. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

ProjectPro

JUNE 6, 2025

Today, businesses use traditional data warehouses to centralize massive amounts of raw data from business operations. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties. Table of Contents AWS Redshift Data Warehouse Architecture 1. Clusters 3.

Data Pipeline 64

Data Pipeline AWS Project Building 64

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 114

Data Lake Data Warehouse Cloud Unstructured Data 114

databricks

JUNE 12, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

BI 92

BI Entertainment Manufacturing Consulting 92

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 189

Data Engineering Data Engineer Engineering Building 189

ProjectPro

JUNE 6, 2025

Before we dive further into the comparison between ETL developers and other data industry job titles, let us first understand what is an ETL developer, what are the necessary skills and responsibilities associated with the role, etc. Begin simply by loading a sample dataset from a Kaggle competition into a data warehouse as a starting point.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

databricks

JUNE 11, 2025

Product December 12, 2024 / 4 min read Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Entertainment 82

Entertainment Data Lake Manufacturing Consulting 82

ProjectPro

JUNE 6, 2025

Showcase Your Data Engineering Skills with ProjectPro's Complete Data Engineering Certification Course ! This book is intended for data warehouse designers, developers, architects, business analysts, data analysts, and database administrators. PREVIOUS NEX T <

Data Engineering 45

Data Engineering Data Engineer Engineering Lambda Architecture 45

databricks

JUNE 11, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Entertainment 76

Entertainment Manufacturing Consulting Professional Services 76

Data Engineering Podcast

MAY 1, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

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

ProjectPro

JUNE 6, 2025

So, read on to discover these essential tools for your data management needs. Table of Contents What are Data Warehousing Tools? Why Choose a Data Warehousing Tool? Data warehousing tools are software applications designed to collect, store, manage, and analyze large volumes of data from various sources within an organization.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Cloudera

MARCH 2, 2022

This memory efficiency and performance optimization, as well as many others in Impala, is what makes it the preferred choice for business intelligence and analytics workloads, especially at scale. A recent benchmark by a third party shows how Cloudera has the best price-performance on the cloud data warehouse market.

Data Warehouse 89

Data Warehouse Bytes Data Business Intelligence 89

DataKitchen

JUNE 6, 2025

The Data Team Is Diverse—But Unified By the Need for Quality A modern data team is a mosaic of specialized roles. According to Gartner’s breakdown of analytics and data roles , data teams now span far beyond traditional data engineering and business intelligence (BI) analysts.

Data Ingestion 73

Data Ingestion Data Governance Government Data 73

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

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lake 222

Data Lake Business Intelligence Designing Accessible 222

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 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

Edureka

MAY 27, 2025

Microsoft Fabric is a next-generation data platform that combines business intelligence, data warehousing, real-time analytics, and data engineering into a single integrated SaaS framework. For workloads involving structured data, it offers governed SQL-based analytics with excellent performance.

Architecture 52

Architecture BI Data Lake Business Intelligence 52

ProjectPro

JUNE 6, 2025

Learn to Interact with the DBMS Systems Many companies keep their data warehouses far from the stations where data can be accessed. The role of a data engineer is to use tools for interacting with the database management systems. for working on cloud data warehouses.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

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

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

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 130

Data Engineering Data Engineer Engineering Building 130

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

Knowledge Hut

JANUARY 19, 2024

The key has the right tools, starting with knowing what data is important for your business. Business intelligence (BI) and business analytics (BA) are two terms that are often used interchangeably, but there is some important difference between business intelligence and business analytics.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

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

Snowflake

NOVEMBER 11, 2024

This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance). Commercially, we heard AI use cases around treasury services, fraud detection and risk analytics. What do these all have in common?

Banking 96

Banking Finance Retail Food 96

Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Data Ingestion 52

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

Data Engineering Podcast

DECEMBER 18, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Data Lake Business Intelligence MongoDB 130

phData: Data Engineering

FEBRUARY 21, 2025

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. We will explore the different options for data warehousing and how you can leverage this information to make the right decisions for your organization. Understanding the Basics What is a Data Warehouse?

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52