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. Client Applications 2.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

This helps data scientists and business analysts access and analyze all the data at their disposal. To gain a deeper understanding of Databricks Delta Lake and how it can revolutionize the way we approach data management, read on. But, with the advent of Big Data, data warehouses alone could not meet the business needs.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

databricks

JUNE 11, 2025

AI Functions in SQL: Now Faster and Multi-Modal AI Functions enable users to easily access the power of generative AI directly from within SQL. GPU-powered AI workloads are now more accessible than ever, with this fully managed service eliminating the complexity of GPU management.

Entertainment 108

Entertainment Manufacturing Consulting Professional Services 108

ProjectPro

JUNE 6, 2025

Hadoop offers an ideal platform for running BI applications, allowing businesses to uncover hidden patterns, identify trends, and make better decisions by analyzing stored data. For instance, e-commerce companies like Amazon and Flipkart use Hadoop-based BI solutions to gain insights into customer behavior, preferences, etc.,

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineer 94

Data Engineer Data Engineering Engineering Amazon Web Services 94

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

Data Analyst Skills of a Data Analyst Responsibilities of a Data Analyst Data Analyst Salary How to Transition from ETL Developer to Data Analyst? ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ThoughtSpot

JANUARY 15, 2025

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, theyve alienated data teams, relegating analysts to disjointed tools and data silos. Need to perform advanced analytics ? No problem.

BI 64

BI SQL Data Warehouse Raw Data 64

Data Engineering Podcast

FEBRUARY 8, 2021

In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Edureka

APRIL 22, 2025

The company wants to combine its sales, inventory, and customer data in order to facilitate real-time reporting and predictive analytics. Azure, Power BI, and Microsoft 365 are already widely used by ShopSmart, which is in line with Fabric’s integrated ecosystem. Next, we will see what Snowflake is What is Snowflake?

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

allow data engineers to acquire, analyze, process, and manage huge volumes of data simply and efficiently. Visualization tools like Tableau and Power BI allow data engineers to generate valuable insights and create interactive dashboards. It can also access structured and unstructured data from various sources.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

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

Data Engineering Podcast

JANUARY 18, 2021

Summary The data warehouse has become the central component of the modern data stack. This is an interesting conversation about the importance of the data warehouse and how it can be used beyond just internal analytics. How do you keep data up to date between the warehouse and downstream systems?

Data Warehouse 100

Data Warehouse BI Data Database 100

Knowledge Hut

JANUARY 24, 2024

Step into the realm of data visualization with a comprehensive exploration of Power BI and Tableau. In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. We are talking about tableau vs power bi market share using features, interfaces and performance.

BI 98

BI Business Intelligence Non-relational Database Certification 98

ProjectPro

JUNE 6, 2025

Data modeling enables the organization's departments to work together as a unit. It makes data more accessible. What does "data sparsity" imply? The number of blank cells in a database is known as data sparsity. In a data model, it describes the amount of data that is available for a specific dimension.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

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

Edureka

MAY 27, 2025

OneLake Data Lake OneLake provides a centralized data repository and is the fundamental storage layer of Microsoft Fabric. It preserves security and governance while facilitating smooth data access across all Fabric services. Throughout the Fabric ecosystem, it facilitates smooth orchestration.

Architecture 52

Architecture BI Data Lake Business Intelligence 52

ProjectPro

JUNE 6, 2025

Azure Synapse and Databricks are two of the most popular data warehouse platforms that offer features of ETL pipelines, machine learning , and enterprise data warehousing. But when it comes to choosing the two platforms, it is up to the organization to assess its data management needs.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

Microsoft's Azure Synapse Analytics (formerly SQL Data Warehouse) is a cloud data warehouse that combines data integration , data exploration, enterprise data warehousing, and big data analytics to offer a unified workspace for creating end-to-end analytics solutions.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

Edureka

JUNE 13, 2024

Power BI has a feature named Query Folding at the backend that can significantly improve your analysis. Understanding Query Folding How to Find If Your Power BI Data Source Supports Query Folding? In other words, it acted as an input data source, taking much of the work on data processing and transferring within Power BI.

BI 81

BI Raw Data SQL MongoDB 81

Snowflake

MAY 27, 2025

Underpinning Honeydew's approach is our shared vision that semantics should live in the data warehouse. A shared truth starts with a shared language for people, for tools, for data transformation, says Honeydews Co-Founder and CEO, David Krakov. The tangible impact of Honeydew is clear. Just ask Pizza Hut.

Business Intelligence 98

Business Intelligence BI Government Metadata 98

ProjectPro

JUNE 6, 2025

Designing and managing data flows to support analytical initiatives is the core responsibility of a data engineer. The main challenge is creating a flow that merges data from multiple sources into a data warehouse or shared location. It quickly integrates and transforms cloud-based data.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

JUNE 6, 2025

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Multiple career options are available in the business intelligence domain- BI analysts , BI engineers, BI developers, etc.

Business Intelligence 40

Business Intelligence Engineering BI Data Warehouse 40

Striim

NOVEMBER 19, 2024

This fully managed service leverages Striim Cloud’s integration with the Microsoft Fabric stack for seamless data mirroring to Fabric Data Warehouse and Lake House. Microsoft Azure Fabric is an end-to-end analytics and data platform designed for enterprises that require a unified solution.

SQL 52

SQL Database Data Warehouse Data Pipeline 52

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

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 Engineer Data Engineering Engineering 40

Data Engineering Weekly

FEBRUARY 2, 2025

The article advocates for a "shift left" approach to data processing, improving data accessibility, quality, and efficiency for operational and analytical use cases. link] Get Your Guide: From Snowflake to Databricks: Our cost-effective journey to a unified data warehouse.

Data Engineer 58

Data Engineer Data Engineering Engineering Data Lake 58

ProjectPro

JUNE 6, 2025

Here's an overview of the key components within Microsoft Fabric: Data Engineering The Data Engineering component provides a top-tier Spark platform with intuitive authoring tools that enable data engineers to conduct large-scale data transformations and democratize data access through the lakehouse.

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40

ProjectPro

JUNE 6, 2025

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. What is Business Intelligence?

Business Intelligence 56

Business Intelligence BI Data Mining Raw Data 56

Christophe Blefari

NOVEMBER 11, 2022

I'll speak about "How to build the data dream team" Let's jump onto the news. Ingredients of a Data Warehouse Going back to basics. Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. And he does it well. The end-game dataset.

BI 130

BI Data Warehouse Data Database 130

ProjectPro

JUNE 6, 2025

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

Data Engineering Podcast

APRIL 16, 2023

Summary Business intellingence has been chasing the promise of self-serve data for decades. As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. Self-serve data exploration has been attempted in myriad ways over successive generations of BI and data platforms.

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

JANUARY 8, 2023

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

JANUARY 15, 2023

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

JANUARY 29, 2023

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

Business Intelligence 130

Business Intelligence PostgreSQL Building BI 130

Towards Data Science

DECEMBER 10, 2024

Take advantage of old school databasetricks In the last 1015 years weve seen massive changes to the data industry, notably big data, parallel processing, cloud computing, data warehouses, and new tools (lots and lots of newtools). Consequently, weve had to say goodbye to some things to make room for all this new stuff.

PostgreSQL 75

PostgreSQL Data SQL Python 75

Preset

NOVEMBER 13, 2023

In MetaMap’s customer identity platform, MetaMap makes it available for its merchants to access real-time usage and verification metrics. Furthermore, it enables MetaMap’s customer success and data teams to address questions and issues related to the merchant usage metrics more quickly.

BI 52

BI Business Intelligence Data Warehouse SQL 52