Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

databricks

OCTOBER 14, 2024

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

SQL 329

SQL Data Warehouse 329

Dataconomy

OCTOBER 17, 2023

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

databricks

OCTOBER 23, 2024

Migrating your data warehouse workloads is one of the most challenging yet essential tasks for any organization. Whether the motivation is the growth.

Data Warehouse 291

Data Warehouse 291

databricks

FEBRUARY 12, 2023

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.

Data Warehouse 306

Data Warehouse SQL 306

Data Science Blog

MAY 20, 2024

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 98

Data Warehouse Data Lakes Data Governance Data Quality 98

Dataversity

DECEMBER 18, 2023

To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse.

Data Warehouse 119

Data Warehouse Analytics Analytics 119

databricks

JANUARY 25, 2023

This is a collaborative post between Databricks and Matillion. We thank David Willmer, Product Marketing at Matillion, for his contributions. As more and.

Data Warehouse 246

Data Warehouse 246

Dataversity

FEBRUARY 5, 2025

In the first part of this series, we explored how harmonizing relational database management systems (RDBMS) with data warehouses (DWH) can drive scalability, efficiency, and advanced analytics. We discussed the importance of aligning these systems strategically to balance their unique strengths while avoiding unnecessary complexity.

Data Warehouse 52

Data Warehouse Database Analytics Analytics 52

databricks

MAY 3, 2023

Caching is an essential technique for improving the performance of data warehouse systems by avoiding the need to recompute or fetch the same.

Data Warehouse 264

Data Warehouse SQL 264

Data Science Blog

FEBRUARY 7, 2023

Schon damals in Ansätzen, aber spätestens heute gilt es zu recht als Best Practise, die Datenanbindung an ein Data Warehouse zu machen und in diesem die Daten für die Reports aufzubereiten. Ein Data Warehouse ist eine oder eine Menge von Datenbanken. Was gerade zum Trend wird, ist der Aufbau eines Data Lakehouses.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

databricks

AUGUST 10, 2023

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

SQL 246

SQL Data Warehouse AI AI 246

databricks

FEBRUARY 21, 2023

Many large enterprises have used Teradata data warehouses for years, but the storage and processing costs of on-premises infrastructure severely restricted who could.

Data Warehouse 246

Data Warehouse 246

databricks

JANUARY 27, 2025

In our previous blog , we explored the methodology recommended by our Professional Services teams for executing complex data warehouse migrations to Databricks.

Data Warehouse 161

Data Warehouse 161

Dataversity

SEPTEMBER 24, 2021

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 The reason is pretty obvious – businesses want to leverage the power of data […].

Data Warehouse 97

Data Warehouse Data Quality Data Governance Cloud Data 97

Data Science Dojo

MARCH 27, 2025

Thats where data normalization comes in. Its a structured process that organizes data to reduce redundancy and improve efficiency. Whether you’re working with relational databases, data warehouses , or machine learning pipelines, normalization helps maintain clean, accurate, and optimized datasets. Simple, right?

Database 195

Database Data Warehouse Machine Learning Machine Learning 195

Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse 90

Data Warehouse Business Intelligence Business Intelligence Analytics 90

databricks

MARCH 6, 2024

This blog continues our series looking at advancements from 2023 to the serverless data warehouse Databricks SQL. The best data warehouse is.

SQL 130

SQL Data Warehouse 130

Hacker News

NOVEMBER 14, 2023

I recently blogged about why I believe the future of cloud data services is large-scale and multi-tenant, citing, among others, S3. “Top Serving customers over large resource pools provides unparalleled efficiency and reliability at scale.”

Data Warehouse 181

Data Warehouse Cloud Data Database 181

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cloud Data Data Governance Database 69

Data Science Dojo

SEPTEMBER 6, 2023

M aintaining the security and governance of data within a data warehouse is of utmost importance. Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information.

Data Warehouse 195

Data Warehouse Data Governance Data Quality ETL 195

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Organisationen können je nach ihren spezifischen Bedürfnissen und Anforderungen zwischen einem Data Warehouse und einem Data Lakehouse wählen.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Dataversity

NOVEMBER 2, 2023

Among these advancements is modern data warehousing, a comprehensive approach that provides access to vast and disparate datasets. The concept of data warehousing emerged as organizations began to […] The post The Data Warehouse Development Lifecycle Explained appeared first on DATAVERSITY.

Data Warehouse 59

Data Warehouse Data Modeling Data Models 59

Pickl AI

FEBRUARY 3, 2025

Summary: A Data Warehouse consolidates enterprise-wide data for analytics, while a Data Mart focuses on department-specific needs. Data Warehouses offer comprehensive insights but require more resources, whereas Data Marts provide cost-effective, faster access to focused data.

Data Warehouse 52

Data Warehouse Analytics Analytics Database 52

IBM Journey to AI blog

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

Analytics Vidhya

FEBRUARY 6, 2023

To make these processes efficient, data pipelines are necessary. Data engineers specialize in building and maintaining these data pipelines that underpin the analytics ecosystem. In this blog, we will […] The post How to Implement a Data Pipeline Using Amazon Web Services?

Data Pipeline 271

Data Pipeline Data Engineering Data Engineering Data Engineer 271

databricks

JUNE 14, 2023

It's been only 18 months since we announced Databricks SQL general availability - the serverless data warehouse on the Lakehouse - and we.

SQL 130

SQL Data Warehouse AI AI 130

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

Data Warehouse 98

Data Warehouse Data Lakes Database Business Intelligence 98

Dataversity

MAY 6, 2022

An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].

Data Warehouse 98

Data Warehouse Data Lakes Database 98

Data Science Blog

JULY 20, 2024

Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien.

Azure 130

Azure SQL Power BI Data Lakes 130

Data Science Blog

MARCH 30, 2023

Eine bessere Idee ist es daher, Event Logs nicht in einzelnen Process Mining Tools aufzubereiten, sondern zentral in einem dafür vorgesehenen Data Warehouse zu erstellen, zu katalogisieren und darüber auch die grundsätzliche Data Governance abzusichern. appeared first on Data Science Blog.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Data Science Dojo

FEBRUARY 1, 2023

Introduction Dedicated SQL pools offer fast and reliable data import and analysis, allowing businesses to access accurate insights while optimizing performance and reducing costs. DWUs (Data Warehouse Units) can customize resources and optimize performance and costs.

Azure 195

Azure SQL Analytics Analytics 195

Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

Data Governance 111

Data Governance Data Warehouse Cloud Data Analytics 111

Dataversity

SEPTEMBER 20, 2024

However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured.

Data Lakes 97

Data Lakes Data Warehouse 97