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 57

Data Warehouse Cloud Data Database Analytics 57

Dataversity

JANUARY 25, 2023

The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 52

Data Warehouse Data Lakes Cloud Computing Data Pipeline 52

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 106

Data Lakes Data Warehouse Big Data Big Data 106

Dataversity

OCTOBER 28, 2022

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. The post Developing Agile Data Warehouse Architecture Using Automation appeared first on DATAVERSITY.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence 52

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

Dataversity

MARCH 10, 2023

Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […] The post A Powerful Pair: Modern Data Warehouses and Machine Learning appeared first on DATAVERSITY.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Predictive Analytics 52

Dataversity

AUGUST 9, 2021

Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series.

Data Warehouse 52

Data Warehouse Data Governance Data Quality 52

Dataversity

AUGUST 9, 2021

Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series.

Data Warehouse 52

Data Warehouse Data Governance Data Quality 52

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

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

Data Lakes 59

Data Lakes Data Warehouse Data Quality Data Governance 59

Dataversity

APRIL 21, 2022

SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […].

Data Warehouse 52

Data Warehouse Database 52

Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Each business often uses one or more data […].

Data Warehouse 52

Data Warehouse ETL Data Governance Data Quality 52

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

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 220

SQL Data Warehouse AI AI 220

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

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

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 190

Data Warehouse 190

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 228

Data Warehouse SQL 228

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 210

Data Warehouse 210

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

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 198

Data Warehouse SQL 198

ODSC - Open Data Science

MAY 7, 2024

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business? Let’s take a closer look.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

Data Warehouse 259

Data Warehouse Azure SQL Database 259

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

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Data Warehouse 57

Data Warehouse Data Engineering Data Engineer Data Engineering 57

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

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

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

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

Dataversity

FEBRUARY 13, 2024

Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. You’re not alone.

Data Warehouse 59

Data Warehouse Analytics Analytics Data Governance 59

The Data Administration Newsletter

FEBRUARY 1, 2022

In this blog, we will discuss a common problem for data warehouses that are designed to maintain data quality and provide evidence of accuracy. Without verification, the data can’t be trusted. Enter the mundane, but necessary, task of data reconciliation. This is often a time-consuming and wasteful process.

Data Warehouse 59

Data Warehouse Data Quality Data Governance 59

Data Science Connect

JANUARY 27, 2023

It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible. Learn about data modeling: Data modeling is the process of creating a conceptual representation of data.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

SQL 52

SQL Azure Data Warehouse Cloud Data 52

phData

AUGUST 9, 2023

If you’ve been watching how Snowflake Data Cloud has been growing and changing over the years, you’ll see that two tools have made very large impacts on the Modern Data Stack: Fivetran and dbt. This is unlike the more traditional ETL method, where data is transformed before loading into the data warehouse.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Dataversity

MARCH 2, 2022

Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical.

Data Quality 52

Data Quality Data Warehouse Cloud Data Data Governance 52