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

Analytics Vidhya

NOVEMBER 19, 2022

Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […]. The post Advantages of Using Cloud Data Platform Snowflake appeared first on Analytics Vidhya.

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Cloud Data Data Science Analytics Analytics 329

Analytics Vidhya

APRIL 1, 2023

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

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Data Warehouse SQL Big Data Big Data 306

Hacker News

AUGUST 16, 2023

Data Warehouses are great for many things but often misused for operational workloads.

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Data Warehouse Cloud Data 123

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

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ETL Data Warehouse Analytics Analytics 132

Alation

JULY 28, 2022

As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? Yet the cloud, according to Sacolick, doesn’t come cheap. “A Migrate What Matters.

Data Warehouse 69

Data Warehouse Cloud Data Data Governance Database 69

Data Science 101

MARCH 14, 2020

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines. The post Cloud Data Science 11 appeared first on Data Science 101.

Cloud Data 105

Cloud Data Data Science Data Warehouse Azure 105

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

Data Science 101

FEBRUARY 22, 2020

Welcome to Cloud Data Science 8. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. This continues a trend of cloud companies working together. Signup to be notified when it goes live.

Cloud Data 103

Cloud Data Data Science Power BI Azure 103

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.”

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Data Warehouse Cloud Data Database 181

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 […].

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Data Warehouse Data Quality Data Governance Cloud Data 97

Flipboard

FEBRUARY 26, 2025

Cloud data warehouse company Snowflake Inc. crushed Wall Streets targets as it delivered its fiscal 2025 fourth-quarter financial results today, and

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Data Warehouse Cloud Data Cloud Computing Machine Learning 106

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

Pickl AI

FEBRUARY 23, 2023

Organisations must store data in a safe and secure place for which Databases and Data warehouses are essential. You must be familiar with the terms, but Database and Data Warehouse have some significant differences while being equally crucial for businesses. What is Data Warehouse?

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Data Warehouse Database Data Analysis Data Analysis 52

phData

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?

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

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.

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Data Governance Data Warehouse Cloud Data Analytics 111

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.

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Data Lakes Data Warehouse Data Quality Data Governance 59

Data Science Dojo

SEPTEMBER 11, 2024

These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports.

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Power BI Data Pipeline Data Warehouse Data Engineering 244

Smart Data Collective

JUNE 15, 2021

It’s also possible to employ extra caching or materialized views in the data warehouse in addition to caching in Looker (depending on the capability of your data warehouse). One added tip is to aggregate your data before loading it into Looker or in the data warehouse to reduce the amount of data loaded onto the platform.

Data Warehouse 126

Data Warehouse Database SQL Data Analyst 126

Data Science 101

MARCH 14, 2020

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines. The post Cloud Data Science 11 appeared first on Ryan Swanstrom.

Cloud Data 52

Cloud Data Data Science Data Warehouse Azure 52

Smart Data Collective

OCTOBER 27, 2021

Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. It is also easy to get started with Snowflake as the typical complexity of data warehouses like Teradata and Oracle are hidden from the users. .

Analytics 130

Analytics Analytics Data Warehouse Business Intelligence 130

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

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Data Warehouse Big Data Big Data Big Data Analytics 144

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

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

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Here they are in my order of importance (based upon my opinion).

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Data Science Azure SQL Machine Learning 106

Dataversity

NOVEMBER 29, 2021

There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures.

Analytics 52

Analytics Analytics Data Warehouse Cloud Data 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

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Cloud Data Data Silos Data Lakes Data Warehouse 98

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. Designed to cheaply and efficiently process large quantities of data.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Data transformation.

Data Warehouse 99

Data Warehouse SQL Azure ETL 99

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Data Science Analytics Machine Learning Machine Learning 399

phData

MARCH 8, 2023

Fivetran is an automated data integration platform that offers a convenient solution for businesses to consolidate and sync data from disparate data sources. With over 160 data connectors available, Fivetran makes it easy to move data out of, into, and across any cloud data platform in the market.

Data Warehouse 96

Data Warehouse Data Engineer Data Engineering Data Engineering 96

Data Science Blog

SEPTEMBER 3, 2024

Prinzipielle Architektur-Darstellung eines Data Lakehouse Systems unter Einsatz von Databricks auf der Goolge / Amazon / Microsoft Azure Cloud nach dem Data Mesh Konzept zur Bereitstellung von Data Products für Process Mining, BI und Data Science Applikationen. Dies sollte im Einzelfall geprüft werden.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

phData

DECEMBER 14, 2023

A Composable CDP is a new technical architecture for how businesses manage and activate their customer data for marketing programs. The Composable CDP transforms an existing cloud data warehouse, like the Snowflake Data Cloud , into the central repository of customer data in a company.

Data Warehouse 52

Data Warehouse Cloud Data 52

IBM Journey to AI blog

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Savings may vary depending on configurations, workloads and vendors.

AI 110

AI AI Data Warehouse Machine Learning 110

phData

AUGUST 9, 2023

With ELT, we first extract data from source systems, then load the raw data directly into the data warehouse before finally applying transformations natively within the data warehouse. This is unlike the more traditional ETL method, where data is transformed before loading into the data warehouse.

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Data Warehouse ETL Cloud Data Big Data 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Data orchestration tools.

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Data Warehouse ETL Tableau Cloud Data 52

IBM Journey to AI blog

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

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Data Warehouse AWS AI AI 92