databricks

JUNE 4, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

AWS 130

AWS AI AI Data Science 130

Women in Big Data

NOVEMBER 27, 2024

A data warehouse is a centralized repository designed to store and manage vast amounts of structured and semi-structured data from multiple sources, facilitating efficient reporting and analysis. Begin by determining your data volume, variety, and the performance expectations for querying and reporting.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

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

MARCH 14, 2020

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. Azure Functions now support Python 3.8 So, here is the news. This is big for Google. This saves on costs.

Cloud Data 105

Cloud Data Data Science Data Warehouse Azure 105

Dataconomy

JUNE 1, 2023

Cost efficiency : Power BI can directly leverage data stored in OneLake, eliminating the need for separate SQL queries and reducing costs associated with data processing. This approach not only improves performance by eliminating the need for separate data warehouses but also results in substantial cost savings for customers.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. A batch ETL works under a predefined schedule in which the data are processed at specific points in time.

ETL 52

ETL Azure Python Internet of Things 52

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 is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. Azure Functions now support Python 3.8 So, here is the news. This is big for Google. This saves on costs.

Cloud Data 52

Cloud Data Data Science Data Warehouse Azure 52

phData

OCTOBER 2, 2023

Feature stores capture features from enterprise data warehouses or streaming applications in an online and offline store, syncing the values between the two stores. Feature stories can require the integration of diverse technologies, such as data warehouses, streaming pipelines, and processing engines.

Data Warehouse 98

Data Warehouse ML ML Data Scientist 98

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Azure Database Cloud Computing 113

ODSC - Open Data Science

JUNE 12, 2023

They all agree that a Datamart is a subject-oriented subset of a data warehouse focusing on a particular business unit, department, subject area, or business functionality. The Datamart’s data is usually stored in databases containing a moving frame required for data analysis, not the full history of data.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

MARCH 19, 2025

It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines. Amazon Redshift Amazon Redshift is a cloud-based data warehouse that enables fast query execution for large datasets.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

OCTOBER 25, 2024

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Learn more about the AI Insight Talks below.

AI 52

AI AI Data Scientist Data Lakes 52

ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free.

Algorithm 52

Algorithm Machine Learning Machine Learning Azure 52

Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

FEBRUARY 23, 2025

Statistics : A survey by Databricks revealed that 80% of Spark users reported improved performance in their data processing tasks compared to traditional systems. Google Cloud BigQuery Google Cloud BigQuery is a fully-managed enterprise data warehouse that enables super-fast SQL queries using the processing power of Googles infrastructure.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

phData

JUNE 5, 2025

In the fast-moving world of data, the Snowflake AI Data Cloud has established itself as an essential part of the Modern Data Stack. Beyond data sharing, Snowflake takes a step further by offering native hosting for SaaS applications using its innovative Native Application Framework.

Database 52

Database Azure AWS SQL 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Its robust architecture and proven performance have given businesses uninterrupted access to critical data while powering their enterprise-level applications. was a significant leap forward in data management, empowering organizations to unlock the full potential of their data. is a proven, versatile, and AI-ready solution.

Database 101

Database SQL Data Warehouse Machine Learning 101

IBM Journey to AI blog

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lakes 52

Data Lakes Data Warehouse Apache Hadoop Azure 52

ODSC - Open Data Science

MAY 29, 2023

Research and new offerings in AI fuel the field of data science. At ODSC events, we love to highlight our partners’ latest developments, products, services, and research, so that you can see how organizations from around the world are changing the landscape of AI. Ask the Experts!

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

phData

SEPTEMBER 2, 2024

Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. It offers a cloud-agnostic data productivity hub called Matillion Data Productivity Cloud. Below is a sample scenario for 3 business units within an organization for the data mart layer of the data warehouse.

ETL 52

ETL Data Warehouse SQL Database 52

Pickl AI

OCTOBER 17, 2024

It highlights key components of the ETL process, best practices for efficiency, and future trends like AI integration and real-time processing, ensuring organisations can leverage their data effectively for strategic decision-making. Introduction ETL plays a crucial role in Data Management.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

ODSC - Open Data Science

JUNE 7, 2023

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? So let’s take a look at a few of the leading industry examples of data lakes. Where does it go?

Data Lakes 52

Data Lakes Azure Hadoop Data Warehouse 52

Pickl AI

APRIL 9, 2025

By 2025, global data volumes are expected to reach 181 zettabytes, according to IDC. To harness this data effectively, businesses rely on ETL (Extract, Transform, Load) tools to extract, transform, and load data into centralized systems like data warehouses. Cost : Is the pricing predictable and within budget?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

How to Learn Machine Learning

APRIL 26, 2025

At the heart of their work is the idea of setting up a stable and well-functioning data pipelinean automated set of processes that reads raw data from many sources, cleans it, and transforms it into formats for analysis. Data Architect Designs complex databases and blueprints for data management systems.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

ODSC - Open Data Science

OCTOBER 7, 2024

Come and be part of ODSC West’s AI Expo & Demo Hall ! There, on October 29th & 30th, you’ll connect with some of the top names in AI and explore how they are helping AI practitioners innovate faster, scale smarter, and build the next wave of AI.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. What are the Best Data Modeling Methodologies and Processes? Data lakes are meant to be flexible for new incoming data, whether structured or unstructured.

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Data Lakes Data Modeling Data Models Data Warehouse 52

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

O'Reilly Media

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

ML 145

ML ML Data Scientist AWS 145

Pickl AI

OCTOBER 15, 2024

ETL (Extract, Transform, Load) is a core process in data integration that involves extracting data from various sources, transforming it into a usable format, and loading it into a target system, such as a data warehouse. It supports both batch and real-time data processing , making it highly versatile.

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ETL Azure AWS Data Governance 52

phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all. Or would you even go to that directly?

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

DrivenData Labs

MAY 21, 2024

Hello from our new, friendly, welcoming, definitely not an AI overlord cookie logo! Data storage ¶ V1 was designed to encourage data scientists to (1) separate their data from their codebase and (2) store their data on the cloud. We have now added support for Azure and GCS as well.

Data Science 233

Data Science Python Data Scientist Data Warehouse 233

IBM Journey to AI blog

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

phData

JULY 18, 2023

The good news is that there’s a concept called the Modern Data Stack that when utilized properly, consistently helps empower organizations to harness the full potential of their data. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Pickl AI

JUNE 7, 2024

Also Read: Top 10 Data Science tools for 2024. It is a process for moving and managing data from various sources to a central data warehouse. This process ensures that data is accurate, consistent, and usable for analysis and reporting. This process helps organisations manage large volumes of data efficiently.

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ETL Data Pipeline Data Quality Hadoop 40

phData

AUGUST 9, 2024

Imagine you are building out a routine sales report in Snowflake AI Data Cloud when you come across a requirement for a field called “Is Platinum Customer.” The data we get from the source systems is often incomplete and needs to be augmented with external data. This scenario is all too common to analytics engineers.

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ETL Data Warehouse Data Governance Tableau 52