Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Pickl AI

APRIL 30, 2023

However, not many of you are aware about cloud computing and its benefits or the various fields where it is applicable. The following blog will allow you to expand your knowledge on the field along with learning about applications of cloud computing along with some real-life use cases. What is Cloud Computing?

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

Tableau

JULY 28, 2021

Our mission at Tableau is to help customers see and understand their data. To accomplish this, customers need to be able to access whatever data is important to their analytic needs, wherever it lives. Connectivity is where the Tableau experience starts . Now, with the Tableau 2021.2

Data Lakes 98

Data Lakes Tableau Cloud Data Cloud Computing 98

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

IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science 101

JULY 31, 2019

A new online conference focused on cloud data technologies is coming this fall. The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. I hope to see you there.

Cloud Data 95

Cloud Data Data Science Machine Learning Machine Learning 95

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

Power BI 84

Power BI Analytics Analytics Azure 84

IBM Journey to AI blog

APRIL 4, 2024

What is private cloud ? Before we examine the pros and cons of a private cloud, here’s a rundown of its essential features and basic cloud architecture components. A private cloud is a cloud computing environment where all resources are isolated and operated exclusively for one organization.

Cloud Computing 115

Cloud Computing Azure Cloud Data AWS 115

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.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Tableau

JULY 28, 2021

Our mission at Tableau is to help customers see and understand their data. To accomplish this, customers need to be able to access whatever data is important to their analytic needs, wherever it lives. Connectivity is where the Tableau experience starts. Now, with the Tableau 2021.2

Data Lakes 52

Data Lakes Tableau Cloud Data Cloud Computing 52

Dataversity

NOVEMBER 25, 2022

At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. The post How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data appeared first on DATAVERSITY.

Analytics 52

Analytics Analytics Data Warehouse Cloud Computing 52

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Fern Halper, Ph.D.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Smart Data Collective

APRIL 8, 2020

Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales. There are several companies in the technological sphere making significant strides in advancing data warehousing technologies.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Let’s examine each of these patterns in greater detail.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Smart Data Collective

NOVEMBER 6, 2019

In the Cloud. Some cities will require large quantities of archived data for analytical purposes. This is where centralized cloud repositories come into play. Edge computing facilitates real-time alerts without the high prices and latency of streaming every byte of data to a server farm.

Database 101

Database Cloud Computing Cloud Data Analytics 101

Smart Data Collective

JUNE 20, 2022

The recommendation is to bring a minimal amount of data, development environments, and automation tools to the initial cloud environment, then introduce users and iterate based on their needs. Failing to make production data accessible in the cloud. Centralise new data and computational resources.

Data Engineering 145

Data Engineering Data Engineering Data Engineer Data Engineering 145

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

IBM Journey to AI blog

SEPTEMBER 26, 2023

The adoption of cloud technology has gained significant traction for child support agencies with mainframe systems due to its support for operational efficiences and its ability to facilitate on-demand innovation. This approach modernizes systems in cloud-based architectures which enable efficient communication between the microservices.

Data Warehouse 112

Data Warehouse Cloud Computing Cloud Data Analytics 112

IBM Journey to AI blog

JULY 31, 2023

Before the internet and cloud computing , and before smartphones and mobile apps, banks were shuttling payments through massive electronic settlement gateways and operating mainframes as systems of record. Complex analytical queries atop huge datasets on the mainframe can eat up compute budgets and take hours or days to run.

Analytics 64

Analytics Analytics Data Warehouse Cloud Computing 64

Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

Alation

NOVEMBER 4, 2022

Cost savings: By moving to a cloud computing model, for example, companies can shrink operating costs and scale the business. There are business level benefits, which will be things such as improving the customer experience, leveraging the technology to beat competition, and financial benefits like moving to a cloud computing model.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Data Governance 52

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. The future lies in the cloud.

Data Governance 59

Data Governance ML ML Cloud Data 59

Precisely

JANUARY 18, 2024

Yet mainframes weren’t initially designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 52

Alation

DECEMBER 14, 2021

To that end, AWS is making inroads into the analytics and machine learning space. Customer stories shed light on the cloud benefits for analytics. They do this by leveraging this single platform, which integrates with thousands of partners and supports 475 instances to unify data across an enterprise. In Conclusion.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

phData

OCTOBER 12, 2023

This blog was co-written by Sam Hall and Dakota Kelley In our previous blog , we discussed some ways Fivetran and dbt solve ELT for enterprise data consumption and analytics. As your data organization grows, the scalability of your data platform matters. Additionally, dbt can expand upon the scalability of Fivetran.

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

Irina has a strong technical background in machine learning, cloud computing, and software engineering. She helps her customers make strategic objectives, define and design cloud/ data strategies and implement the scaled and robust solution to meet their technical and business objectives.

ML 130

ML ML AWS AI 130

ODSC - Open Data Science

JULY 11, 2023

It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 Then I asked about the build or buy options to finance data centers or alternatives; this is covered in Part 2 as well. Alternatives to using a data center: 1.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. The utility of data centers for high performance and quantum computing was also described at a high level.

AI 52

AI AI Cloud Computing Data Scientist 52

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Furthermore, a shared-data approach stems from this efficient combination.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Data Science Blog

MARCH 14, 2023

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Quelle: [link] Small Data wurde zum Fokus für die deutsche Industrie, denn “Big Data is messy!” ” 1 und galt als nur schwer und teuer zu verarbeiten. Artificial Intelligence (AI) ersetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Precisely

MAY 8, 2025

Through our daily conversations with customers, it has become clear that there is a demand to access data where they already work and increasingly, that is in the cloud. Thats why its thrilling to see how cloud data marketplaces are rapidly evolving. Then, its time to start the process over again. Thats changing.

Cloud Data 64

Cloud Data Cloud Computing Analytics Analytics 64