CIO

APRIL 2, 2025

They develop an AI roadmap that is aligned with the companys goals and resources, with the intention of implementing the right use cases at the perfect time, including selecting the right technologies and tools. Model and data analysis. They examine existing data sources and select, train and evaluate suitable AI models and algorithms.

Artificial Inteligence 107

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 107

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

CIO

FEBRUARY 17, 2025

Neudesic leverages extensive industry expertise and advanced skills in Microsoft Azure, AI, data engineering, and analytics to help businesses meet the growing demands of AI. Consider factors like data type, problem scope, resource availability, and interpretability. Value stream mapping isnt just a tool.

Azure 117

Azure Metrics Systems Review Technical Review 117

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks. Find more information in our documentation.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 CDW is an analytic offering for Cloudera Data Platform (CDP). You can easily set up CDP on Azure using scripts here.

Azure 120

Azure Data Comparison Virtualization 120

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. You’ll find several Google Cloud resources to help level up your skills. Google Cloud Free Program. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Xebia

MAY 31, 2022

Most of the online resources suggest to use Azure Data factory (ADF ) in Git mode instead of Live mode as it has some advantages. For example, ability to work on the resources as a team in a collaborative manner or ability to revert changes that introduced bugs. But for that we have a workaround.

Data Engineering 130

Data Engineering Resources Azure Engineering 130

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. It’s a good place to start if you’re new to AI or AI on Azure and want to demonstrate your skills and knowledge to employers.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

TechCrunch

AUGUST 8, 2022

In this way, Equalum isn’t dissimilar to startups like Striim and StreamSets, which offer tools to build data pipelines across cloud and hybrid cloud platforms (i.e., Amazon Web Services, Google Cloud, and Azure also sell access to some version of pipeline orchestration technology, albeit unsurprisingly cloud-focused.

Company 191

Company Data Cloud Google Cloud 191

Xebia

OCTOBER 23, 2024

Introduction This blog post will explore how Azure Data Factory (ADF) and Terraform can be leveraged to optimize data ingestion. ADF is a Microsoft Azure tool widely utilized for data ingestion and orchestration tasks. An Azure Key Vault is created to store any secrets.

Azure 130

Azure Software Review Technical Review Resources 130

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. CDE is already available in CDP Public Cloud (AWS & Azure) and will soon be available in CDP Private Cloud Experiences. Option 1b: Create a resource & attach it to the jobs (recommended).

Data Engineering 65

Data Engineering Engineering Data Software Review 65

CIO

NOVEMBER 7, 2023

“Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data 213

Data Artificial Inteligence Architecture Analytics 213

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. Cloudera resources are created on the fly, which means wildcard rules may be declined by the security team. Most Azure users use hub-spoke network topology. That can be configured at a subnet level.

Azure 52

Azure Firewall Data Engineering Storage 52

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

JANUARY 14, 2021

Modern cloud solutions, on the other hand, cover the needs of high performance, scalability, and advanced data management and analytics. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Architecture 115

Cloudera

MAY 22, 2018

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. We believed that if you empowered data engineers, data scientists, and analysts with self-service tools and access to unlimited data and compute, your organization can accomplish truly great things.

Azure 40

Azure Data Engineering AWS Engineering 40

Battery Ventures

OCTOBER 7, 2020

And of course, the Big Three public-cloud providers—Amazon Web Services, Google Cloud and Microsoft Azure—continue to grow, and together now have estimated, annualized revenue of around $100 billion, according to public reports. Today, we delve deeper into these topics in our “State of the Cloud 2020” report.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 83

Storage Cloud Azure Pharmaceuticals 83

CIO

JULY 14, 2023

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Xebia

MAY 16, 2023

Our colleagues from GetInData took care of all the interfacing to machine learning platforms on the cloud like Azure ML , Vertex AI and Sagemaker. That said, similar resources sometimes can’t be quite comparable for having additional or lacking features, which may influence (not to say compromise) design and entail vendor lock-in.

Cloud 130

Cloud Data Azure Open Source 130

CIO

FEBRUARY 13, 2023

These network, security, and cloud changes allow us to shift resources and spend less on-prem and more in the cloud.” Vaithylingam says the College of Southern Nevada will shut down its on-prem data center — one of the largest in Nevada — and plans to fully move all workloads and infrastructure to Microsoft Azure.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Infrastructure 148

Infrastructure Artificial Inteligence Data Generative AI 148

Cloudera

MAY 13, 2021

Identifying issues such as resource contention, rogue users and efficiently written SQL. Identifying common iEDH issues, such as resource contention, rogue users, and inefficiently written SQL can simplify the move to CDP and isolate upgrade problems. . Identifying Resource Usage. Identify Resource Hungry Workloads.

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. The more data is inquired, the more problematic and resource-intensive it is for OLTP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

ParkMyCloud

JANUARY 17, 2020

Each of the ‘big three’ cloud providers (AWS, Azure, GCP) offer a number of cloud certification options that individuals can get to validate their cloud knowledge and skill set, while helping them advance in their careers and broaden the scope of their achievements. . Microsoft Azure Certifications. Azure Fundamentals.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Cloudera

MAY 18, 2021

First, it doesn’t fully (or, in most instances, at all) leverage the elastic capabilities of the cloud deployment model, i.e., the ability to scale up and down compute resources . that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. . 1 Year Reserved . 13,000-18,500. 7,500-11,500.

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Amazon recently announced their latest EMR version 6.1.0

Performance 110

Performance Data Comparison Virtualization 110

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Foundational data technologies. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

UruIT

JULY 23, 2019

” Microsoft’s Azure Machine Learning Studio. Microsoft’s set of tools for machine learning includes Azure Machine Learning (which also covers Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Cloudera

JANUARY 15, 2021

As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x higher cost.

Performance 96

Performance Cloud Data Storage 96

Cloudera

DECEMBER 21, 2020

In our data adventure we assume the following: . There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

UruIT

APRIL 27, 2020

Microsoft’s Azure Machine Learning Studio . Microsoft’s set of tools for ML includes Azure Machine Learning (including Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory. Pricing: try it out free for 12-months.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

Invid Group

AUGUST 28, 2024

AWS, Azure, and Google provide fully managed platforms, tools, training, and certifications to prototype and deploy AI solutions at scale. For instance, AWS Sagemaker, AWS Bedrock, Azure AI Search, Azure Open AI, and Google Vertex AI [3,4,5,6,7].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Palo Alto Networks

AUGUST 23, 2021

we are leveraging ML-based threat detectors against an extensive set of identity data sources, including Active Directory, Identity and Access Management products (including Okta, Ping and Azure AD), human resources (HR) platforms (like Workday) and SASE gateways. With Cortex XDR 3.0,

Cloud 98

Cloud Machine Learning Artificial Inteligence Analytics 98