Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Analytics 71

Analytics Big Data Government Cloud 71

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Deploying modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Cloudera

JUNE 18, 2022

Apache Iceberg was built from inception with the goal to be easily interoperable across multiple analytic engines and at a cloud-native scale. Netflix, where this innovation was born, is perhaps the best example of a 100 PB scale S3 data lake that needed to be built into a data warehouse.

Data 94

Data Analytics Open Source Architecture 94

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

TIBCO - Connected Intelligence

APRIL 8, 2020

Doctor Data: Develop Your Inner Data Engineer. Wonderful data scientists make raw data enterprise ready with data engineering. That means showing expertise in data prep, federation and virtualization technologies, SQL, and master data management and reference data management.

Data 49

Data Open Source Data Engineering Analytics 49

TIBCO - Connected Intelligence

JUNE 10, 2020

I recently teamed up with Austrian customer Raiffeisen Bank , Dutch partner Connected Data Group , and German partner QuinScape to deliver a webinar entitled “Next-Generation Data Virtualization Has Arrived.” Our relationship began in 2014 driven by our client’s need for data virtualization.

Sport 62

Sport Data Virtualization Analytics 62

Progress

DECEMBER 30, 2019

Selecting a cloud service is an increasingly complex decision ideally based on individual app requirements. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Selecting a cloud service is an increasingly complex decision ideally based on individual app requirements. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Selecting a cloud service is an increasingly complex decision ideally based on individual app requirements. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Another cloud service I’m asked about is AWS Amplify from another popular cloud giant.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

TIBCO - Connected Intelligence

APRIL 1, 2021

Below is a more in-depth look at the three major areas where data virtualization capabilities are evolving to meet growing market demands. Data virtualization and self-service capabilities. Organizations are now seeing a rise in a new class of citizen data scientists and citizen data engineers who use self-service analytics tools.

Virtualization 49

Virtualization Meeting Marketing Data 49

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. Data virtualization is rising to meet this challenge. Click To Tweet.

Virtualization 49

Virtualization Data Analytics Big Data 49

Cloudera

APRIL 9, 2021

A recent Harvard Business Review study confirmed that data is increasingly being spread across data centres, private clouds and public clouds. They warned data and analytics leaders to “prepare for the complexities of data management” calling out costs, performance and integration as top challenges.

Data 58

Data Software Review Technical Review Architecture 58

TIBCO - Connected Intelligence

DECEMBER 11, 2020

This integration foundation has continued to evolve in line with technology change, so today this domain includes significant work in REST, JSON, API management, and of course cloud migration. Over time, as TIBCO added analytics capabilities and a broad set of data management solutions, we also added these to our solution mix.”.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Cloudera

FEBRUARY 17, 2021

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub. Our keynote , delivered by our VP of Engineering, Joe Witt, and Sr.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Cloudera

NOVEMBER 2, 2020

Operating on data in the stream gives you the ability to make better decisions in “machine-time”, which complements the ability to make better decisions in “human-time” once the data lands in the warehouse. CDP contains a rich array of services to move, store, process, and query your data. Data Hub – .

Data 97

Data Analytics Storage Big Data 97

Cloudera

DECEMBER 20, 2022

Going into more technological aspects, the data platforms that must support this decision-making must be able to operate in a hybrid environment in which there is integration with the applications that reside in the company’s own data centers, as well as the possibility of working in public cloud environments. .

Energy 81

Energy Analytics Data Machine Learning 81

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. CONS This will trigger a full read and write of the data and it might be an expensive operation.

Backup 70

Backup Data Engineering Engineering Data 70

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. These engines are also evolving quickly and we deliver new features and optimizations in every release.

Data 82

Data Travel Analytics Virtualization 82

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. In addition to cloud options, customers can now deploy on premises with Oracle Linux 7.4 (for for the Oracle Big Data Appliance).

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Altexsoft

AUGUST 19, 2022

You get 10GB of cloud storage and can upload 1GB of data at a time. Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud. Here’s the documentation for developers with detailed descriptions and instructions.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

CIO

NOVEMBER 21, 2024

Our heritage is rooted in developing innovative solutions that address the challenges of storing, managing, and protecting data in a complex IT environment. NetApp helps companies by supporting the movement, transformation, and preparation of data across hybrid cloud environments using block, file, and object storage solutions.

Weak Development Team 177

Weak Development Team Storage Machine Learning Artificial Inteligence 177

CIO

NOVEMBER 14, 2024

Recently, we sponsored a study with IDC* that surveyed teams of data scientists, data engineers, developers, and IT professionals working on AI projects across enterprises worldwide. Another significant finding was that respondents cited data access due to infrastructure restrictions as the #1 cause of AI project failure.

Enterprise 149

Enterprise Survey Storage Study 149