Cloudera

MAY 17, 2021

With AMPs, data scientists can go from an idea to a fully working ML use case in a fraction of the time, with an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly. To find out more about AMPs, read this blog , which also links to the full documentation and a webinar on the subject.

Cloud 88

Cloud Machine Learning Artificial Inteligence Storage 88

Cloudera

JUNE 18, 2022

In early 2022, we enabled a Technical Preview of Apache Iceberg in Cloudera Data Platform allowing Cloudera customers to realize the value of Iceberg’s schema evolution and time travel capabilities in our Data Warehousing, Data Engineering and Machine Learning services.

Data 89

Data Analytics Open Source Architecture 89

Cloudera

MARCH 10, 2022

For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle. Check out Cloudera’s Influential Women in Data webinar series, where we speak with female data leaders from different industries about their careers and the opportunities and challenges of being a woman in the field of data.

Data 113

Data Weak Development Team Big Data Energy 113

Cloudera

DECEMBER 21, 2020

A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. The Data Engineer.

Data 97

Data Virtualization Banking Data Engineering 97

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

While candy maker Cloetta , another TIBCO customer, saves hundreds of hours and thousands of euros helping staff understand supply chain dynamics and improve forecast accuracy, campaigns, decision-making, and more with a unified view of their data. Click To Tweet. And check back for more blogs in the series.

Virtualization 49

Virtualization Data Analytics Innovation 49

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. To learn more about Applied Machine Learning Prototypes in Cloudera Machine Learning (CML), join us for the webinar Jumpstart AI Use Cases With Applied ML Prototypes.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . Their YouTube channel is a “gateway to high-quality videos, webinars, sample classes and lectures from industry practitioners and influencers.”

Google Cloud 97

Google Cloud Training Resources Cloud 97

Cloudera

DECEMBER 20, 2022

Replay our webinar : Machine learning model deployment: Strategy to implementation. Try Cloudera DataFlow (CDF), Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML) by signing up for a 60 day trial , or test drive CDP.

Energy 79

Energy Analytics Data Machine Learning 79

TIBCO - Connected Intelligence

DECEMBER 11, 2020

We help them combine, refine, and analyze their data on the road to transformative business value. Our success formula combines several key elements including: A more holistic approach to data management that spans data engineering, data management, and data analytics disciplines.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Cloudera

FEBRUARY 17, 2021

Our keynote , delivered by our VP of Engineering, Joe Witt, and Sr. Manager for Flink Engineering, Marton Balassi, was extremely well received. We decided to extend our Flink thought leadership showcase by creating a series of webinars called the “ Flink Powerchat series ”.

Part-Time VPE 59

Part-Time VPE Analytics Leadership eBook 59

Cloudera

MAY 22, 2018

To see the new capabilities in action, join our webinar on 13 June 2018. Learn more about how Cloudera Data Science Workbench makes your data science team more productive. You can see the new capabilities in action in the replay of our webinar , Machine Learning Models: From Research to Production.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Strategy 56

Strategy Travel Groups Data 56

Hu's Place - HitachiVantara

JANUARY 3, 2019

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. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

TIBCO - Connected Intelligence

JULY 29, 2019

Once you’ve done that, assemble a cross-functional team consisting of business experts, data science, data engineers, and IT and communicate to make sure everyone is in alignment and working toward the same goal. Monetize and realize the full value of your data science and machine learning initiatives.

Innovation 26

Innovation Artificial Inteligence Machine Learning Guidelines 26

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. Register Now. . The post NVIDIA RAPIDS in Cloudera Machine Learning appeared first on Cloudera Blog.

Machine Learning 136

Machine Learning Artificial Inteligence Engineering Training 136

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 105

Data Machine Learning Artificial Inteligence Analytics 105

Cloudera

DECEMBER 15, 2022

To learn more: Replay our webinar Unifying Your Data: AI and Analytics on One Lakehouse, where we discuss the benefits of Iceberg and open data lakehouse. Read why the future of data lakehouses is open. The new capabilities of Apache Iceberg in CDP enable you to accelerate multi-cloud open lakehouse implementations.

Cloud 76

Cloud Data Analytics Machine Learning 76

Altexsoft

AUGUST 19, 2022

There’s also a collection of training webinars, tips and tricks section, and news about upcoming events. Microsoft provides a bunch of certifications for developers, administrators, data engineers , solution architects , DevOps engineers , and so on. Power BI community stats as of 2019. Certification.

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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.

Architecture 75

Architecture Data Artificial Inteligence Artificial Intelligence 75

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?

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Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 68

Analytics Big Data Government Cloud 68

Cloudera

JULY 13, 2023

To learn more: For more on Iceberg manifest caching configuration in In Cloudera Data Warehouse (CDW), please refer to [link]. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg. It includes a live demo recording of Iceberg capabilities.

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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.

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Virtualization Meeting Marketing Data 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.” Raiffeisen Bank who spoke at the webinar is another. Tell me more about your network of partners? . “We

Sport 62

Sport Data Virtualization Analytics 62

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 78

Data Travel Analytics Virtualization 78

Cloudera

APRIL 9, 2021

ETL jobs and staging of data often often require large amounts of resources. ETL is a data engineering task and should be offloaded onto a scale-out and more cost effective solution. . Similarly, operational data stores take up resources on a data warehouse. They too can be moved to a more cost effective platform.

Data 58

Data Software Review Technical Review Architecture 58

Cloudera

NOVEMBER 2, 2020

Data Hub – . Data integration, distribution, and routing engine. Glue combining multiple data engines into end-to-end flows. Data Hub – . Engine providing stateful analytics computations over data streams. Alerting, scoring, decision-making on data in motion.

Data 90

Data Analytics Storage Big Data 90

Cloudera

JUNE 4, 2018

With Cloudera Enterprise Data Hub as the foundation for data acquisition, centralization, and indexing, more intelligent applications can be built on top of it to support: insight discovery. For a deep dive into the challenges and potential of handling massive quantities of diverse content with Cloudera, join our upcoming webinar.

Pharmaceuticals 45

Pharmaceuticals Data Big Data Systems Review 45

Cloudera

OCTOBER 26, 2023

Make unrestricted data available far and wide but govern it. Often that requires a centralized data engineering unit who manages data for everyone. With architectures like data mesh, that may change in the future. Future-proof the organization Agile companies are successful companies. That’s very important.

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Culture Data Company Analytics 75