Cloudera

NOVEMBER 2, 2020

Updates and deletes to ensure data correctness. The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Correlations across data domains, even if they are not traditionally stored together (e.g. 200,000 queries per day.

Data 97

Data Analytics Storage Big Data 97

Cloudera

MARCH 10, 2022

Adriana Flores, Head of Analytics at Peñoles, has experienced something similar throughout her career in the Energy Industry in Mexico. “At For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle. I won the competition and took the IT Director position.”. Changing the mindset.

Data 118

Data Weak Development Team Big Data Energy 118

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

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 80

Cloud Data Analytics Artificial Inteligence 80

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.” We talked about Erik’s latest insights on the European data and analytics market as well as his fast-growing business.

Sport 62

Sport Data Virtualization Analytics 62

Cloudera

AUGUST 30, 2022

For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Towards Data Science ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

TIBCO - Connected Intelligence

APRIL 8, 2020

But there are several barriers you must overcome first, including DevOps considerations, implementing a low-code/no-code analytics environment, balancing open source with an ability to scale, and infusing analytics into the business for real value. Doctor Data: Develop Your Inner Data Engineer.

Data 49

Data Open Source Data Engineering Analytics 49

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 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

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

When you use data virtualization you create a modern data integration layer that lets you deliver data in a business-relevant way. You quickly give business users the latest data from across distributed data sources. TIBCO Customers Driving Business Value from Data Virtualization. Click To Tweet.

Virtualization 49

Virtualization Data Analytics Innovation 49

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. We will publish follow up blogs for other data services. are all supported.

Data 82

Data Travel Analytics Virtualization 82

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Over time, as TIBCO added analytics capabilities and a broad set of data management solutions, we also added these to our solution mix.”. That should give Enfo an excellent vantage point on the kinds of data-driven transformation underway. It seems data is a key enabler. But data can be troublesome.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

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 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84

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

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. Several compute engines such as Impala, Hive, Spark, and Trino have supported querying data in Iceberg table format by adopting this Java Library provided by the Apache Iceberg project. It includes a live demo recording of Iceberg capabilities.

Weak Development Team 70

Weak Development Team Engineering Analytics Storage 70

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. Multiplatform.

Data 58

Data Software Review Technical Review Architecture 58

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. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 70

Backup Data Engineering Engineering Data 70

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. other search and analytics needs across the organization. compliance reporting.

Pharmaceuticals 46

Pharmaceuticals Data Big Data Systems Review 46

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products. per user/month).

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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

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

Cloudera

OCTOBER 26, 2023

By empowering employees at all levels to understand data, to integrate it into their workflows, and to make data-driven decisions, companies enable individual contributors to drive impact that senior leaders and middle management can’t see, and that’s exciting. Are you more or less data-driven than they are?

Culture 77

Culture Data Company Analytics 77