Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

TIBCO - Connected Intelligence

DECEMBER 23, 2020

While 2020 has been anything but normal, TIBCO has been here all year long to provide you with over 200 blog posts on a wide range of topics. These are the top five most popular blog posts of 2020. COVID-19: A Visual Data Science Analysis and Review and COVID-19 (Coronavirus) Insights from the TIBCO Data Science Team.

Technical Review 26

Technical Review Systems Review Virtualization Analytics 26

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

Data 113

Data Architecture Analytics Government 113

Cloudera

JULY 27, 2021

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. So we’re delighted to be a part of the story.

Telecommunications 63

Telecommunications Data Architecture Big Data 63

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Data lakes and data warehouses unify large volumes and varieties of data into a central location.

Data 94

Data Analytics Open Source Architecture 94

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity. The post When Private Cloud is the Right Fit for Public Sector Missions appeared first on Cloudera Blog.

Cloud 90

Cloud Government Storage Analytics 90

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Cloudera

JULY 8, 2021

One year ago our CEO Rob Bearden vowed to take decisive action to make Cloudera a more diverse, equitable, and inclusive place to work and have Cloudera take an active role in promoting those attributes in the tech industry and our communities. . It essentially functions as an analytics sandbox that can handle large, complex datasets.

Nonprofit 123

Nonprofit Technical Review Leadership Strategic Planning 123

Cloudera

NOVEMBER 16, 2022

A common theme that was highlighted continuously was using “storytelling” to relay the value that data and analytics teams bring to the business. This leads to a further challenge of the chief data and analytics officer’s role: Is the mission to play offense — drive revenue? Are you playing offense or defense?

Data 82

Data Insurance Metrics eBook 82

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

MARCH 10, 2022

Even in industries where women are underrepresented, like tech, women have made a lot of progress. Adriana Flores, Head of Analytics at Peñoles, has experienced something similar throughout her career in the Energy Industry in Mexico. “At I won the competition and took the IT Director position.”. Changing the mindset.

Data 118

Data Weak Development Team Big Data Energy 118

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

JANUARY 27, 2021

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. The post Cloudera Completes SOC 2 Type II Certification for CDP Public Cloud appeared first on Cloudera Blog.

Cloud 104

Cloud Disaster Recovery Software Review Technical Review 104

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Introduction.

Performance 97

Performance Cloud Data Storage 97

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 69

Cloudera

SEPTEMBER 23, 2021

How to Manage Fast Data. Streaming data from edge devices enables real-time insight and autonomous decision-making, which can revolutionize industries. But driving data into the enterprise from the edge requires fast and effective data management. Slowpokes need not apply. What exactly is this?

Data 84

Data Sport Report Sustainability 84

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

The Accidental Successful CIO

JANUARY 25, 2023

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. However, now, industries as diverse as retailing, manufacturing, finance and insurance are taking advantage of new products that make it much easier for businesses to create AI tools specific to their needs.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Cloudera

FEBRUARY 17, 2021

While certain industries were hard-hit by this change, most of the businesses were able to adapt, pivot, and take on this adversity in their stride. Check out this awesome white paper that explains why Cloudera has the best Kafka ecosystem in the industry today.

Part-Time VPE 61

Part-Time VPE Analytics Leadership eBook 61

Cloudera

MAY 10, 2018

With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. This shift has created an unprecedented opportunity for disruption and problem-solving across industries. Learn more about the Data Impact Awards.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved. Conclusion.

Data 84

Data Analytics Cloud Technical Review 84

ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. 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

Hacker Earth Developers Blog

JUNE 26, 2019

This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science. Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems.

Data 200

Data How To Recruiting Machine Learning 200

TIBCO - Connected Intelligence

OCTOBER 11, 2021

The company’s insights are backed up by a rigorous process of analysis and solution development in the areas of integration, data management, and digital transformations. blox is a global technology leader in positioning and wireless communications in automotive, industrial, and consumer markets. The Solution in Action.

IoT 49

IoT Wireless Healthcare Technical Review 49

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Home to world-leading industrial firms such as ASEA/ABB, Jotun, and Volvo; leading energy firm Equinor; and world-class innovators such as Ericsson, Nokia, Novo Nordisk, and Spotify, the region is incredibly prosperous. That should give Enfo an excellent vantage point on the kinds of data-driven transformation underway.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

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.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

FEBRUARY 25, 2021

AMPs capture industry-specific, use-case-specific, and application-specific best practices to take the guesswork out of ML projects. Additionally, the AMPs catalog within CML is completely customizable, enabling your data science teams to build and securely share internal projects as AMPs. Active Learning.

Machine Learning 84

Machine Learning Artificial Inteligence Telecommunications Enterprise 84

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.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Hacker Earth Developers Blog

JUNE 26, 2019

This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science. Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems.

Data 100

Data How To Recruiting Machine Learning 100

ParkMyCloud

JULY 30, 2019

One of the nice things about talking with ParkMyCloud users is that we get to see trends often before they are more widely recognized within the industry. These are in fact Databricks being used to undertake data analytics workloads. Apache Spark is described as a unified analytics engine for large-scale data processing.

Azure 40

Azure AWS Analytics Machine Learning 40

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing.

Survey 145

Survey Data Technical Review Training 145

Mobilunity

DECEMBER 21, 2022

One of the essential goals of sourcing and using data is to help businesses make better decisions, so they can be at the top of their industries. To do this effectively, many businesses employ data scientists. These experts help to collect, visualize, and make sense of all kinds of data correctly.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Erik Bernhardsson

OCTOBER 27, 2015

What advice do you have to younger analytics professionals and in particular PhD students in the Sciences? I think people in academia often validate themselves in terms of things people in the industry don’t care about and things that doesn’t necessarily correlate with a successful career. You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

What advice do you have to younger analytics professionals and in particular PhD students in the Sciences? I think people in academia often validate themselves in terms of things people in the industry don’t care about and things that doesn’t necessarily correlate with a successful career. You don’t have big data”.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100