Cloudera

DECEMBER 1, 2023

It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements. Open-source solutions like Cloudera Data Flow and Open Data Lakehouse provide the necessary infrastructure and tools for governments to build and deploy trustworthy AI solutions at scale.

Data 113

Data Government Artificial Inteligence Artificial Intelligence 113

Cloudera

DECEMBER 28, 2017

Regulatory compliance, like death and taxes, is something that is mandatory and the cost of doing business in the financial services industry. How banks deal with regulatory compliance is actually changing for the better. Watch the webinar to hear Nordea’s story and see them demo Trifacta and Arcadia Data software on Cloudera.

Banking 40

Banking Compliance Big Data Software Review 40

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Compliance 50

Compliance Innovation Meeting Industry 50

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 99

Analytics Network Innovation IoT 99

CTOvision

JUNE 3, 2014

Many players delivered niche solutions for encrypting data, but not so long ago most solutions I saw introduced new weaknesses for each solution. Thus fulfilling a requirement in myriad compliance regulations like HIPAA-HITECH, PCI-DSS, FERPA and the EU Data Protection Directive. Then some very positive things started happening.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Machine Learning 111

Cloudera

SEPTEMBER 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Open Source 115

Open Source Innovation Industry Big Data 115

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

CTOvision

OCTOBER 16, 2014

But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. Los Angeles Big Data Users Group. ? Security & Compliance. ?

Data 109

Data Big Data Analytics Nonprofit 109

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Datavail

APRIL 6, 2021

PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle’s PaaS offering is also incorporated within OCI and makes use of both Oracle and open-source technologies. Read This Next.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

Big Data 116

Big Data Healthcare Applications Data 116

CTOvision

MARCH 14, 2017

Indications of compliance problems. Do you have strong governance (policy, process, leadership) that supports your security compliance requirements (which may well include, for example, the Gramm-Leach-Bliley Act (GLBA), FFIEC, FINRA, FISMA, HIPAA, HITECH, Fair Credit Reporting Act (FCRA), and others.

Technical Review 82

Technical Review Software Review Open Source Policies 82

O'Reilly Media - Data

APRIL 3, 2018

Notable attendees included DJ Patil , who served as the chief data scientist of the United States from 2015-2017, Doug Cutting, co-creator of Hadoop and advocate for open source, as well as representation from the National Science Foundation-funded Regional Big Data Innovation Hubs and Spokes program.

Artificial Inteligence 118

Artificial Inteligence Data Technical Review Artificial Intelligence 118

Cloudera

MAY 22, 2018

This leads to wasted time and effort during research and collaboration or, worse, compliance risk. With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. for the Oracle Big Data Appliance). or higher 5.x

Data 42

Data Load Balancer Machine Learning Artificial Inteligence 42

Altexsoft

JULY 2, 2020

Kubernetes is a popular open source container orchestration platform, used by many organizations throughout the world. Hardening and compliance. Benchmarks can also help ensure you meet compliance with your deployment, providing proof of audits and measures taken. Balancing security and agility.

Technical Advisors 78

Technical Advisors Technical Review Systems Review Firewall 78

RapidValue

AUGUST 18, 2019

Containers can contain open source, and that software can contain vulnerabilities. You need to address the open-source vulnerabilities, use of non-approved images and secrets management. Checking your Code Dependencies – Understanding that open-source use is the key to wider adoption of DevSecOps practices.

Games 50

Games Microservices DevOps Open Source 50

Battery Ventures

APRIL 28, 2021

Now, employees are no longer limited to using rudimentary, legacy tools like Excel spreadsheets; many can opt for new cloud-based and/or open-source tools to help them work more productively and effectively. You’ll need to enable security, compliance, collaboration and more to get budget-approved dollars. You won’t get far.

Enterprise 59

Enterprise Organization How To Groups 59

TechCrunch

DECEMBER 8, 2020

The team behind the app, which is comprised of 30% PhDs, has been working on the core privacy vs convenience problem for some six years (though the company was only founded in 2017); initially as an academic research project — going on to offer an open source framework for masked federated learning, called XayNet.

Mobile 252

Mobile Weak Development Team Course Engineering 252

John Snow Labs

JUNE 1, 2023

The impact of Natural Language Processing in everyday life is hard to ignore as it is the main driver of emerging technologies like Robotics, Big Data, Internet of Things, etc. It enables machines to process massive amounts of data and make informed decisions.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

Linux Academy

JULY 30, 2019

Compliance in the Cloud Fundamentals – One of the largest limiting factors for organizations considering migrating to the cloud is: “How do we maintain regulatory compliance in a cloud environment?” Big Data Essentials. Using real-world examples, we highlight the growing importance of Big Data.

Linux 25

Linux Course AWS Google Cloud 25

Openxcell

JANUARY 6, 2023

The ideal PaaS solution should also offer big data analytics, content management, database administration, systems management, and security for analysts, end users, and professional IT administrators. The cutting-edge hyper-converged vStack platform used by Serverspace Cloud is built on top-notch open-source technology.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

JUNE 11, 2021

Before actually launching RPA, process mining was implemented to understand process variations and non-compliances and prepare for automation. Besides, they hired a data scientist to further discover opportunities for process improvement and trained more people in big data. In 2017, Veco reported on another success.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Linux Academy

JULY 30, 2019

Compliance in the Cloud Fundamentals – One of the largest limiting factors for organizations considering migrating to the cloud is: “How do we maintain regulatory compliance in a cloud environment?” Big Data Essentials. Using real-world examples, we highlight the growing importance of Big Data.

Linux 12

Linux Course AWS Google Cloud 12

Altexsoft

OCTOBER 29, 2020

As we already said, at any given point during ETL testing, we’re checking how the whole pipeline works and whether data remains consistent with its mapping instructions. So we can divide different types of tests into three groups: Data quality and completeness, metadata. Data transformation process compliance.

Testing 63

Testing Tools Software Review Technical Review 63

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. Complexity. How scalable is the platform?

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Existek

JANUARY 27, 2023

One of the biggest challenges is regulatory compliance. Financial services companies must comply with a wide range of regulations, such as the General Data Protection Regulation (GDPR) and the Payment Services Directive (PSD2), which can make software development more complex and costly.

Software Development 52

Software Development Trends Technology Software 52

TechCrunch

APRIL 5, 2022

Data.World, which today announced that it raised $50 million in Series C funding led by Goldman Sachs, looks to leverage cloud-based tools to deliver data discovery, data governance and big data analytics features with a corporate focus. “Data.World is both cloud-first and security-first.

Enterprise 249

Enterprise Organization Data Government 249

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . How can we mitigate security and compliance risk? .

Big Data 77

Big Data Data Center Cloud Open Source 77

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 349

Data Artificial Inteligence Technical Advisors Technical Review 349

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Security and Compliance. Cyber security is of utmost importance.

Azure 12

Azure Applications Agile Systems Review 12