Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Artificial Inteligence 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Public cloud also introduces new challenges in governance, financial management and integration. 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.

Cloud 78

Cloud Google Cloud Azure AWS 78

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.

Engineering 52

Engineering Data Storage AWS 52

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Data virtualization solutions are great if your company struggles with data in silos spread across traditional data warehouses, enterprise applications, big data lakes, operational data stores, the cloud, and more.

Virtualization 32

Virtualization Data Insurance Software Review 32

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. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Fig 1: The Enterprise Data Lifecycle.

Data 104

Data Artificial Inteligence Analytics Machine Learning 104

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

Everyone yearns for consistent, well-governed, data that is easy to access and use. 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.

Virtualization 49

Virtualization Data Analytics Innovation 49

Cloudera

FEBRUARY 19, 2018

Scenarios may require initial full extract followed by deltas, data federation or replication. Governance. Data governance and access restrictions are key topics that are impacted by new, tighter regulations and compliance constraints such as GDPR, BCBS 239, or HIPAA. How else would you like to use your SAP data?

Data 46

Data Government Big Data Compliance 46

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics.

DevOps 130

DevOps Data Analytics Policies 130

AWS Machine Learning - AI

JANUARY 26, 2024

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 114

Government Artificial Inteligence Machine Learning Data 114

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Migration of historical data from EDW Platform.

Data 81

Data Analytics Cloud Technical Review 81

Cloudera

NOVEMBER 6, 2017

The newer, second option is to leverage Cloudera Altus “data engineering-as-a-service,” which simplifies the experience by eliminating even the initial steps of installing software or configuring clusters. Instead, users can immediately begin to build data pipelines and run jobs for their applications.

Cloud 40

Cloud Azure Analytics AWS 40

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Learn more about the Data Impact Awards.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. Understanding Data Governance. What is Data Governance?

Government 40

Government Strategy Weak Development Team Company 40

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing for compliance.

Government 57

Government Compliance Machine Learning Artificial Inteligence 57

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 104

Data Analytics Disaster Recovery Travel 104

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Analytics 68

Analytics Big Data Government Cloud 68

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. As mentioned in the first blog with my colleague Marc, these teams will need to be upskilled in the latest trends to deliver innovative solutions to the business.

Cloud 76

Cloud Data Government Innovation 76

Cloudera

MARCH 6, 2018

Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security. Nimbly run many distinct applications against shared data. Facilitates productivity and development efficiency by making all data safely accessible in one place.

Analytics 40

Analytics Cloud Big Data AWS 40

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Cloud Big Data Machine Learning 40

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Kentik

JULY 24, 2017

We spend a lot of time in this blog talking about the key capabilities that make Kentik Detect unique in the world of network management. Data is available for querying in under three seconds from receipt. And we retain network data unsummarized for 90 days (longer by arrangement). Five Reasons the Kentik Detect SaaS is Secure.

Cloud 40

Cloud Big Data Data Engineering Internet 40

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 91

Data Analytics Storage Big Data 91

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. This blog sets you up for success. Make it so!

Virtualization 69

Virtualization Data How To Data Engineering 69

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated. Lloyd Dugan BPM.com [link]. A decade later, Gartner’s V.P.,

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

JULY 9, 2018

Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. How do I wrangle in my data science community? How do I govern these systems and development processes while also managing quality? The Business Dilemma: Data science is complex and has its own language and perceptions.

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

Apiumhub

APRIL 8, 2021

The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Top Data Science experts you should know about. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently.

Data 79

Data Machine Learning Artificial Inteligence Disaster Recovery 79

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Artificial Inteligence 100

Artificial Inteligence Cloud Generative AI Analytics 100

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. As a result, alternative data integration technologies (e.g., These four capabilities together define the Enterprise Data Cloud. CRM platforms).

Scalability 88

Scalability Technical Review Data Analytics 88

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76

Cloudera

MARCH 22, 2022

That technical debt includes silo-ed data warehousing appliances, homegrown tools for data processing, or point solutions used for dedicated workloads such as machine learning. To address that need, the data and analytics platform needs to provide pre-integrated, interoperable processing capabilities across the data lifecycle (e.g.,

Technical Review 79

Technical Review Strategy Data Analytics 79