DevOps.com

MARCH 19, 2021

Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work revolves around creating data pipelines.

Open Source 125

Open Source Data Engineering Engineering Enterprise 125

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. They require highly modernized digital application and service environments running on true cloud platforms like Hitachi Enterprise Cloud.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. We believe that data can make what is impossible today, possible tomorrow.

Data 107

Data Architecture Analytics Government 107

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Right now, someone somewhere is writing the next fake news story or editing a deepfake video.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

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

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. They also launched a plan to train over a million data scientists and data engineers on Spark.

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Open Source Big Data Machine Learning Artificial Inteligence 117

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. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.

Data 89

Data Analytics Open Source Architecture 89

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 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

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. TIBCO Customers Driving Business Value from Data Virtualization.

Virtualization 49

Virtualization Data Analytics Innovation 49

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. The details will be discussed later.

DevOps 130

DevOps Data Analytics Policies 130

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

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

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

FEBRUARY 19, 2018

Breaking down data silos is on a to-do list of every CIO aiming to sharpen their competitive edge. As a critical enterprise application, there is no room to just tinker around with it in a way that would invalidate SAP’s terms around approved data exchange and mechanisms. Datavard is that partner for Cloudera.

Data 46

Data Government Big Data Compliance 46

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. Enterprise machine learning. Modern data warehousing.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

ParkMyCloud

JULY 30, 2019

The Databricks platform allows enterprises to build their data pipelines across data storage systems and prepare data sets for data scientists and engineers. To do this, Databricks offers a range of tools for building, managing and monitoring data pipelines.

Azure 40

Azure AWS Analytics Machine Learning 40

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

While cloud services do provide useful resources — such as compute instances and object storage on demand — Cloudera offers the unified platform to organize, process, analyze, and store data at large scale… anywhere. Instead, users can immediately begin to build data pipelines and run jobs for their applications.

Cloud 40

Cloud Azure Analytics AWS 40

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. for the Oracle Big Data Appliance). Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

AWS Machine Learning - AI

JANUARY 26, 2024

Reviews can be performed using tools like the AWS Well-Architected Tool , or with the help of your AWS team through AWS Enterprise Support. Repeat this process for each of the OWASP Top 10 for LLM vulnerabilities to ensure you’re maximizing the value of AWS services to implement defense in depth to protect your data and workloads.

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Artificial Inteligence Generative AI Security Applications 116

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

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. You can create and manage data marts and also have the Power BI Report Server tool included for on-premises reporting (more about it below). Microsoft learning. Certification.

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Weak Development Team Data Azure Analytics 52

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

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

DECEMBER 14, 2020

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics. Why upgrade to CDP now?

Analytics 68

Analytics Big Data Government Cloud 68

Cloudera

NOVEMBER 19, 2020

It enables public sector agencies to tap the power of big data and machine learning by managing volume, velocity, and variety of data, bringing unified governance, data integration, and open-source data management capabilities across all cloud and hybrid-cloud environments.

Government 114

Government Artificial Inteligence Machine Learning Data 114

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Cisco Data Intelligence Platform.

Data 98

Data Storage Architecture Big Data 98

Cloudera

MARCH 6, 2018

Indeed, industry analyst firm Enterprise Management Associates (EMA) found the number one barrier to cloud was increased complexity. 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

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. Next you need to understand your data , cataloging enterprise data into business and compliance terms. Thanks for reading this blog.

Cloud 76

Cloud Data Government Innovation 76

Mobilunity

NOVEMBER 30, 2022

This is a foundation of data-driven business decisions whether it comes to a new product release, market research, or marketing strategy. That’s why a lot of enterprises look for an experienced Big Data engineer to add to their team. Benefits of Hiring a Data Engineer Freelance.

Data 52

Data How To Recruiting Comparison 52

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

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

JUNE 4, 2018

Ensure content can be reused within the data hub to support pharmaceutical use cases. Aspire , built by Search Technologies , part of Accenture is a search engine independent content processing framework for handling unstructured data. This enables data hub users to quickly access up-to-date content across the enterprise.

Pharmaceuticals 45

Pharmaceuticals Data Big Data Systems Review 45

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

OCTOBER 14, 2020

Natively support Big Data workloads. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. Cloudera’s CDP platform offers Cloudera Data Engineering experience which is powered by Apache YuniKorn (Incubating). Resource fairness.

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Policies Resources Systems Review Technical Review 113