CIO

JUNE 19, 2024

They may also ensure consistency in terms of processes, architecture, security, and technical governance. Our platform engineering teams, which support more than 200 applications, have innovated around automation,” says Bob Simms, former director of enterprise infrastructure delivery at the US Patent and Trademark Office (USPTO).

Weak Development Team 333

Weak Development Team Engineering UI/UX Software Development 333

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 272

Technical Review Software Review Systems Review Software Engineering 272

Cloudera

JANUARY 15, 2021

With the ability to quickly provision on-demand and the lower fixed and administrative costs, the costs of operating a cloud data warehouse are driven mostly by the price-performance of the specific data warehouse platform. CDW is one of several managed services that comprise the broader Cloudera Data Platform (CDP).

Performance 99

Performance Cloud Data Storage 99

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. About George Trujillo: George is principal data strategist at DataStax.

Artificial Inteligence 345

Artificial Inteligence Artificial Intelligence Machine Learning Agile 345

CIO

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Data 226

Data Architecture Government Strategy 226

O'Reilly Media - Ideas

DECEMBER 6, 2018

As the use of machine learning and analytics become more widespread, we’re beginning to see tools that enable data scientists and data engineers to scale and tackle many more problems and maintain more systems. Continue reading Tools for generating deep neural networks with efficient network architectures.

Network 54

Network Architecture Tools Artificial Inteligence 54

Perficient

MARCH 23, 2023

Databricks Streaming and Apache Flink are two popular stream processing frameworks that enable developers to build real-time data pipelines, applications and services at scale. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

SEPTEMBER 18, 2023

IDC analyst Jason Leigh says Verizon made the right move to build a tool to facilitate customer migrations, but adds that there will be challenges whenever a CIO or C-suite move their data and traffic to new environments. Network Alpha Factory also provides data intelligence and the ability to decommission legacy devices.

Telecommunications 243

Telecommunications Network Systems Review Software Review 243

CIO

SEPTEMBER 29, 2022

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. more than 3,000 of themâ??that

Artificial Inteligence 313

Artificial Inteligence Machine Learning Travel Technical Review 313

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. Machine learning production pipeline architecture. One of the key requirements to the ML pipeline is to have control over the models, their performance, and updates.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

CIO

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We To support this, we provided data-backed evidence and examples that demonstrated the positive impact of utilizing these technologies.”

Technical Review 222

Technical Review Analytics Innovation Architecture 222

Cloudera

FEBRUARY 1, 2024

In the fast-paced world of cloud-native products, mastering Day 2 operations is crucial for sustaining the performance and stability of Kubernetes-based platforms, such as CDP Private Cloud Data Services. Planning the architecture: design the system architecture, considering factors like scalability, security, and performance.

Backup 85

Backup Cloud Architecture Resources 85

TechCrunch

JANUARY 26, 2022

Firebolt’s pitch is that it has built a SQL-based architecture that handles this challenge better than anything that has come before it, using new techniques in compression that can connect data lakes and result in smaller cloud capacity requirements, resulting in lower costs and better performance, up to 182 times faster than that of other data (..)

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 334

Analytics Metrics Government Business Intelligence 334

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Innovation 70

Innovation Artificial Inteligence Machine Learning Technical Review 70

Cloudera

MAY 8, 2023

Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. In this six-part series, we’re focused on improving the health of your environment.

Data Engineering 80

Data Engineering Microservices DevOps Engineering 80

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. Many companies today struggle with legacy software applications and complex environments, which leads to difficulty in integrating new data elements or services.

Artificial Inteligence 268

Artificial Inteligence Strategy Data Machine Learning 268

AWS Machine Learning - AI

JULY 15, 2024

This pivotal decision has been instrumental in propelling them towards fulfilling their mission, ensuring their system operations are characterized by reliability, superior performance, and operational efficiency. The buffer was implemented after benchmarking the captioning model’s performance. DJ Charles is the CTO at Mixbook.

Generative AI 97

Generative AI Artificial Inteligence AWS Technical Review 97

Cloudera

APRIL 24, 2023

Unwelcome… … are platform instability, downtime, hardware failure, poor performance, cluster resource contention, repeated process failures, runaway live queries, critical services alarms, invisibility into alarm cacophony… the list goes on. Cloudera Data Platform (CDP) must be configured properly to function well with high performance.

Case Study 84

Case Study Hardware Guidelines Performance 84

Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

Analytics 92

Analytics Machine Learning Artificial Inteligence Telecommunications 92

AWS Machine Learning - AI

JUNE 21, 2024

Over 100 SOC analysts are now using AI Investigator models to analyze security data and provide rapid investigation conclusions. Solution overview eSentire customers expect rigorous security and privacy controls for their sensitive data, which requires an architecture that doesn’t share data with external large language model (LLM) providers.

Artificial Inteligence 95

Artificial Inteligence Generative AI AWS Serverless 95

Cloudera

AUGUST 3, 2022

In the coming months we will enhance this to make it even easier with minimal to no code changes in your applications, while being performant and without limiting the Spark APIs used. So, a second mode was introduced called “Direct Access,” which overcame the performance bottleneck but with one key downside – the inability to apply FGAC.

Policies 93

Policies Machine Learning Artificial Inteligence Data Engineering 93

Cloudera

FEBRUARY 12, 2024

Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. If the DNS is set up less ideal than it could be, connectivity and performance issues may arise. There is at present no option to disable private DNS zones for data engineering.

Azure 52

Azure Firewall Data Engineering Storage 52

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. Compared to previous CPU-based architectures, CDP 7.1 with Spark 3.0

Enterprise 96

Enterprise Cloud Data Machine Learning 96

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 96

Data Analytics Open Source Architecture 96

CIO

MARCH 12, 2024

Gen AI is playing a role in assisting with performing code reviews and early detection of potential issues.” Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers. One example is with document search and summarization.

Software Development 314

Software Development Software Review Weak Development Team Software 314

Dzone - DevOps

FEBRUARY 16, 2023

So in this article, I will talk about how I improved overall data processing efficiency by optimizing the choice and usage of data warehouses. Too Much Data on My Plate The choice of data warehouses was never high on my worry list until 2021. In the company's infancy, we didn't have too much data to juggle.

Data 87

Data ChatGPT Storage Architecture 87

TechCrunch

MAY 18, 2022

Heartex has an office in San Francisco, California, but several of the company’s engineers are based in the former Soviet Republic of Georgia. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

CIO

FEBRUARY 13, 2023

In one use case, AR and VR are being used to re-create people’s spines in a model so that surgeons can look at them in advance of surgeries to help them perform better, says Peter Fleischut, group senior vice president and chief information and transformation officer.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event. Here are a few highlights.

Open Source 52

Open Source Database Administration Survey AWS 52

Kentik

DECEMBER 5, 2016

The ability of Kentik Detect to offer cloud-friendly network performance monitoring — Kentik NPM — was key to the recognition we earned. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application.

Network 40

Network Performance Metrics Software Review 40

InnovationM

APRIL 25, 2024

This typically involves saving the model weights and architecture in a compatible format, such as a TensorFlow SavedModel or PyTorch state dictionary. You may need to optimize the model’s performance based on the available resources and constraints of the RunPod. Why to use RunPod?

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 121

Artificial Inteligence Generative AI Security Applications 121

Mobilunity

MAY 8, 2023

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. Ingestion zone is where data is collected from various sources and ingested into the data lake.

Engineering 52

Engineering Data Storage AWS 52