Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

CIO

NOVEMBER 9, 2022

It’s a good idea to find a small work group “and assign a moonshot mission to demonstrate the art of possible,” Carey says. He suggests teams focus “on the data pipelines that drive consistent business logic and metrics across the enterprise. Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 339

Analytics Metrics Government Business Intelligence 339

Apiumhub

JUNE 22, 2021

In this event you will have a chance to listen to practical use cases from some of the most innovative companies in the world such as: Google, LinkedIn, Netflix, NASA, Facebook, The New York Times, Reddit, Ubisoft, Uber, Zalando, Henkel, Shopify, Lufthansa Group, Lego Group, Scania, Ericsson, Atlas Copso and many more.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

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. Edge analytics by definition require in-network deployment.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

Xebia

APRIL 5, 2022

In matters concerning operations, architecture and DevOps, any barriers are overcome by the ubiquitous engineering mindset both our companies have been fostering. Our aim here is twofold: to develop our in-house skills and become the data authority on the market. kol , Chief of Data Engineering. Organization.

Culture 130

Culture Marketing Software Data Engineering 130

Lacework

NOVEMBER 1, 2023

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference.

System Design 52

System Design Systems Review System Data 52

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. Overview of Cloudera Data Warehouse. Benchmark Description.

Performance 91

Performance Cloud Data Storage 91

Capgemini

JANUARY 17, 2023

Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture. Most executives (72 percent) say that data, both fragmented and with poor quality, is likely to be the biggest issue when aspiring to achieve AI goals. This has sped up the time for insights for all groups.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

O'Reilly Media - Ideas

FEBRUARY 2, 2020

One of the biggest challenges operations groups will face over the coming year will be learning how to support AI- and ML-based applications. On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation.

Meeting 72

Meeting Conference Training Testing 72

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. In Parquet, typically you want your files to be around 512 MB and row-group sizes to be around 128 MB.

Strategy 56

Strategy Travel Groups Data 56

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. The Data Engineer.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

DECEMBER 1, 2017

If you’re going to Strata Data Singapore 2017 at the Suntec Singapore Convention & Exhibition Centre , here are four sessions to attend that cover various combinations of my favorite themes: big data, safe data, and cloud data. Pro-tip: I know these speakers would be very happy to meet with you in smaller groups too.

Big Data 40

Big Data Data Cloud Government 40

Apiumhub

AUGUST 12, 2021

He has spoken at many conferences, user groups, etc., His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. He can regularly be seen on conferences and user groups, speaking on Cloud related topics, with a strong focus on Azure. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

JUNE 4, 2019

Inside Unsupervised Learning: Group Segmentation Using Clustering , August 13. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Software Architecture Foundations: Characteristics and Tradeoffs , July 18. Practical Linux Command Line for Data Engineers and Analysts , July 22.

Course 64

Course Training Artificial Inteligence Software Review 64

TIBCO - Connected Intelligence

DECEMBER 11, 2020

To better understand data-driven innovation in the Nordics, I reached out to Enfo Group’s Björn Arkenfall , Executive Vice President. Let’s start with a little background on Enfo Group ? “We We are a Nordic IT service company enabling our client’s data-driven business transformation. Hallå Björn.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. His primary responsibility is to integrate sustainability into the engineering roadmap and utilize the company’s portfolio to champion sustainability solutions.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

O'Reilly Media - Ideas

MAY 1, 2019

Inside Unsupervised Learning: Group Segmentation using Clustering , June 13. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Building Resiliency , July 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

O'Reilly Media - Ideas

JUNE 5, 2019

Inside Unsupervised Learning: Group Segmentation Using Clustering , August 13. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Software Architecture Foundations: Characteristics and Tradeoffs , July 18. Practical Linux Command Line for Data Engineers and Analysts , July 22.

Course 50

Course Training Artificial Inteligence Software Review 50

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Apiumhub

APRIL 18, 2019

The event is organized by Barcelona JUG (Barcelona Java Users Group), a non-profit organization made up of programmers, engineers and other technology lovers. Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Oscar Sacristán Agulló – Data Engineer at Zara. &

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

O'Reilly Media - Ideas

DECEMBER 6, 2018

Best practices were passed through internships in a few groups, and a lot of knowledge was shared in the form of “oral tradition.” Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

Confluent

JUNE 18, 2019

As soon as the number of data points involved in your search feature increases, typically we’ll introduce a broker in between all the involved components. This architectural pattern provides several benefits: Better scalability by allowing multiple data producers and consumers to run in parallel.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. This causes resource restrictions on various groups that use the platform. We see it everywhere.

Data Center 101

Data Center Cloud Data Policies 101

Abhishek Tiwari

DECEMBER 23, 2017

Data integration generally requires in-depth domain knowledge, a strong understanding of data schemas and underlying relationships. This can be time-consuming and bit challenging if you are dealing with hundreds of data sources and thousands of event types (see my recent article on ELT architecture ).

Machine Learning 40

Machine Learning Artificial Inteligence Data Construction 40

TIBCO - Connected Intelligence

JUNE 16, 2021

From strategy, architecture, and design to system integration, we work with clients to identify and realize opportunities to increase their return on investment, improve productivity, and enhance their relationships. The combination allows us to quickly build the 360-degree views of customer data required to drive positive outcomes.”

Data 29

Data Weak Development Team Virtualization Compliance 29

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Kentik

DECEMBER 5, 2016

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. In that post, Eric shows how he found issues on a group of internal hosts that were impacting a critical microservice. How does it work?

Network 40

Network Performance Metrics Software Review 40

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 124

Weak Development Team Data Technical Review Survey 124

Altexsoft

JUNE 11, 2021

Here, KPIs can be created and monitored to uncover potential improvement areas, data mining and/or ML algorithms can be used to detect hidden patterns and dependencies, or conformance checking techniques can be applied to compare the process to a certain ideal model. The biggest challenge here is the increased complexity of data architecture.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

CIO

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. This provides us with a future funnel as we grow and as people retire or move on,” Hill explains.

Technical Advisors 268

Technical Advisors Training Recruiting Programming 268

Cloudera

APRIL 26, 2023

Can you achieve similar outcomes with your on-premises data platform? Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. This is exactly where cloud native architectures excel, and why they are so popular.

Cloud 64

Cloud Data Load Balancer Storage 64

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 105

Data Analytics Disaster Recovery Travel 105

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52