CTOvision

JANUARY 28, 2015

You''ll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers. Product managers.

Big Data 109

Big Data Case Study Conference Study 109

O'Reilly Media - Ideas

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Data Platforms. Data Integration and Data Pipelines.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

JUNE 5, 2019

Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Secure JavaScript with Node.js , July 10. Kubernetes Security , June 10.

Course 50

Course Training Artificial Inteligence Software Review 50

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

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 82

Data Analytics Cloud Technical Review 82

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

JUNE 11, 2021

An Italian management consulting company HSPI publishes a database of process mining projects and case studies annually. In the 2020 application database , there are 551 case studies from 27 countries around the world, proving the spread of process mining adoption and growth of interest in these techniques.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

APRIL 13, 2023

For example, you’ll deal with real-time data streams if you want to adopt predictive maintenance which requires constant condition monitoring or implement an RTLS system to continuously track your handling equipment and other assets. to develop all the data architecture and analytics solutions. Data security. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Netflix Tech

NOVEMBER 22, 2019

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. By watching applications for anomalous actions, security and operations teams can monitor unusual and erroneous behavior. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. By watching applications for anomalous actions, security and operations teams can monitor unusual and erroneous behavior. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Perficient

APRIL 1, 2024

Case Study A private equity organization wants to have a close eye on equity stocks it has invested in for their clients. They want to generate trends, predictions (using ML), and analyze data based on algorithms developed by their portfolio management team in collaboration with data scientists written in Python.

Data 64

Data Azure Case Study Data Engineering 64

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. At Paris-based BNP Paribas, scattered data silos were being used for BI by different teams at the giant bank. “Due

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Kentik

MARCH 7, 2023

Tenets of network observability A detailed explanation of network observability itself is out of the scope of this article, but I want to focus on its core tenets before exploring a couple of brief case studies. Unifying network data onto a single platform provides a single observability interface.

Network 99

Network Cloud Data Case Study 99

Cloudera

APRIL 21, 2022

Its evolution to the present-day cloud-based package is a real-world case study that will likely live in IT textbooks for as long as use cases will be referenced. . MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately.

Security 87

Security Data Insurance System 87

Netflix Tech

NOVEMBER 22, 2019

This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. Thursday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

TIBCO - Connected Intelligence

NOVEMBER 4, 2019

Here is a short list: A comprehensive view on the customer of Volkswagen Germany with data virtualization Data virtualization in real life projects: tips and tricks, do’s and don’ts, and guidelines Can we design data architectures in a technology independent way? The Time is Now for Data Virtualization.

Virtualization 4

Virtualization Artificial Inteligence Data Artificial Intelligence 4

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. a data lake) doesn’t meet your needs or if you find a cheaper option.

Data 76

Data Storage Analytics Data Center 76

O'Reilly Media - Ideas

JUNE 19, 2019

Organizations now also have more use cases and case studies from which to draw inspiration—no matter what industry or domain you are interested in, chances are there are many interesting ML applications you can learn from. A catalog of validation data sets and the accuracy measurements of stored models.

Government 80

Government Artificial Inteligence Machine Learning Testing 80

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Exadel

AUGUST 26, 2020

So, to know what data is available and in what structure it is organized simplifies the overall business processes and makes it possible to see the whole picture in a clear and transparent way. For example, a company may have millions of lines of data in its database, but business leaders need a summary report for just the previous month.

Analytics 52

Analytics Data How To Machine Learning 52

Kentik

OCTOBER 25, 2016

Since there are so few of these, and because it is so difficult to manually change them, most network security teams end up configuring large pools of IP addresses into these objects. For more detail, read our PenTeleData case study. A small pool of statically configured objects that perform baselining of IPs. Deep analytics.

Scalability 40

Scalability Architecture Big Data Network 40

Altexsoft

DECEMBER 9, 2020

Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. Emerging trends 9.

Big Data 52

Big Data Analytics Data Analysis 52