CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 174

Strategy Technical Review Data Software Review 174

O'Reilly Media - Data

APRIL 3, 2018

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Here are some examples: Data Case Studies (12 presentations). Privacy and security. Findata Day and Financial Services sessions.

Machine Learning 231

Machine Learning Artificial Inteligence Company Case Study 231

CIO

NOVEMBER 9, 2022

There are two main aspects of NLP as it relates to analytics, Menninger says: natural language search — also known as natural language query—and natural language presentation — also known as natural language generation. Natural language presentation deals with the results of analyses rather than the query portion, Menninger says.

Analytics 205

Analytics Metrics Government Business Intelligence 205

Altexsoft

OCTOBER 24, 2019

We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Perficient

MARCH 27, 2025

Our Databricks Practice holds FinOps as a core architectural tenet, but sometimes compliance overrules cost savings. Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI).

Compliance 64

Compliance Systems Review Policies Storage 64

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 The team spent about six months building and testing the platform architecture and data foundation, and then spent the next six months developing the various use cases.

Technical Review 157

Technical Review Analytics Innovation Architecture 157

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

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. Here we’ll look at the common architecture and the flow of such a system.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Capgemini

MARCH 19, 2025

By harnessing cutting-edge AI and advanced data analysis techniques, participants, from seasoned professionals to aspiring data scientists, are building tools to empower educators and policy makers worldwide to improve teaching and learning. percentage points per year.

Generative AI 72

Generative AI Education Artificial Inteligence Policies 72

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 147

Groups Security Development Programming 147

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

CIO

DECEMBER 10, 2024

A detailed view of the KAWAII architecture. InnoGames KAWAII accesses data from our internal wiki and optionally also tickets from Jira. To ensure the relevance of the information and avoid outdated data, we can use the Confluence Query Language (CQL) to specifically select the wiki pages that are to be integrated into KAWAII.

Games 147

Games Artificial Inteligence Company Artificial Intelligence 147

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

Netflix Tech

FEBRUARY 14, 2025

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. It filters out any invalid entries and enriches the valid ones with additional metadata, such as show or movie title details, and the specific page and row location where each impression was presented to users.

Systems Review 66

Systems Review Technical Review Data Metrics 66

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

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

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data 76

Data Compliance Architecture Data Engineering 76

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

CTOvision

JANUARY 28, 2015

We''ve added new sessions and tracks to reflect challenges that have emerged in the data field— including security, ubiquitous computing, collaboration, reproducibility, new interfaces, emerging architecture, building data teams, machine data —and much more. Data scientists. Data engineers.

Big Data 109

Big Data Case Study Conference Study 109

Cloudera

JUNE 7, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Where data flows, ideas follow.

Data 112

Data Architecture Analytics Big Data 112

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Compliance Technical Review Banking 88

Cloudera

APRIL 22, 2021

Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects. Collects and aggregates metadata from components and present cluster state.

Data 101

Data Storage Architecture Big Data 101

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

O'Reilly Media - Ideas

JUNE 4, 2019

Giving a Powerful Presentation , July 25. How to Give Great Presentations , August 13. Introduction to Statistics for Data Analysis with Python , August 14. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15.

Course 92

Course Training Artificial Inteligence Software Review 92

Mentormate

JANUARY 11, 2022

Human-Centered Design, Composable Architectures, and Citizen Builders. Platform and managed service vendors continue to roll out better solutions to the people shortage challenges presented above. One important note — building a blended solution of managed services and custom code takes good enterprise architectural oversight.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Altexsoft

DECEMBER 9, 2020

Today, most businesses use some kind of software to gather historical and statistical data and present it in a more understandable format; the decision-makers then try to interpret this data themselves. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

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 84

Innovation Data Artificial Inteligence Machine Learning 84

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. different analytical frameworks) for complex use cases that span different stages across the data lifecycle? CRM platforms). Conclusion .

Scalability 94

Scalability Data Technical Review Analytics 94

Cloudera

MAY 3, 2021

Last year presented business and organizational challenges that hadn’t been seen in a century and the troubling fact is that the challenges applied pains and gains unequally across industry segments. Either they have to build rigid architecture for the highest maximum data surge, or build a system that is elastic and scalable.

Scalability 103

Scalability Agile Data Systems Review 103

O'Reilly Media - Ideas

FEBRUARY 11, 2019

We’ve assembled sessions from leading companies, many of which will share case studies of applications of machine learning methods, including multiple presentations involving deep learning: Strata Business Summit. Temporal data and time-series analytics. AI and Data technologies in the cloud. Deep Learning. Security and privacy.

Big Data 108

Big Data Technology Tools Cloud 108

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 98

Strategy Data Technical Review Weak Development Team 98

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

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 109

Artificial Inteligence Generative AI AWS Serverless 109

TIBCO - Connected Intelligence

AUGUST 10, 2020

Your data demands, like your data itself, are outpacing your data engineering methods and teams. You’ll discover that they all have identified data virtualization as a must-have addition to your data integration tooling and a critical enabler to a more modern, distributed data architecture.

Virtualization 69

Virtualization Data How To Data Engineering 69

OpenCredo

JULY 13, 2018

The Power of the Architecture-driven Organisation. Project Datatron: Architecture-driven Collaboration. This isn’t the only organisational problem an engineering consultant may encounter. At first it looked like a fairly straightforward data engineering problem. – Melvin Conway.

Architecture 40

Architecture Fractional CTO CTO Coach Engineering 40

O'Reilly Media - Ideas

MARCH 6, 2019

Giving a Powerful Presentation , March 25. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 15

Course Artificial Inteligence Training Machine Learning 15