Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

Data Engineering 55

Data Engineering Engineering Data Culture 55

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

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. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Increasing the speed of decision-making by providing access to real-time and on-demand information. It also has a mobile app.

Data 214

Data Analytics Travel Business Intelligence 214

CTOvision

FEBRUARY 12, 2015

Simply view your data as a graphic and use your own talents to interpret what they could mean. Any data can be explored, from Excel spreadsheets to Hadoop big data. Connect directly to your data for live, up-to-date data analysis that taps into the power of your data warehouse.

Software 110

Software Data Analysis Big Data 110

Cloudera

DECEMBER 17, 2021

When he isn’t doing that, Manoj works with various functions of the business – from engineering to sales to leadership – helping to achieve team goals and business objectives. The collaborative culture is next to none!” . When Manoj was asked to describe our culture in a word, “People” is what came to mind.

Engineering 95

Engineering Culture Telecommunications Artificial Inteligence 95

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C.,

Data 148

Data Artificial Inteligence Machine Learning Training 148

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C.,

Data 148

Data Artificial Inteligence Machine Learning Training 148

Hu's Place - HitachiVantara

APRIL 11, 2019

Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?

Data Engineering 81

Data Engineering Artificial Inteligence Machine Learning Technical Review 81

Mobilunity

MARCH 19, 2025

Collaborating with offshore developers assumes contracting professionals from distant regions and implies significant time and cultural differences. Nearshoring involves assembling or extending teams in neighboring countries with similar time zones and shared cultural behaviors. Data engineering.

Trends 40

Trends Technical Review Development Software Review 40

Cloudera

MARCH 10, 2022

Adriana Lika, Director, Big Data and BI at Telefonica Vivo faced many rounds of naysayers in order to get where she is today. For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle. I won the competition and took the IT Director position.”. Changing the mindset.

Data 118

Data Weak Development Team Big Data Energy 118

CIO

DECEMBER 10, 2024

InnoGames is a specialist for mobile and browser games such as Rise of Cultures (pictured), Forge of Empires, Elvenar or The Tribes. Volker Janz has been part of the data team at InnoGames GmbH for over a decade. He develops and maintains distributed systems with a focus on data engineering, big data and AI.

Artificial Inteligence 147

Artificial Inteligence Games Company Artificial Intelligence 147

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

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . With the current working remote culture, this is the perfect time to take advantage of free google cloud training online.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.

Infrastructure 90

Infrastructure Data Technical Review Systems Review 90

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 97

Data Analytics Storage Big Data 97

Netflix Tech

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Julie] I took a traditional path to data science.

Data 92

Data Analytics Culture Video 92

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Artificial Inteligence 86

Artificial Inteligence Machine Learning Culture Engineering 86

Xebia

MARCH 10, 2021

So, this Data Scientist is not capable to fully implement and operate the model he/she developed. We use the definition from the DevOps Agile Skills Association [2]: DevOps is a CULTURAL and OPERATIONAL model that fosters COLLABORATION to ENABLE high-performance IT to ACHIEVE business goals. What is DevOps?

DevOps 130

DevOps Data Analytics Policies 130

AWS Machine Learning - AI

AUGUST 8, 2024

About the Authors Apurva Gawad is a Senior Data Engineer at Twilio specializing in building scalable systems for data ingestion and empowering business teams to derive valuable insights from data. She enjoys to travel and explore new places, foods, and culture.

Artificial Inteligence 111

Artificial Inteligence Data Generative AI AWS 111

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

Mobilunity

NOVEMBER 30, 2022

That’s why a lot of enterprises look for an experienced Big Data engineer to add to their team. And the right data analyst freelance can add innovation factor and boost the company’s performance among the competition. Benefits of Hiring a Data Engineer Freelance. Top Sites to Hire a Data Analyst Freelance.

Data 52

Data How To Recruiting Comparison 52

Cloudera

AUGUST 22, 2024

The Indian Talent Prowess Over nearly a decade, the Bangalore CoE has grown into a robust hub, housing over 600 employees, primarily in engineering roles, which form the backbone of product innovation and customer support together with the team in Chennai.

Innovation 67

Innovation Artificial Inteligence Machine Learning Technical Review 67

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Work on the culture. Think about the functionality you want and results you’re looking for.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. data engineering, data science, data application development, data exchange. Snowflake data management processes.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. Data engineer builds interfaces and infrastructure to enable access to data. So, data engineers make data pipelines work. Develop UI of a solution.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Netflix Tech

MAY 26, 2020

These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines. Hyper Scale At Netflix, our culture gives us the freedom to decide how we solve problems as well as the responsibility of maintaining our solutions so that we may choose wisely.

Network 61

Network IPv6 AWS Infrastructure 61

Capgemini

NOVEMBER 14, 2022

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. Putting data at every business users’ fingertips is the essence of self-service BI.

Agile 52

Agile Technical Review Systems Review Culture 52

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

Cloudera

DECEMBER 18, 2017

“Becoming data-driven is a multi-year journey, not a simple implementation.” Acquiring and using data in a way that simply wasn’t possible up until very recently, requires a huge cultural shift. The good news is that we’re well underway in transforming IT to take advantage of the new data economy.

Data 40

Data Business Transformation Artificial Inteligence Machine Learning 40

StubHub

MARCH 1, 2019

When seen through the prisms of business, gender and cultural politics, “balance” doesn’t have one definition. It means having gender- and cultural-equitable teams, where a multitude of voices and perspectives collaborate to further our innovative work. Explaining and setting up a meritocratic culture and nothing else.

CTO Coach 40

CTO Coach Weak Development Team Leadership Culture 40

Altexsoft

OCTOBER 23, 2019

Tech Alpharetta hosts regular events for tech-focused executives, with engineering-related activities. The events cover domains such as big data, cybersecurity, blockchain, and cryptocurrency. CAPRE’s Annual Greater Atlanta Data Center and Cloud Infrastructure Summit 2020. TechAlpharetta.

Security 13

Security Artificial Inteligence Conference Data Center 13

Altexsoft

OCTOBER 26, 2022

This is how Deloitte defines this role, “The CDO is a catalyst and driver of change, bringing a new culture and mindset, and new ways of working to the enterprise, that would otherwise not have happened or would have happened too slowly.”. Bring culture change. Bring culture change. Develop and integrate a digital strategy.

CTO 52

CTO Organization Technical Review Culture 52

Mobilunity

JANUARY 7, 2025

Internet of Things (IoT) IoT specialist, Embedded Systems Engineer Cloud Computing & DevOps Cloud Engineer, DevOps Specialist, Site Reliability Engineer (SRE) Data Science & Big Data Data Scientist, Data Engineer, BI Analyst, Data Analyst.

Technical Review 40

Technical Review UI/UX Software Review Systems Review 40

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Data siloes. Lack of skilled experts.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer. By Almudena Rodriguez Pardo.

Analytics 66

Analytics Agile Data Big Data 66