Netflix Tech

JULY 15, 2021

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

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Data Engineering Engineering Data Big Data 79

Cloudera

MAY 2, 2019

Last month, I moderated The Women in Big Data panel hosted by DataWorks Summit and sponsored by Women in Big Data. The conversation began by speakers telling their background stories and how they became involved in technology and big data. Read Hilary’s book on this topic: Ethics and Data Science.

Big Data 93

Big Data Data Artificial Intelligence Artificial Inteligence 93

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 108

Big Data Technology Tools Cloud 108

Altexsoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

TechCrunch

NOVEMBER 14, 2022

In a statement, Mike Rosam, Co-Founder at Quix, said: “Many companies are struggling to combine raw technologies like Kafka into real-time data capabilities… This new capital will fuel our mission to simplify event-driven data engineering so that more companies can build modern data-intensive apps.”.

Data 208

Data B2B Artificial Inteligence Machine Learning 208

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Big Data Analytics Tools Applications 78

CIO

MARCH 21, 2022

For more on data scientist job descriptions from a hiring perspective, see “ Data scientist job description: Tips for landing top talent.”. Data scientist vs. data analyst. Data scientists often work with data analysts , but their roles differ considerably. Data scientist skills.

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Analytics Data Technical Review Analysis 205

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

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Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

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Open Source Artificial Inteligence Machine Learning Big Data 117

CIO

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 The difference between data analysts and data scientists comes down to timescale.

Data 148

Data Analytics Transportation Business Intelligence 148

CTOvision

MARCH 5, 2014

By Bob Gourley L-3 Acquires Data Tactics Corporation – Adds New Big Data Analytics and Cloud Solutions Capabilities. NEW YORK, Mar 05, 2014 (BUSINESS WIRE) — L-3 Communications announced effective today that it has acquired Data Tactics Corporation. Its highly tailored solutions are used by the U.S.

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Analytics Big Data Data Engineering Analysis 104

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.

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Data Engineering Engineering Data Culture 55

CIO

JUNE 7, 2022

Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like.

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Analytics Data Analysis Business Analytics 203

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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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

The Crazy Programmer

MARCH 14, 2020

The existence of Instagram influencers, YouTubers, remote software QA testers , big data engineers, and so on was unthinkable a decade ago. That’s why this discipline uses research to comprehend how the human brain analyzes information and what drives motivation to change the learning experience.

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Artificial Intelligence Artificial Inteligence Survey Technology 208

CTOvision

JANUARY 28, 2015

Strata + Hadoop World is where big data''s most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists.

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Big Data Case Study Conference Study 109

TechCrunch

AUGUST 16, 2022

Bramhavar came to MIT by way of a photonics research position at Intel, while Chou co-founded another startup — Anoka Microsystems — designing a low-cost optical switch. Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS.

Resources 175

Resources Cloud Engineering AWS 175

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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Big Data Data Google Cloud Open Source 59

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

Battery Ventures

OCTOBER 7, 2020

The research pinpointed some of the mega-trends—including cloud computing and the rise of open-source technology—that are upending today’s huge enterprise-IT market as organizations across industries push to digitize their operations by modernizing their technology stacks.

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Open Source Cloud Google Cloud Azure 144

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. He also serves as Gartner’s lead analyst for Microsoft, coordinating Gartner’s research activities. He also manages the LinkedIn group Awesome Ways Big Data Is Used to Improve Our World.

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Artificial Inteligence Technical Advisors Data Machine Learning 110

CIO

DECEMBER 6, 2023

With assistance from FPT Software, the company also managed to accelerate product innovations by setting up a joint product Center of Excellence (CoE) to research best practices on product roadmaps, implementation, and maintenance.

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Airlines Innovation Automotive Resources 174

Hacker Earth Developers Blog

JUNE 26, 2019

Prospective candidates should be good at collecting, analyzing, and making inferences from data. Machine learning : This is the art of classifying or grouping data for prediction. An ideal data scientist should be able to use big data technologies to create pipelines that feed machine learning algorithms.

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Data How To Artificial Inteligence Machine Learning 200

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. The project is filled with innovative data visualizations. It’s very similar to Excel so Excel skills transfer well.

Data 214

Data Analytics Travel Business Intelligence 214

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

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Big Data Analytics Data Analysis 52

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. This is the place where you can bring ideas to life.”. Let innovators innovate.

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. This is the place where you can bring ideas to life.”. Let innovators innovate.

Data 148

Data Artificial Inteligence Machine Learning Training 148

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

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Data Technical Advisors Technical Review Artificial Inteligence 210

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. There’s no clear problem formulation, no clear loss function, lots of various data sets to use.

Data 101

Data Big Data Artificial Inteligence Machine Learning 101

Erik Bernhardsson

OCTOBER 27, 2015

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. There’s no clear problem formulation, no clear loss function, lots of various data sets to use.

Data 100

Data Big Data Artificial Inteligence Machine Learning 100

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Analytics maturity model.

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Analytics Technical Review Technology Applications 102

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 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data 112

Data Architecture Analytics Big Data 112

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

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Big Data Data Storage Journal 33

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Data validation. Data preparation.

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Artificial Inteligence Machine Learning DevOps Tools 145