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. YouTube was born to share videos but no one could have predicted the unboxing fever. Enter Human Transformation Technology. And while that is true, you’d be missing part of the point.

Artificial Inteligence 208

Artificial Inteligence Artificial Intelligence Survey Technology 208

CIO

MARCH 21, 2022

Website traffic data, sales figures, bank accounts, or GPS coordinates collected by your smartphone — these are structured forms of data. Unstructured data, the fastest-growing form of data, comes more likely from human input — customer reviews, emails, videos, social media posts, etc. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

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

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

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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. Watch our video to better understand their roles. Who does what in a data science team. Machine learning engineer vs. data scientist.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

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. . Another popular video is the Google Cloud Platform Certification Path which walks you through all of the available Google Cloud certifications.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

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.

Big Data 33

Big Data Data Storage Journal 33

CIO

DECEMBER 10, 2024

This could lead to more dynamic and unpredictable gaming experiences, as illustrated in the white paper Diffusion Models Are Real-Time Game Engines (PDF). They can learn these using video material or motion capture data and transfer them to game charactersas offered by animation specialist Motorica , for example.

Games 147

Games Artificial Inteligence Company Artificial Intelligence 147

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Cloudera

MAY 27, 2021

Right now, someone somewhere is writing the next fake news story or editing a deepfake video. Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. If y ou have good intentions, you can make it very good.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games. Data Innovation Summit topics.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. Creating a cube is a custom process each time, because data can’t be updated once it was modeled in a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Netflix Tech

SEPTEMBER 18, 2020

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet. Do they cause less errors?

Data 92

Data Analytics Culture Video 92

Netflix Tech

SEPTEMBER 10, 2019

ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Our data scientists faced numerous challenges in our previous infrastructure.

Analysis 88

Analysis Metrics Software Review Testing 88

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

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. By the way, you can watch our video to understand how APIs work in general. API principles explained.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Cloudera

JANUARY 20, 2021

In order to enable connected manufacturing and emerging IoT use cases, ECC needs a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . More Data Collection Resources.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

CIO

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. To get good output, you need to create a data environment that can be consumed by the model,” he says.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Hu's Place - HitachiVantara

MARCH 18, 2019

City of Istanbul Governorship: Safe, Smart Campus The challenge was to secure the governorship campus and include multiple existing video and IoT systems. The solution was to implement Hitachi Vantara’s Smart Spaces solution with Video Intelligence to integrate disparate systems into a single view.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Kentik

MAY 23, 2017

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven.

Network 40

Network Open Source Big Data Load Balancer 40

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.

Machine Learning 87

Machine Learning Artificial Inteligence Culture Engineering 87

Mobilunity

DECEMBER 9, 2024

Data Science (Bachelors) amplifies a fundamental AI aspect – management, analysis, and interpretation of large data sets, giving strong knowledge of machine learning, data visualization, big data processing, and statistics for designing AI models and deriving insights from data. NLP engineer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Kentik

AUGUST 29, 2016

Kentik CEO Avi Freedman gave an overview of our company and of our post-Hadoop Big Data engine, which ingests billions of NetFlow, sFlow, IPFIX, BGP, and SNMP data records, offers ad-hoc analyses, alerting, dashboarding, and provides open API integration.

Analytics 40

Analytics Banking Data Engineering Network 40

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

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. Demo Video.

Data 82

Data Analytics Cloud Technical Review 82

Kentik

JUNE 26, 2017

Needless to say, the little straw hut of sparse, summarized data was no match for the huffing and puffing of real-world use cases. When the big bad wolf came to the door, the system collapsed. Traditional Big Data Wood House The second organization chose to build using a traditional, Hadoop-style big data system.

Big Data 40

Big Data Architecture Analytics Storage 40

Altexsoft

FEBRUARY 8, 2021

Here’s also a video for an overview of demand forecasting and predictive analytics. There are two main approaches to demand planning: Traditional statistical methods make forecasts based on historical data and assume the continuation of existing trends. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Who's Hiring?

Education 42

Education Software Engineering PHP System Design 42

The Citus Data

MARCH 31, 2023

on-demand talk, performance, PostgreSQL) PostgreSQL Security: Defending Against External Attacks , by Taras Kloba, a big data engineering manager at SoftServe. (on-demand So much so that I sat down a few weeks ago and recorded this “virtual vs. in-person” video monologue. and “why not in-person?” quite a lot.

Azure 84

Azure Open Source Virtualization Software Engineering 84