Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis 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. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

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. With these basic concepts in mind, we can proceed to the explanation of Kafka’s strengths and weaknesses.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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

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

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.

Big Data 78

Big Data Analytics Tools Applications 78

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. report they have established a data culture 26.5%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Cloudera

MARCH 10, 2022

We surveyed some of the most inspiring female leaders in data from across our global customers to find out how bias has affected their careers and how they believe we can break the cycle. . It’s not all bad news. For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle.

Data 118

Data Weak Development Team Big Data Energy 118

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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

Altexsoft

DECEMBER 14, 2022

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. million monthly active developers sharing 13.7 Docker registries.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

JULY 23, 2020

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

AUGUST 19, 2022

One of the important steps away from spreadsheets and towards developing your BI capabilities is choosing and implementing specialized technology to support your analytics endeavors. Microsoft Power BI is an interactive data visualization software suite developed by Microsoft that helps businesses aggregate, organize, and analyze data.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

APRIL 26, 2022

The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. Developed in 2012 and officially launched in 2014, Snowflake is a cloud-based data platform provided as a SaaS (Software-as-a-Service) solution with a completely new SQL query engine.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Assemble the data team. Supply chain management process.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JUNE 11, 2021

Alexander Rinke, co-founder and co-CEO of Celonis, emphasizes the importance of process analysis and optimization BEFORE starting an RPA project: “If a process is already flawed, RPA will only make a bad process faster. As part of their development strategy, they wanted to produce new samples and deliver them to customers within 15 days.

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. Steps to an Effective Data Governance Implementation Plan.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Cloud-based data integration tools.

Tools 52

Tools Data Software Review Open Source 52

Mobilunity

NOVEMBER 11, 2024

It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems. While we’re chatting with our ChatGPT, Bards (now – Geminis), and Copilots, those models grow, learn, and develop. So, what does it take to be a mighty creator and whisperer of models and data sets?

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

Altexsoft

FEBRUARY 22, 2022

Predictive maintenance (PdM) involves constant monitoring of your equipment condition and conducting repairs only when bad trends are detected – but before breakdowns occur. Integration with scheduling software will support your workforce management and help organize shifts of service teams.

Software Review 52

Software Review Technical Review Software Technology 52

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. To buy or build?

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Poor data quality, reliability, and integrity. Issues with data security and governance. Data consumption layer.

Architecture 52

Architecture Data Storage Machine Learning 52

StubHub

MARCH 1, 2019

In my role as Global Head of Diversity & Inclusion at StubHub, creating a balanced climate means creating balanced teams, balanced leadership, balanced compensation, and balanced career growth. It means having gender- and cultural-equitable teams, where a multitude of voices and perspectives collaborate to further our innovative work.

CTO Coach 40

CTO Coach Weak Development Team Leadership Culture 40

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

NOVEMBER 9, 2021

The International Association for Contract and Commercial Management (IACCM) research showed that on average, companies lose around 9 percent of annual revenue due to poor contract management. It can also be an indicator of poor planning. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

BPM

JANUARY 18, 2019

So BPM is today another form of low-code application development. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. Success will require teams to listen to the business not just to the data.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

JANUARY 25, 2021

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We haven’t combined data from multiple terms. frameworks. FaaS, a.k.a. serverless, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

CIO

FEBRUARY 20, 2025

The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. With updated data collection capabilities, companies could find a treasure trove of data that their AI projects could feed on. We are in mid-transition, Stone says.

Software Review 162

Software Review Weak Development Team Technical Review Cloud 162