Big Data, Code, Processing and Scalability - Technology Performance Pulse

Write Optimized Spark Code for Big Data Applications

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data

Big Data Code Tuning Open Source

Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing

Processing Big Data Efficiency Engineering

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data

Big Data Processing Lambda Database

Microsoft Azure Event Hubs

DZone

FEBRUARY 23, 2023

Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second. Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub.

Azure

Azure Big Data Analytics Storage

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Another dimension of scalability to consider is the size of the workflow.

Java

Java Scalability Traffic Architecture

Streaming SQL in Data Mesh

The Netflix TechBlog

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. We plan on gradually expanding the supported capabilities over time.

Processing

Processing Engineering Infrastructure Latency

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. Data transfer technology.

Cache

Cache Storage Scalability Architecture

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Moreover, allowing the device to execute untested server-side code paths can inadvertently expose an attack surface area for potential misuse.

Traffic

Traffic Latency Tuning Systems

Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. Besides, the mixed-use of the metadata files and business logic code adds another layer of maintenance complexity.

Mobile

Mobile Engineering Infrastructure Scalability

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

What makes in-memory computing unique and powerful is its two-fold ability to host fast-changing data in memory and run analytics code within a few milliseconds after new data arrives. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT

IoT Analytics Big Data Architecture

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Latency

Latency Storage Big Data Tuning

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High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education

Education Software Engineering Scalability Engineering

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education

Education Software Engineering Scalability Engineering

Post: Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education

Education Software Engineering Engineering Big Data

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education

Education Software Engineering Engineering Big Data

Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics

Analytics Architecture Scalability Software Architecture

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. Summing Up: Do More in Real Time.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. Summing Up: Do More in Real Time.

Analytics

Analytics IoT Lambda Big Data

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. What gives real-time digital twins their agility compared to complex, enterprise-based data management systems is their simplicity.

Logistics

Logistics Analytics Scalability Cloud

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. What gives real-time digital twins their agility compared to complex, enterprise-based data management systems is their simplicity.

Logistics

Logistics Analytics Scalability Cloud

NoSQL Data Modeling Techniques

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. Besides this, elimination of these features had an extremely important influence on the performance and scalability of the stores. Data duplication and denormalization are first-class citizens.

Database

Database Ecommerce Efficiency Engineering

40+ Best Web Development Blogs of 2018

KeyCDN

OCTOBER 2, 2018

That’s why we’ve compiled an exhaustive list of web development blogs and newsletters to make this process easier. Check out the Almanac for CSS property and selector-specific insights, or dive straight into the Snippets to grab some reusable code. Visit website 4. Visit website 12. Visit website 14. Visit website 17.

Development

Development Website Design Code

MapReduce Patterns, Algorithms, and Use Cases

Highly Scalable

JANUARY 31, 2012

All descriptions and code snippets use the standard Hadoop’s MapReduce model with Mappers, Reduces, Combiners, Partitioners, and sorting. It is required to save all items that have the same value of function into one file or perform some other computation that requires all such items to be processed as a group.

C++

C++ Network Ecommerce Processing

World’s Top Web Performance Leaders To Watch

Rigor

SEPTEMBER 11, 2019

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Maximiliano Firtman. Maximiliano Firtman.

Performance

Performance Education Google Website

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS

AWS Cloud Artificial Intelligence IoT

Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud

Cloud Big Data AWS Analytics

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. To our shareowners: Random forests, naÃ¯ve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. All Things Distributed. Comments ().

Technology

Technology Technology AWS Storage

Technology Performance Pulse

Write Optimized Spark Code for Big Data Applications

Incremental Processing using Netflix Maestro and Apache Iceberg

Trending Sources

In-Stream Big Data Processing

Microsoft Azure Event Hubs

Mastering Hybrid Cloud Strategy

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

Streaming SQL in Data Mesh

Redis vs Memcached in 2024

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Need for Real-Time Device Tracking

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

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Use Digital Twins for the Next Generation in Telematics

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Aggregate Analytics

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

NoSQL Data Modeling Techniques

40+ Best Web Development Blogs of 2018

MapReduce Patterns, Algorithms, and Use Cases

World’s Top Web Performance Leaders To Watch

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

Expanding the Cloud: Introducing Amazon QuickSight

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

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