Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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 211

Java Scalability Traffic Architecture 211

The Netflix TechBlog

JUNE 20, 2024

This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost. Last but not least, thank you to the organizers of the Data Engineering Open Forum: Chris Colburn , Xinran Waibel , Jai Balani , Rashmi Shamprasad , and Patricia Ho.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

Dynatrace

MARCH 24, 2023

Using Marathon, its data center operating system (DC/OS) plugin, Mesos becomes a full container orchestration environment that, like Kubernetes and Docker Swarm, discovers services, balances loads, and manages application containers. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

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. In this approach, we record the requests and responses for the service that needs to be updated or replaced to an offline event stream asynchronously.

Traffic 347

Traffic Latency Tuning Systems 347

Alex Podelko

DECEMBER 19, 2019

Boris has unique expertise in that area – especially in Big Data applications. To facilitate discussions, in addition to Q&A, we have panels, “Meeting of the Minds” sessions, and networking events. How to select appropriate IT Infrastructure to support Digital Transformation by Boris Zibitsker, BEZNext.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

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. Fraud.net is a good example of this.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

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. Many techniques that are described below are perfectly applicable to this model.

Database 279

Database Ecommerce Efficiency Engineering 279

Scalegrid

JUNE 28, 2024

This reliability also extends to fault tolerance, as RabbitMQ’s mechanisms ensure that even in the event of a node failure, the message delivery system persists without interruption, safeguarding the system’s overall health and functionality. Components can operate independently, confident that messages will be delivered reliably.

IoT 130

IoT Healthcare Programming Open Source 130

The Netflix TechBlog

DECEMBER 21, 2020

These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Both automatic (event-driven) as well as manual (ad-hoc) optimization. It decides what to do and when to do in response to an incoming event. Transparency to end-users.

Storage 212

Storage Latency Efficiency Data Engineering 212

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Processing 219

Processing Big Data Efficiency Engineering 219

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 105

Education Software Engineering Scalability Engineering 105

The Netflix TechBlog

NOVEMBER 3, 2023

This makes the query service lightweight, scalable, and execution agnostic. We leverage Apache Flink’s internal Planner classes to parse and transform SQL queries without creating a fully-fledged streaming table environment. We plan on gradually expanding the supported capabilities over time.

Processing 271

Processing Engineering Infrastructure Latency 271

High Scalability

MAY 12, 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 102

Education Software Engineering Scalability Engineering 102

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 102

Education Software Engineering Scalability Engineering 102

All Things Distributed

JUNE 20, 2017

After the launch of the AWS APAC (Hong Kong) Region, there will be 19 Availability Zones in Asia Pacific for customers to build flexible, scalable, secure, and highly available applications. In 2010, we opened our first AWS Region in Singapore and since then have opened additional regions: Japan, Australia, China, Korea, and India.

AWS 126

AWS Logistics Cloud Social Media 126

High Scalability

MAY 26, 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 100

Education AWS Software Engineering Scalability 100

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 105

Education Software Engineering Engineering Big Data 105

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 105

Education Software Engineering Engineering Big Data 105

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 130

Cache Storage Scalability Architecture 130

All Things Distributed

JULY 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. Comments ().

AWS 69

AWS Big Data Media Storage 69

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Big Data Analytics Architecture 78

All Things Distributed

JULY 3, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Next to customer visits I will take part in a number of events organized by AWS and by our partners. Next to customer visits I will take part in a number of events organized by AWS and by our partners. Driving down the cost of Big-Data analytics.

AWS 62

AWS Storage Cloud Big Data 62

All Things Distributed

SEPTEMBER 30, 2010

Werner Vogels weblog on building scalable and robust distributed systems. The AWS Events team is organizing a number of events where I will present together with a number of AWS customers: AWS Cloud Computing Event in Berlin on October 7 with AWS customers moviepilot , Cellular , Schnee von morgen and Plinga. Comments ().

AWS 66

AWS Cloud Storage Best Practices 66

Highly Scalable

MARCH 10, 2015

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. Sale events. Problem 5 : Sales Event Planning. Category management and assortment planning.

Retail 152

Retail C++ Analytics Metrics 152

The Morning Paper

JUNE 23, 2019

We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e., If you decompose data across multiple keys to avoid this, you then typically run into cross-key atomicity issues. getting the whole value when you supply the key). From RInK to LInK.

Cache 79

Cache Latency Google Network 79

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. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

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. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Highly Scalable

JANUARY 31, 2012

Solution II: The second solution requires only one MapReduce job, but it is not really scalable and its applicability is limited. It worth noting that Combiners can be used in this schema to exclude duplicates from category lists before data will be transmitted to Reducer.

C++ 144

C++ Network Ecommerce Processing 144

Testsigma

SEPTEMBER 8, 2021

It taught us how just an easy monthly subscription can give us access to thousands of movies, games, and live events such as the Tokyo Olympics via streaming. AppPerfect is one among the tools list that is a versatile tool – it is of great use for not only testers but developers and big data operations. Signup now.

Cloud 76

Cloud Testing AWS Testing Tools 76

Rigor

SEPTEMBER 11, 2019

Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others. Sergey is a principal engineer at Meetup and a well-known performance educator who regularly runs monthly hands-on Meet4SPEED events in New York City. Sergey Chernyshev.

Performance 89

Performance Education Google Website 89

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. Hope to see you in Nashville!

DevOps 41

DevOps Network Best Practices Programming 41

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. Hope to see you in Nashville!

DevOps 40

DevOps Network Best Practices Programming 40

The Morning Paper

SEPTEMBER 19, 2019

Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. DASH introduces Database Shadowing , a new crash recovery technique for SQLite. speedup over the best performing existing method.

Blockchain 46

Blockchain Hardware Google Speed 46

VoltDB

OCTOBER 17, 2024

Respond to disruptions: Supply chain disruptions, such as natural disasters or geopolitical events, can have a significant impact on production. Big Data Analytics Handling and analyzing large volumes of data in real-time is critical for effective decision-making.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Adrian Cockcroft

NOVEMBER 18, 2024

Discover how their solution saves customers hours of manual effort by automating the analysis of tens of thousands of documents to better manage investor events, report internally to executive teams, and find new investors to target. After re:Invent, I will update this post with the videos from the event, as I did last year.

AWS 98

AWS Energy Lambda Government 98