The Morning Paper

DECEMBER 13, 2020

An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. For example Token Blocking makes one block for each unique token in values, regardless of the attribute. 2020, Article No.

Big Data 83

Big Data Open Source Processing Analytics 83

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. By Werner Vogels on 18 August 2011 04:00 PM. Comments ().

Big Data 111

Big Data Analytics AWS Cloud 111

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. A small example might help bring this to life. Universe(0.5,

Big Data 57

Big Data Analytics Latency Azure 57

Scalegrid

FEBRUARY 8, 2024

Within Amazon S3’s offerings are features like metadata tagging, different classes of data movement and storage options, configuring control over access permissions, and ensuring safety against disasters through data replication mechanisms.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

JANUARY 13, 2022

This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. The issue may occur in the source Kafka stream, the main Flink job, or the sinks to which the Flink job is writing data. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Dynatrace Grail unifies data from logs, metrics, traces, and events within a real-time model.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. See example below. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

APRIL 21, 2021

On the Dynatrace Business Insights team, we have developed analytical views and an approach to help you get started. To do this effectively, you need a big data processing approach. The three challenges to optimizing Core Web Vitals is exactly why the Dynatrace Business Insights team have built the Insights Analytics Engine.

Traffic 260

Traffic Metrics Mobile Analytics 260

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JULY 6, 2022

Vulnerability management is one example of a DevSecOps workflow that teams should automate to ensure vulnerability scans run regularly. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

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. Many of these services often have the requirement to do a fast lookup for this fine-grained data which is generated periodically.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 274

Artificial Intelligence Cloud Innovation Strategy 274

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Netflix TechBlog

APRIL 29, 2019

We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions. CORE The CORE team uses Python in our alerting and statistical analytical work. We build Python libraries to interact with other Netflix platform level services.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

NOVEMBER 20, 2023

To compensate for that, ETL workflows often use a lookback window, based on which they reprocess the data in that certain time window. For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Let’s look at the Azure DB for MariaDB overview as an example. See the health of your big data resources at a glance. Azure Virtual Network Gateways.

Azure 144

Azure Cloud Big Data Virtualization 144

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. This new, object-oriented software technique provides a memory-based orchestration framework for tracking and analyzing telemetry from each data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Databricks Delta is a perfect example of this class. A solution like Delta makes ETL unnecessary for the data warehousing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Testsigma

SEPTEMBER 8, 2021

This is just a small example that we all can relate to and understand the cloud. If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. In IT, however, the cloud means a lot more than just streaming media on the system. Signup now. AppPerfect.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Progressive Web App Dev by Example. Inclusive Components. Using Webpagetest. Progressive Web Apps Dean.

Performance 75

Performance Social Media Website Website Performance 75

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 40

All Things Distributed

JUNE 29, 2011

For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

AUGUST 17, 2011

A good example is the comments section on this blog; a few lines of JavaScript and these pages have a dynamic nature with comments, trackbacks and social media discussion showing up as they happen. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

JANUARY 11, 2011

The one thing that I have always struggled with during my travels are the data plans of the cell phone companies. One wireless company for example has an international plan that will charge you $25 per month for 50MB after which they will charge you $20 per MB. Driving down the cost of Big-Data analytics.

Wireless 107

Wireless AWS Internet Internet 107

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Collaborative filtering.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

MAY 24, 2011

allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. Driving down the cost of Big-Data analytics. Due to restrictions in DNS a root domain ("zone apex") cannot be mapped to another domain name using a CNAME record.

Internet 114

Internet Internet AWS Scalability 114