Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 193

Software Software Analytics Big Data 193

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. All three sampling strategies are heavily used at Microsoft. VLDB’19.

Big Data 57

Big Data Analytics Latency Azure 57

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

O'Reilly

SEPTEMBER 19, 2023

” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” Goodbye, Hadoop.

Hardware 97

Hardware Storage Big Data Blockchain 97

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming. So, what is IT automation? What is IT automation?

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data 179

Big Data Cache Engineering Data Engineering 179

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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 210

Processing Big Data Efficiency Engineering 210

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. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Aggregation.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

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.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. This approach has a handful of benefits.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. They need automated approaches based on real-time, contextualized data. As AI becomes increasingly important to care delivery, the healthcare sector is pursuing a national strategy for AI.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

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. The four stages of data processing. There are four stages of data processing: Collect raw data. Analyze the data.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance.

Azure 150

Azure Cloud Big Data Virtualization 150

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152

Retail C++ Analytics Metrics 152

Tech News Gather

OCTOBER 7, 2023

In the ever-evolving landscape of business and marketing, where digital strategies often take center stage, it’s easy to overlook the enduring power of a simple phone call. Let’s explore why you should dedicate more thought and consideration to implementing a phone call tracking app in your business strategy.

Strategy 52

Strategy Big Data Scalability Games 52

The Netflix TechBlog

MARCH 2, 2021

Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. Learning through data is in Netflix’s DNA. It can be hard to know from the outside.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 192

Cloud DevOps Open Source Retail 192

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. 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. Value creation through data. Strategically, IT doesn't matter.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

DZone

JUNE 4, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. NVMe Storage Use Cases. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

The Netflix TechBlog

FEBRUARY 16, 2021

As we expand offerings rapidly across the globe, our ideas and strategies around plans and offers are evolving as well. These expressions (rules) are evaluated in the current request session context and can access data such as A/B test assignments, necessary member information, customized input, etc. Persistence Layer?—?SKUDB:

Mobile 209

Mobile Engineering Infrastructure Scalability 209

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. 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.

Cloud 137

Cloud Big Data AWS Analytics 137

Testsigma

MAY 14, 2021

Data is present on the local server and hence cannot be accessed from everywhere. Data is present on the cloud hence can be accessed from any location. May pose security issues, since the data is handed over to a third party during testing. Process: Chalking out the strategy to make a move to cloud-based testing.

Cloud 67

Cloud Testing Testing Tools Internet 67

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. The US Federal Cloud Computing Strategy lays out a â??Cloud Government and Big Data. Cloud First. Cloud Firstâ?? With AWSâ??s Cloud Readyâ??;

AWS 111

AWS Government Big Data Cloud 111

Testsigma

SEPTEMBER 8, 2021

Dynamic locator strategy : Cloud automation testing in Testsigma comes with a dynamic locator strategy that helps in creating stable and reliable test cases. 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

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. then ELT is a more preferred option.

Big Data 40

Big Data Retail Storage Google 40

All Things Distributed

SEPTEMBER 29, 2016

He has said, “By moving a large part of our IT system from our old IBM mainframe to AWS, we have adopted a cloud first strategy, boosting our power of innovation. Allez, rendez-vous à Paris – Une nouvelle région AWS arrive en France ! Je suis heureux de vous annoncer aujourd’hui notre projet d’ouverture d’une nouvelle région AWS en France !

AWS 166

AWS IoT Internet Internet 166

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. This book shares guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy.

Performance 75

Performance Social Media Website Website Performance 75

O'Reilly

JANUARY 13, 2020

Meanwhile, Python continues to be the language of choice for data science. Will the incremental strategy of delivering pattern matching and algebraic data types ( Project Amber ) pay off? And serialization support now means that it’s even easier to convert JSON data into Kotlin objects, and vice versa.

Programming 128

Programming Java Google C++ 128

All Things Distributed

JUNE 29, 2011

AWS also applies the same customer oriented pricing strategy: as the AWS platform grows, our scale enables us to operate more efficiently, and we choose to pass the benefits back to customers in the form of cost savings. Often customers are surprised about our strategy to help them drive their costs down.

AWS 104

AWS Retail Innovation Strategy 104

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). This post reflects their own opinions and does not represent Google’s or Baidu’s positions, strategies or opinions. Computer architecture is an important and exciting field of computer science, which enables many other fields (eg.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

All Things Distributed

JULY 3, 2011

I will be presenting about how CIO strategies for business continuity are changing in the light of increasing business agility. I will give a keynote on enterprise migration strategies. Driving down the cost of Big-Data analytics. July 5 - Cloud IT Leadership seminar on Business Continuity in partnership with Deloitte.

AWS 67

AWS Storage Big Data Cloud 67

All Things Distributed

AUGUST 19, 2011

AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Driving down the cost of Big-Data analytics. I will try to highlight some of those in coming weeks. This week it is an opening for senior leaders with AWS Database Services.

AWS 75

AWS Database Storage Scalability 75

All Things Distributed

JULY 11, 2011

Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled.

AWS 85

AWS Storage Cloud Big Data 85

Smashing Magazine

AUGUST 9, 2021

Refactoring CSS: Strategy, Regression Testing And Maintenance written by Adrian Bece. She is the Principal Designer at 8th Light, where she designs and builds custom software and consults on safe and inclusive design strategy. The Inclusive Safety Project. Eva on Twitter. Eva’s personal site. Weekly Update.

Design 98

Design Education Network Google 98