Dynatrace

DECEMBER 15, 2022

To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. If malware, data corruption, or another security breach occurs, ITOps teams work with security teams to identify, isolate, and remediate affected systems to minimize damage and data loss.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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 Front Door.

Azure 227

Azure Cloud Big Data Virtualization 227

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. tactical) in nature.

Big Data 255

Big Data Government Processing Analytics 255

The Netflix TechBlog

JUNE 20, 2024

In this talk, Jason Reid discusses the pros and cons of both data warehouse bundling and unbundling in terms of performance, governance, and flexibility, and he examines how the trend of data warehouse unbundling will impact the data engineering landscape in the next 5 years.

Data Engineering 203

Data Engineering Engineering Entertainment Software Engineering 203

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. There are a variety of strategies both for weighting and for pruning edges. ACM Computing Surveys, Dec. 2020, Article No.

Big Data 83

Big Data Open Source Processing Analytics 83

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. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

APRIL 11, 2023

Log4Shell highlights the need for secure digital transformation with observability, vulnerability management – blog The Log4Shell vulnerability highlighted the importance of developing a secure digital transformation strategy.

Cloud 246

Cloud DevOps Open Source Retail 246

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 212

Analytics C++ Innovation Engineering 212

Scalegrid

FEBRUARY 8, 2024

Distributed storage systems like HDFS distribute data across multiple servers or nodes, potentially spanning multiple data centers, focusing on partitioning, scalability, and high availability for structured and unstructured data. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

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. All three sampling strategies are heavily used at Microsoft.

Big Data 57

Big Data Analytics Latency Azure 57

All Things Distributed

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. Enter Amazon QuickSight.

Cloud 113

Cloud Big Data AWS Analytics 113

The Netflix TechBlog

NOVEMBER 20, 2023

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. Backfill: Backfilling datasets is a common operation in big data processing.

Processing 214

Processing Big Data Efficiency Engineering 214

Scalegrid

FEBRUARY 11, 2025

Unlike relational databases, NoSQL databases do not require a fixed schema, allowing for more flexible data models. This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications.

Scalability 147

Scalability Database Storage IoT 147

DZone

JUNE 4, 2019

Financial Analytics – Financial services and financial technology (FinTech) are increasingly turning to automation and artificial intelligence to fuel their decision making processes for investments.

Storage 100

Storage Artificial Intelligence FinTech Performance 100

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 83

AWS Retail Innovation Strategy 83

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Elevate your cloud strategy today with ScaleGrid! <p>The Synchronization of personal information. </p>

Cache 130

Cache Storage Architecture Scalability 130

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. Thomas, 2006. Fano, 2002.

Retail 152

Retail C++ Analytics Metrics 152

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 65

AWS Database Storage Scalability 65

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 6 - ASIS2011 - the Symposium on Cloud, ASP and Saas organized by Nikkei.

AWS 62

AWS Storage Cloud Big Data 62

Testsigma

SEPTEMBER 8, 2021

If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. Dynamic locator strategy : Cloud automation testing in Testsigma comes with a dynamic locator strategy that helps in creating stable and reliable test cases. Signup now. AppPerfect.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

JULY 11, 2011

By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled. Driving down the cost of Big-Data analytics. Now Spot Instance prices will be based on the supply and demand for a specific Availability Zone. Spot Instances - Increased Control.

AWS 70

AWS Storage Cloud Big Data 70

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

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

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Also, trade with data contributes more to global growth than trade with goods. Therefore, IT has never been more important for strategy than it is now – not only for us, but for every company in the digital age.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

Smashing Magazine

JULY 29, 2019

Notice the async keyword on the Google analytics script? Google analytics has ‘low’ priority. In Amazon’s case, there is room to make some big data savings on the desktop site and we shouldn’t get complacent just because the screen size suggests I’m not on a mobile device. Now back to the DOM. Large preview ).

Cache 99

Cache Mobile Google Network 99

All Things Distributed

AUGUST 16, 2011

The US Federal Cloud Computing Strategy lays out a â??Cloud strategy which compels US federal agencies to consider Cloud Computing first as the target for their IT operations: To harness the benefits of cloud computing, we have instituted a Cloud First policy. Government and Big Data. Cloud First. Cloud Firstâ??

AWS 89

AWS Government Big Data Cloud 89

Adrian Cockcroft

NOVEMBER 18, 2024

SUS205 | Integrating generative AI effectively into sustainability strategies Generative AI can materially support sustainability programs by simplifying the process of analyzing environmental data to simulating new designs to evaluating product lifecycles in a fraction of the time. Discover how Scepter, Inc.

AWS 98

AWS Energy Lambda Government 98

VoltDB

OCTOBER 17, 2024

Artificial Intelligence (AI) and Machine Learning (ML) AI and ML algorithms analyze real-time data to identify patterns, predict outcomes, and recommend actions. 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