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. Create a cloud observability strategy with automatic and intelligent AIOps. What is AIOps, and how does it work?

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

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

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

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

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. As AI becomes increasingly important to care delivery, the healthcare sector is pursuing a national strategy for AI. Gartner introduced the concept of AIOps in 2016.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

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 184

Big Data Cache Engineering Data Engineering 184

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations. This approach has a handful of benefits.

Traffic 343

Traffic Latency Tuning Systems 343

The Netflix TechBlog

JULY 26, 2021

However, it is paramount that we validate the complete set of identifiers such as a list of movie ids across producers and consumers for higher overall confidence in the data transport layer of choice. This strategy has increased the Studio Tech Solutions team performance and stability. The audits check for equality (i.e.

Big Data 255

Big Data Government Processing Analytics 255

DZone

DECEMBER 27, 2023

In this kickoff post, we delve into the intricacies of Apache Airflow and AWS EMR, a managed cluster platform for big data processing. Working together, they form the backbone of many modern data engineering solutions.

Best Practices 140

Best Practices Data Engineering Big Data Games 140

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

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. Therefore, DevOps staff can innovate and create new solutions to human problems, rather than simply keeping the lights on.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

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

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

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

I started working at a local payment processing company after graduation, where I built survival models to calculate lifetime value and experimented with them on our brand new big data stack. I was doing data science without realizing it. What best prepared you for your current role at Netflix?

Analytics 212

Analytics C++ Innovation Engineering 212

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

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. We believe this is one of the critical parts of our big data offerings.

Cloud 113

Cloud Big Data AWS Analytics 113

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. For the longest time, Netflix had three plans (basic/standard/premium) with a single 30-day free trial offer at signup. For example, the mobile plan launch in India and Southeast Asia was a huge success.

Mobile 214

Mobile Engineering Infrastructure Scalability 214

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

The Netflix TechBlog

DECEMBER 21, 2020

We use 2 different packing algorithms to achieve this: Knuth/Plass line breaking algorithm We use this strategy when the sort order among files is important. Minimum replacement Once we start processing a partition, we find the minimum amount of work needed to reduce the File Size Entropy and thus reduce the number of small files.

Storage 208

Storage Latency Efficiency Data Engineering 208

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

Scalegrid

JANUARY 10, 2025

They keep the features that developers like but can handle much more data, similar to NoSQL systems. Notably, they simplify handling big data flows, offer consistent transactions, and sustain high performance even when they’re used for real-time data analysis and complex queries.

Database 130

Database Scalability Best Practices Blockchain 130

Scalegrid

FEBRUARY 11, 2025

Due to the lack of a rigid schema, MongoDB is well-suited for applications that demand real-time analytics and handle big data, providing expedient processing capabilities. Employing a hybrid approach combining MySQL and MongoDB may yield an all-encompassing solution for handling data.

Scalability 147

Scalability Database Storage IoT 147

DZone

JUNE 4, 2019

Using a mix of historical data and financial modeling, one platform can provide the horsepower required for predicting future investment strategies for their financial customers.

Storage 100

Storage Artificial Intelligence FinTech Performance 100

O'Reilly

JANUARY 13, 2020

Will the incremental strategy of delivering pattern matching and algebraic data types ( Project Amber ) pay off? Big releases may be on the horizon in 2020 for certain languages—C++20 will be released this summer and Scala 3.0 Will Quarkus bear out its promise and the faith of its early fans? ” What lies ahead?

Programming 140

Programming Java Google C++ 140

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” Isn’t it nice to uncover that in a simulated environment, where we can map out our risk mitigation strategies with calm, level heads?

Hardware 116

Hardware Storage Big Data Blockchain 116

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 62

AWS Storage Cloud Big Data 62

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

Testsigma

MAY 14, 2021

Is there a possibility that moving testing to the cloud may lead to a change in the test strategy or foundation of testing? Process: Chalking out the strategy to make a move to cloud-based testing. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Do we need to learn new skills?

Cloud 67

Cloud Testing Testing Tools Internet 67

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. No Server Required - Jekyll & Amazon S3.

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

Highly Scalable

MARCH 10, 2015

In this article we are trying to take a more rigorous approach and provide a systematic view of econometric models and objective functions that can leverage data analysis to make more automated decisions. SM11] Pricing Strategy: Setting Price Levels, Managing Price Discounts and Establishing Price Structures, T. Guo, M.Fraser, 2009.

Retail 152

Retail C++ Analytics Metrics 152

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

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

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. There is a strong argument for ELT i.e. extract, load, and transform model. Classic ETL. Late transformation. Challenges.

Big Data 40

Big Data Retail Storage Google 40

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

The Agile Manager

FEBRUARY 27, 2012

The rise of Big Data - the ability to store and analyze large volumes of structured and unstructured, internal and external data - promises to let companies react more nimbly than ever before. In the other camp are those arguing that IT remains a source of value, just as it has always been.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45