Snowflake Workload Optimization
DZone
AUGUST 23, 2023
In the era of big data, efficient data management and query performance are critical for organizations that want to get the best operational performance from their data investments.
What is software automation? Optimize the software lifecycle with intelligent automation
Dynatrace
JUNE 26, 2023
Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics?
Software 
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis
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. Moreover, its petabyte scale also brings unique engineering challenges.
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Top 15 Software Testing Trends to Watch Out in 2021
DZone
DECEMBER 28, 2020
The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.
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AIOps observability adoption ascends in healthcare
Dynatrace
MARCH 14, 2022
Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.
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What is IT automation?
Dynatrace
JULY 6, 2022
This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.
RSA Guide 2023: Cloud application security remains core challenge for organizations
Dynatrace
APRIL 11, 2023
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. According to a recent survey, even among organizations that have shifted left, 75% of C-suite executives say security challenges limit their ability to innovate.
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What is container orchestration?
Dynatrace
MARCH 24, 2023
Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.
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Data Engineers of Netflix?—?Interview with Samuel Setegne
The Netflix TechBlog
JUNE 1, 2021
clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing.
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How Our Paths Brought Us to Data and Netflix
The Netflix TechBlog
SEPTEMBER 18, 2020
I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet. How do your projects impact the business at Netflix?
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix
The Netflix TechBlog
MARCH 2, 2021
Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. In this post, we discuss a day in the life of experimentation and causal inference data scientists at Netflix, interviewing some of our stunning colleagues along the way.
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Allez, rendez-vous à Paris – An AWS Region is coming to France!
All Things Distributed
SEPTEMBER 29, 2016
To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure. Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud.
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region
All Things Distributed
JUNE 26, 2016
Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Let’s build groundbreaking innovations together.
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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region
All Things Distributed
DECEMBER 8, 2016
Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. in the coming year. The Canadian opportunity. Rapid time to market. AWS as your strategic cloud provider.
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Expanding the Cloud – An AWS Region is coming to Hong Kong
All Things Distributed
JUNE 20, 2017
These companies include Cathay Pacific, CLSA, HSBC, Gibson Innovations, Kerry Logistics, Ocean Park, Next Digital, and TownGas. I'm excited to see the new and innovative use cases coming from our customers in Hong Kong and across Asia Pacific, all enabled by AWS.
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics
Dynatrace
FEBRUARY 16, 2023
As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.
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Expanding the Cloud: Introducing the AWS Asia Pacific (Seoul) Region
All Things Distributed
JANUARY 6, 2016
We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more.
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110 AWS Pop-up Loft 2.0: Returning to San Francisco on October 1st
All Things Distributed
SEPTEMBER 26, 2014
Or you can plugin, hang out, get some work done, and stick around for evening presentations by innovative startups and community experts. Topics include Introduction to AWS, Big Data, Compute & Networking, Architecture, Mobile & Gaming, Databases, Operations, Security, and more. Take a look at the AWS Loft homepage.
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DynamoDB for Location Data: Geospatial querying on DynamoDB datasets
All Things Distributed
SEPTEMBER 5, 2013
Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.
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Dutch Enterprises and The Cloud
All Things Distributed
SEPTEMBER 6, 2013
Shell leverages AWS for big data analytics to help achieve these goals. By offloading the task of managing infrastructure to AWS Essent is able to spend more time on innovating on behalf of their customers to help them in their energy usage.
Cloud 130
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How social forces could drive blockchain demand
O'Reilly
OCTOBER 21, 2019
He designed this new platform to be permission-less and free, an open space for creativity, innovation, and free expression that transcended geographic and cultural boundaries. As the space evolves, innovators are likely to eventually identify viable alternatives that embody this paradigm.
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Driving Bandwidth Cost Down for AWS Customers. - All Things.
All Things Distributed
JUNE 29, 2011
Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Driving down the cost of Big-Data analytics. Driving Bandwidth Cost Down for AWS Customers. By Werner Vogels on 29 June 2011 09:55 AM.
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Web Performance Bookshelf
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.
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Rethinking the 'production' of data
All Things Distributed
DECEMBER 20, 2017
Marketers use big data and artificial intelligence to find out more about the future needs of their customers. If data take center stage then companies must learn how to create added value out of it – namely by combining the data they own with external data sources and by using modern, automated analytics processes.
Using Real-Time Digital Twins for Aggregate Analytics
ScaleOut Software
JUNE 15, 2020
Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
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Using Real-Time Digital Twins for Aggregate Analytics
ScaleOut Software
JUNE 15, 2020
Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
Analytics 52
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What is a Distributed Storage System
Scalegrid
FEBRUARY 8, 2024
Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. These distributed storage services also play a pivotal role in big data and analytics operations.
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Mastering Hybrid Cloud Strategy
Scalegrid
MARCH 14, 2024
This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.
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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins
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. What are real-time digital twins and why are they useful here? Which hospitals in a state currently have more than a 25% shortfall (or excess) in ventilators?”.
Logistics 52
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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins
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. What are real-time digital twins and why are they useful here? Which hospitals in a state currently have more than a 25% shortfall (or excess) in ventilators?”.
Logistics 52
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Path to NoOps part 1: How modern AIOps brings NoOps within reach
Dynatrace
OCTOBER 25, 2022
The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.
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Use Digital Twins for the Next Generation in Telematics
ScaleOut Software
NOVEMBER 24, 2020
Competitive pressures should spark innovation in this area, and real-time digital twins can help. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. However, telematics architectures face challenges in responding to telemetry in real time.
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52 I am looking for new application and platform services - All Things.
All Things Distributed
APRIL 23, 2010
It will drive rapid innovation and well see a wealth of mobile, web and desktop applications arrive that we couldnt dream about a few years ago, and these building blocks are the enablers of that. Driving down the cost of Big-Data analytics. By Werner Vogels on 22 April 2010 05:17 PM. Comments ().
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DynatraceGo! APAC 2021: Lessons in thick data and keeping pace with the market
Dynatrace
AUGUST 10, 2021
Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.
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Seven benefits of AIOps to transform your business operations
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. Increased business innovation. But first, let’s start with a better understanding of what AIOps is, how it works, and its value to organizations.
Applying real-world AIOps use cases to your operations
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.
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What is AIOps? Everything you wanted to know
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.” But what is AIOps, exactly? And how can it support your organization? What is AIOps?
Where programming languages are headed in 2020
O'Reilly
JANUARY 13, 2020
Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. ” What lies ahead?
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Microsoft Engineering loves SQLBits
SQL Server According to Bob
FEBRUARY 15, 2018
Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. If anything just come to see me explain the architecture which is an amazing innovative piece of software. SELECT * FROM Azure Cosmos DB – Andrew Liu.
Engineering 40
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What is cloud monitoring? How to improve your full-stack visibility
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. What is cloud monitoring? ” The post What is cloud monitoring?
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229 Utilities, Strategic Investments, and the CIO
The Agile Manager
FEBRUARY 27, 2012
Each is a new take on an old theme, echoing one part of the contradiction that has riddled every business with a captive technology department: we want to minimize how much we spend on IT, and we want IT to be a source of innovation. In one camp are those arguing that IT has become largely irrelevant.
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45 AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud - All.
All Things Distributed
JANUARY 19, 2011
A whole range of innovative new services, ranging from media conversion to geo-location-context services have been developed by our customers using this flexibility and are available in the AWS ecosystem. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region
All Things Distributed
DECEMBER 13, 2016
UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example. Fraud.net is a good example of this.
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