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

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

DZone

DECEMBER 21, 2020

Setting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

Big Data 189

Big Data Google Scalability Processing 189

Dynatrace

AUGUST 14, 2023

In doing so, organizations are maximizing the strategic value of their customer data and gaining a competitive advantage. How behavior analytics works User behavior analytics works by first collecting, then analyzing user behavior data. An organization may collect this data the following ways.

Analytics 233

Analytics Social Media Website IoT 233

Dynatrace

MARCH 24, 2023

Generally, container orchestration tools communicate with a user-created YAML or JSON file — formats that enable data exchange between applications and languages — that describes the configuration of the application or service. Originally created by Google, Kubernetes was donated to the CNCF as an open source project.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 347

Open Source Java Operating System Programming 347

Dynatrace

JUNE 29, 2022

Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

Dynatrace

APRIL 21, 2021

The Business Insights team at Dynatrace has been working with our largest Digital Experience Monitoring customers to help them turn the Core Web Vitals data they’re collecting with Dynatrace into actionable insights they can use to optimize pages ahead of this June 2021 change in Google’s search ranking algorithm. 28-day lookbacks.

Traffic 264

Traffic Metrics Mobile Analytics 264

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. If you want to store time-expiring data that should be shared across application processes, used Memcached or Redis.

Cache 79

Cache Latency Google Lambda 79

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? Google announced in May 2019 that Kotlin is now its preferred language for Android app developers , boosting the language’s already strong adoption.

Programming 128

Programming Java Google C++ 128

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

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Lena Olson is a Software Engineer at Google. . Disclaimer: Newsha is a Research Scientist at Baidu and Lena is a Software Engineer at Google. For those of us who pursued computer architecture as a career, this is well understood.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). for machine generated emails sent to humans).

Blockchain 46

Blockchain Hardware Google Analytics 46

Smashing Magazine

JULY 29, 2019

Many of us are lucky enough to be on mobile plans which allow several gigabytes of data transfer per month. Failing that, we are usually able to connect to home or public WiFi networks that are on fast broadband connections and have effectively unlimited data. The Cost Of Mobile Data. Data is expensive in parts of Europe too.

Cache 96

Cache Google Mobile Network 96

Rigor

SEPTEMBER 11, 2019

Jake is a developer advocate at Google working with the Chrome team to develop and promote web standards and developer tools, as well as a contributor to the Chromium blog. Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others.

Performance 89

Performance Education Google Website 89

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. It's packed with useful, real world hints and tips that you can use on your sites today. Building Progressive Apps.

Performance 75

Performance Social Media Website Website Performance 75

Testsigma

FEBRUARY 12, 2021

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. million Google Play Store applications, followed by 1.96 Hyper-automation is not new — several companies in 2020 have become hyper-automated. The most recent 2021 trend.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

FEBRUARY 23, 2011

The choice for the search box from Bing was driven by that it was very easy to setup and it was free, where Google Site Search asked for $100/year. Driving down the cost of Big-Data analytics. It imported the commented from my Moveable Type server without a hitch. Introducing the AWS South America (Sao Paulo) Region.

AWS 78

AWS Storage Big Data Servers 78

Smashing Magazine

AUGUST 9, 2021

But there’s that inner personal actual relationship required in the terms of safety that I’m talking about, as opposed to, yeah, someone anonymous on the internet or some anonymous entity trying to get your data, things like that. You have to go into it to see that you’re sharing it with someone. There’s no alert. Similar with Find My.

Design 98

Design Education Network Google 98

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. It includes tutorials, links to data-visualization tools, design resources and articles that cite real-world business experiments. Visit website 12. Visit website 33. Visit website 46.

Development 75

Development Website Design Code 75

Highly Scalable

JANUARY 31, 2012

Applications: Log Analysis, Data Querying. Applications: Log Analysis, Data Querying, ETL, Data Validation. Solution: Problem description is split in a set of specifications and specifications are stored as input data for Mappers. Applications: ETL, Data Analysis. Distributed Task Execution.

C++ 144

C++ Network Ecommerce Processing 144

Percona

JANUARY 14, 2019

In my case, I’m using this data as a simulation of text messages, and will show how we can use ClickHouse as a backend for an API. Loading the JSON data to Clickhouse. Updating / deleting data in ClickHouse. Vadim published a blog post about analyzing reddit comments with ClickHouse. toDate(min(created_utc))???toDate(max(created_utc))??????count()??

Database 40

Database Analytics Blockchain Healthcare 40

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. Apple is now in the greeting card business, Google in travel. Fashion magazines are launching electronic retail sites.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45