2018 Analytics Big Data 
All Things Distributed
DECEMBER 13, 2016
With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.
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. Like other front-end web development blogs, it discusses functional CSS, JavaScript and HTML5, but it also includes features on using Google Analytics, React and similar frameworks. Visit website 12.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Abhishek Tiwari
DECEMBER 27, 2017
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. Common in-memory data interfaces. Based on data access pattern i.e. hot, warm and cold Alluxio makes.
Smashing Magazine
JULY 29, 2019
People often buy data packages of just tens of megabytes at a time, making a gigabyte a relatively large and therefore expensive amount of data to buy. The Cost Of Mobile Data. The Cost Of Broadband Data. Notice the async keyword on the Google analytics script? Google analytics has ‘low’ priority.
SQL Server According to Bob
FEBRUARY 15, 2018
Well, for SQLBits 2018, it is not just me. Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Cosmos DB has generated a huge interest.
All Things Distributed
MAY 21, 2018
We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. At the end of 2018, voice (input) will have already significantly changed the way we develop devices and apps.
Testsigma
FEBRUARY 12, 2021
Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring. Gartner stated that Artificial Intelligence computing resources are to expand by 5 times between 2018 and 2023.
Expert insights. Personalized for you.
155 
Let's personalize your content