We recently announced Amazon FinSpace , a fully-managed data management and analytics service that makes it easy to store, catalog, and prepare financial industry data at scale, reducing the time it takes for financial services industry (FSI) customers to find and access all types of financial data for analysis from months to minutes
Data centers may be in the midst of a flash revolution, but managing hard disk drives (HDDs) is still paramount. According to IDC, stored data will increase 17.8% by 2024 with HDD as the main storage technology. At Google Cloud, we know first-hand how critical it is to manage HDDs in operations and preemptively identify potential failures.
Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL. Amazon Redshift offers up to three times better price performance than any other cloud data warehouse.
Managing data is the core of the Financial Services Industry (FSI). I worked for private banking and fund management companies and helped analysts to collect, aggregate, and analyze hundreds of petabytes of data from internal data sources, such as portfolio management, order management, and accounting systems, but also from external data sources, such as real-time market feeds and historical equities pricing and alternative data systems.
With Amazon CloudFront , you can securely deliver data, videos, applications, and APIs to your customers globally with low latency and high transfer speeds. To offer a customized experience and the lowest possible latency, many modern applications execute some form of logic at the edge.
At Kentucky Fried Chicken (KFC) , our platform has constantly evolved over the past four years. Since the shift to bring all development in house, we’ve been making great progress. During this time, KFC has grown dramatically within the digital space.
In manufacturing enterprises, digital transformation and Industry 4.0 are likely at the top of your mind. New technologies in the Industrial Internet of Things (IIoT) space are critical for monitoring your factory production environments for optimal performance and efficiency.
Delivering web-based software is no longer as simple as ssh’ing into a LAMP server and vi’ing a php file. For good reasons, many of us have evolved practices and adopted technologies to address growing complexities and modern needs.
Looking to scale up the state’s 8,300 square kilometre digital twin.
IoT is simple in theory: Use the vast connectivity of the internet to send data from the tiniest devices — such as switches and sensors — to the cloud, on-premises server farms or large-scale data platforms to model the world more accurately.
Transforma Insights recently published a report comparing the capabilities of the three hyperscale cloud providers, Amazon Web Services, Google and Microsoft, in the provision of tools for enterprise digital transformation.
In capital markets, the stakes have been raised for participants to establish value, win loyalty, and expand their share of wallet. An organization’s data analytics capabilities, combined with artificial intelligence and machine learning , can open new opportunities in these areas.
Streaming data into or out of a data system must be fast. One of the most expensive pieces of any streaming system is the I/O of the system: reading from the streaming layer using Apache Kafka or Amazon Kinesis, reading a file, writing to an Amazon Simple Storage Service (Amazon S3) data lake, or communicating with an external system.
This is a guest post by Zachary Whitford, Associate, Richa Prajapati, Vice President and Aldo Piddiu, Vice President in the Global Investment Research engineering team at Goldman Sachs. The Global Investment Research (GIR) division at Goldman Sachs delivers client-focused research in the equity, fixed income, currency, and commodities markets.
