Tag Archives: Pay TV

Съд на ЕС: медийни концентрации

Post Syndicated from nellyo original https://nellyo.wordpress.com/2017/11/05/kpn19560/

Стана известно решение  на Общия съд по дело T‑394/15 KPN BV  (Netherlands),  v European Commission

 

Жалбоподателят KPN BV е активен в сектора на кабелните мрежи за телевизионни, широколентови интернет, фиксирани телефонни услуги и мобилни телекомуникационни услуги, по-специално в Нидерландия.

Liberty Global plc е международен кабелен оператор, който притежава и експлоатира кабелни мрежи, предлагащи телевизия, широколентов интернет, фиксирана телефония и мобилни телекомуникационни услуги в единадесет държави-членки на Европейския съюз и Швейцария. Г-н Джон Малоун, американски гражданин, притежава най-голямото миноритарно участие в Liberty Global.

Ziggo NV притежава и управлява широколентова кабелна мрежа, която обхваща повече от половината от територията на Нидерландия. Това предприятие предоставя цифрови и аналогови кабелни видео, широколентов интернет, мобилни телекомуникации и услуги за цифрова телефония (Voice over Internet Protocol). Ziggo притежава 50% от HBO Nederland.

На 10 октомври 2014 г. Комисията приема Решение C (2014) 7241, с което обявява концентрацията, включваща придобиването от Liberty Global на изключителен контрол над Ziggo, за съвместима с вътрешния пазар и със Споразумението за ЕИП (Дело COMP / M.7000 – Liberty Global / Ziggo) (ОВ 2015, C 145, стр. 7) .

KPN обжалва решението  на три правни основания –  явна грешка в преценката относно евентуалните вертикални последици на концентрацията на пазара на pay tv,  нарушение на задължението за анализ на евентуалните вертикални антиконкурентни ефекти на пазара на спортни телевизионни канали  и   явна грешка в преценката относно упражняването на решаващо влияние върху г-н Malone върху Liberty Global.

Съдът анализира второто основание – липсата на мотиви – и потвърждава, че обжалваното решение не съдържа достатъчен  анализ относно вертикалните ефекти, които биха произтекли от предложената концентрация.

В резултат отменя решението на ЕК.

Filed under: EU Law, Media Law Tagged: съд на ес

Amazon Redshift Dense Compute (DC2) Nodes Deliver Twice the Performance as DC1 at the Same Price

Post Syndicated from Quaseer Mujawar original https://aws.amazon.com/blogs/big-data/amazon-redshift-dense-compute-dc2-nodes-deliver-twice-the-performance-as-dc1-at-the-same-price/

Amazon Redshift makes analyzing exabyte-scale data fast, simple, and cost-effective. It delivers advanced data warehousing capabilities, including parallel execution, compressed columnar storage, and end-to-end encryption as a fully managed service, for less than $1,000/TB/year. With Amazon Redshift Spectrum, you can run SQL queries directly against exabytes of unstructured data in Amazon S3 for $5/TB scanned.

Today, we are making our Dense Compute (DC) family faster and more cost-effective with new second-generation Dense Compute (DC2) nodes at the same price as our previous generation DC1. DC2 is designed for demanding data warehousing workloads that require low latency and high throughput. DC2 features powerful Intel E5-2686 v4 (Broadwell) CPUs, fast DDR4 memory, and NVMe-based solid state disks.

We’ve tuned Amazon Redshift to take advantage of the better CPU, network, and disk on DC2 nodes, providing up to twice the performance of DC1 at the same price. Our DC2.8xlarge instances now provide twice the memory per slice of data and an optimized storage layout with 30 percent better storage utilization.

Customer successes

Several flagship customers, ranging from fast growing startups to large Fortune 100 companies, previewed the new DC2 node type. In their tests, DC2 provided up to twice the performance as DC1. Our preview customers saw faster ETL (extract, transform, and load) jobs, higher query throughput, better concurrency, faster reports, and shorter data-to-insights—all at the same cost as DC1. DC2.8xlarge customers also noted that their databases used up to 30 percent less disk space due to our optimized storage format, reducing their costs.

4Cite Marketing, one of America’s fastest growing private companies, uses Amazon Redshift to analyze customer data and determine personalized product recommendations for retailers. “Amazon Redshift’s new DC2 node is giving us a 100 percent performance increase, allowing us to provide faster insights for our retailers, more cost-effectively, to drive incremental revenue,” said Jim Finnerty, 4Cite’s senior vice president of product.

BrandVerity, a Seattle-based brand protection and compliance‎ company, provides solutions to monitor, detect, and mitigate online brand, trademark, and compliance abuse. “We saw a 70 percent performance boost with the DC2 nodes for running Redshift Spectrum queries. As a result, we can analyze far more data for our customers and deliver results much faster,” said Hyung-Joon Kim, principal software engineer at BrandVerity.

“Amazon Redshift is at the core of our operations and our marketing automation tools,” said Jarno Kartela, head of analytics and chief data scientist at DNA Plc, one of the leading Finnish telecommunications groups and Finland’s largest cable operator and pay TV provider. “We saw a 52 percent performance gain in moving to Amazon Redshift’s DC2 nodes. We can now run queries in half the time, allowing us to provide more analytics power and reduce time-to-insight for our analytics and marketing automation users.”

You can read about their experiences on our Customer Success page.

Get started

You can try the new node type using our getting started guide. Just choose dc2.large or dc2.8xlarge in the Amazon Redshift console:

If you have a DC1.large Amazon Redshift cluster, you can restore to a new DC2.large cluster using an existing snapshot. To migrate from DS2.xlarge, DS2.8xlarge, or DC1.8xlarge Amazon Redshift clusters, you can use the resize operation to move data to your new DC2 cluster. For more information, see Clusters and Nodes in Amazon Redshift.

To get the latest Amazon Redshift feature announcements, check out our What’s New page, and subscribe to the RSS feed.