Author : All posts by ilikesql

19

Dec

Reference Architecture and automation for Financial Services web applications

Today we are pleased to announce the release of a new Azure Financial Services Regulated Workloads Blueprint.

The Azure Security and Compliance Blueprint Program provides automated solutions and guidance for rapid deployment of Azure services that meet specific regulatory requirements from weeks to a few hours. The new Financial Services Regulated Workloads Blueprint gives you an automated solution that will help guide you in storing and managing sensitive financial information such as payment data in Azure. The Financial Services Blueprint is designed to help customers meet compliance requirements outlined in the American Institute of Certified Public Accountants (AICPA) SOC 1 and SOC 2 standards, the Payment Card Industry Data Security Standard (PCI DSS) version 3.2, as well as the Federal Financial Institutions Examination Council (FFIEC), and Gramm-Leach-Bliley Act (GLBA).

Using the Financial Services Blueprint, you can deploy and securely configure an Azure SQL Database, a web application protected by security services such as Azure App Service Environment (ASE), the Web Application Firewall (WAF), and Azure Security Center (ASC). Automated templates and reference architectures are provided to help you implement the technical controls required to achieve a trusted and more secure end to end compliant deployment.

The Financial Services

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19

Dec

XBox – Analytics on petabytes of gaming data with Azure HDInsight

This blog post was co-authored by Karan Gulati, Senior Software Engineer, XBOX and Daniel Hagen, Senior Software Engineer, XBOX.

Microsoft Studios produces some of the world’s most popular game titles including the Halo, Minecraft, and Forza Motorsport series. The Xbox product services team manage thousands of datasets and hundreds of active pipelines consuming hundreds of gigabytes of data each hour for first party studios. Game developers need to know the health of their game through measuring acquisition, retention, player progression, and general usage over time. This presents a textbook big data problem where data needs to be cleaned, formatted, aggregated and reported on, better known as ETL (Extract Transform Load).

HDInsight – Fully managed, full spectrum open source analytics service for enterprises

Azure HDInsight is a fully-managed cloud service for customers to do analytics at a massive scale using the most popular open-source frameworks such as Hadoop, MapReduce, Hive, LLAP, Presto, Spark, Kafka, and R. HDInsight enables a broad range of customer scenarios such as batch & ETL, data warehousing, machine learning, IoT and streaming over massive volumes of data at a high scale using Open Source Frameworks.

Key HDInsight benefits

Cloud native: The only service in the

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19

Dec

Azure #CosmosDB: Entry point for unlimited containers is now 60% cheaper and other improvements

Azure Cosmos DB is Microsoft’s globally distributed, horizontally partitioned, multi-model database service. The service is designed to allow customers to elastically and independently scale throughput and storage across any number of geographical regions. Azure Cosmos DB offers guaranteed low latency at the 99th percentile, 99.999% high availability, predictable throughput, and multiple well-defined consistency models. Azure Cosmos DB is the first and only globally distributed database service in the industry today to offer comprehensive Service Level Agreements (SLAs) encompassing all four dimensions of global distributions which our customers care the most: throughput, latency at the 99th percentile, availability, and consistency. As a cloud service, we have carefully designed and engineered Azure Cosmos DB with multi-tenancy, horizontal scalability and global distribution in mind.

We have just rolled out a few long-awaited changes and we wanted to share them with you:

Entry point for unlimited collections/containers is now 60% cheaper. In February, we’ve lowered entry point for unlimited containers making them 75% cheaper. We continue making improvements in our service and today we are pleased to announce that unlimited containers have now an entry point that is 60% cheaper than before. Instead of provisioning 2,500 RU/sec as a minimum, you can now

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18

Dec

VMware virtualization on Azure
VMware virtualization on Azure

We have had tons of interest in our VMware virtualization on Azure offering. This includes questions about what we are offering and how we will provide an enterprise grade solution. Here are some of the details on the preview.

To enable this solution, we are working with multiple VMware Cloud Provider Program partners and running on existing VMware-certified hardware. For example, our preview hardware will use a flexpod bare metal configuration with NetApp storage. This hosted solution is similar to Azure’s bare metal SAP HANA Large Instances solution that we launched last year. With this approach, we will enable you to use the same industry-leading VMware software and services that you currently use in your on-premises datacenters, but running on Azure infrastructure, allowing L3 network connectivity for existing applications to Azure-native services like Azure Active Directory, Azure Cosmos DB, and Azure Functions.

We are facilitating discussions with VMware and the VCPP partners to ensure you have a great solution and a great support experience when we make this offering generally available next year. More details from VMware on this can be found here. We will share more information on GA plans and partners in the coming months. If you’d like

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18

Dec

Announcing the Reddit Solution Template
Announcing the Reddit Solution Template

https://powerbi.microsoft.com/en-us/blog/announcing-the-reddit-solution-template/Source: https://powerbi.microsoft.com/en-us/blog/announcing-the-reddit-solution-template/           Today, we are excited to announce a new suite of Power BI solution templates for brand management and targeting on Reddit through a third-party API relationship with SocialGist. These templates complement existing brand-oriented READ MORE

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18

Dec

Last week in Azure: Azure France regions, cost savings, and more

Two new Azure regions are now in preview in France: France Central in Paris, and France South in Marseille. These regions are part of Azure’s global portfolio of announced regions in 42 locations around the world. Availability Zones in France Central can be paired with the geographically separated France South region for regional disaster recovery while maintaining data residency requirements. This past week also saw new capabilities added to help manage cost on Azure. With Azure Cost Management, Azure is the only platform that offers an end-to-end cloud cost management and optimization solution to help customers make the most of cloud investment across multiple clouds. Cost Management is free to all customers to manage their Azure spend.

Headlines

Microsoft Azure preview with Azure Availability Zones now open in France – The preview of Microsoft Azure in France is open today to all customers, partners and ISVs worldwide giving them the opportunity to deploy services and test workloads in these latest Azure regions. This is an important step towards offering the Azure cloud platform from our datacenters in France.

Cloud storage now more affordable: Announcing general availability of Azure Archive Storage – Learn how to reduce your storage costs by storing

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18

Dec

GDPR How-to: Get organized and implement the right processes
GDPR How-to: Get organized and implement the right processes

Achieving compliance with the General Data Protection Regulation (GDPR), the new data privacy law from the European Union (EU), is not a one-time activity but is an ongoing process. When the GDPR goes into effect on May 25, 2018, individuals will have greater control over their personal data. Additionally, the GDPR imposes new obligations on organizations that collect, handle, or analyze personal data. Implementing the right processes and organizational changes to comply with the GDPR will not be an easy task, but Microsoft is here to help. With 10 chapters, 99 articles, and 160 requirements the GDPR is a complex law, and implementing all this will be a challenge, so Microsoft has created a highly detailed guide.

Our colleagues from Microsoft France recently published a detailed implementation guide, GDPR – Get organized and implement the right processes, available in both English and French. The guide provides customers with a methodology for creating and executing a GDPR compliance program in their organization. It describes the necessary steps for achieving GDPR compliance through a plan, do, check, act (PDCA) approach using Microsoft Cloud services such as Azure, as shown in the diagram below.

Figure 1: Consolidated view of the main GDPR

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18

Dec

Enterprise Security Package preview for Azure HDInsight
Enterprise Security Package preview for Azure HDInsight

Azure HDInsight is a fully-managed cloud service that makes it easy, fast, and cost-effective to process massive amounts of data. Use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R & more. Azure HDInsight enables a broad range of scenarios such as ETL, Data Warehousing, Machine Learning, and IoT.

By default, when you provision a HDInsight cluster, you are required to create a local admin user and local SSH user that has full access to the cluster. The local admin user can access all the files, folders, tables, columns, etc. With a single local user, there is no need for role-based access control. However, as enterprise customers move to the cloud, they must enable strict security requirements in terms of authentication, authorization, auditing, and governance. This is especially important with larger or multiple teams that share the same cluster. Admins don’t want to create individual clusters for individual users. When we talked to customers, we received three main requests as part of enabling cluster access to multiple users:

As a data scientist, I want to use my Active Directory domain credentials to run queries on the cluster. As a cluster admin, I want to configure

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18

Dec

Azure HDInsight announcements: Significant price reduction and amazing new capabilities

Today, we are really happy to announce that we are reducing the prices for Azure HDInsight service and making several awesome capabilities generally available.

Launched in 2013, Azure HDInsight is a fully-managed, full spectrum, open-source analytics cloud service by Microsoft that makes it easy, fast, and cost-effective to process massive amounts of data. You can use the most popular open-source engines such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, HBase, R and install more open source frameworks from the OSS ecosystem.

Amazing value for our customers

Customers ranging from startups to enterprises are using Azure HDInsight for their mission-critical applications. The service enables a broad range of scenarios in manufacturing, retail education, nonprofit, government, healthcare, media, banking, telecommunication, insurance and many more industries ranging in use cases from ETL to Data Warehousing, from Machine Learning to IoT and many more. Many Fortune 500 customers are running their big data pipelines on Azure HDInsight:

AccuWeather is using this technology to gain real-time intelligence into weather and business patterns. Handling 17 billion requests for data each day, AccuWeather is helping 1.5 billion people safeguard and improve their lives and businesses.

Cornell Lab of Ornithology improved Machine Learning Workflow with Azure

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18

Dec

Announcing Apache Kafka for Azure HDInsight general availability

Apache Kafka on the Azure HDInsight was added last year as a preview service to help enterprises create real-time big data pipelines. Since then, large companies such as Toyota, Adobe, Bing Ads, and GE have been using this service in production to process over a million events per sec to power scenarios for connected cars, fraud detection, clickstream analysis, and log analytics. HDInsight has worked very closely with these customers to understand the challenges of running a robust, real-time production pipeline at an enterprise scale. Using our learnings, we have implemented key features in the managed Kafka service on HDInsight, which is now generally available.

A fully managed Kafka service for the enterprise use case

Running big data streaming pipelines is hard. Doing so with open source technologies for the enterprise is even harder. Apache Kafka, a key open source technology, has emerged as the de-facto technology for ingesting large streaming events in a scalable, low-latency, and low-cost fashion. Enterprises want to leverage this technology, however, there are many challenges with installing, managing, and maintaining a streaming pipeline. Open source bits lack support and in-house talent needs to be well versed with these technologies to ensure the highest levels of

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