https://azure.microsoft.com/blog/azure-sql-data-warehouse-is-now-azure-synapse-analytics/On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query READ MORE
Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health. Data lakes can uncover important signals on customers, products, employees, and processes. Both are critical, yet operate independently of one another, which can lead to uninformed decisions. At the same time, businesses need to unlock insights from all their data to stay competitive and fuel innovation with purpose. Can a single cloud analytics service bridge this gap and enable the agility that businesses demand?
Azure Synapse Analytics
Today, we are announcing Azure Synapse Analytics, a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.
Simply put, Azure Synapse is the next evolution of Azure SQL Data Warehouse. We have taken the same industry-leading data warehouse to a whole new level of performance and capabilities. In fact, it’s the first and only analytics system to have
A data-driven culture is critical for businesses to thrive in today’s environment. In fact, a brand-new Harvard Business Review Analytic Services survey found that companies who embrace a data-driven culture experience a 4x improvement in revenue performance and better customer satisfaction.
Foundational to this culture is the ability to deliver timely insights to everyone in your organization across all your data. At our core, that is exactly what we aim to deliver with Azure Analytics and Power BI, and our work is paying off in value for our customers. According to a recent commissioned Forrester Consulting Total Economic Impact™ study, Azure Analytics and Power BI deliver incredible value to customers with a 271 percent ROI, while increasing satisfaction by 60 percent.
Our position in the leaders quadrant in Gartner’s 2019 Magic Quadrant for Analytics & Power BI, coupled with our undisputed performance in analytics provides you with the foundation you need to implement a data-driven culture.
But what are three key attributes needed to establish a data-driven culture?
First, it is vital to get the best performance from your analytics solution across all your data, at the best possible price.
Second, it is critical that your data is accurate and
Azure Databricks is a fast, easy, and collaborative Apache Spark based analytics platform that simplifies the process of building big data and artificial intelligence (AI) solutions. Azure Databricks provides data engineers and data scientists an interactive workplace where they can use the languages and frameworks of their choice. Natively integrated with services like Azure Machine Learning and Azure SQL Data Warehouse, Azure Databricks enables customers to build an end-to-end modern data warehouse, real-time analytics, and machine learning solutions.
Save up to 37 percent on your Azure Databricks workloads
Azure Databricks Unit pre-purchase plan is now generally available—expanding our commitment to make Azure the most cost-effective cloud for running your analytics workloads.
Today, with the Azure Databricks Unit pre-purchase plan, you can start unlocking the benefits of Azure Databricks at significantly reduced costs when you pre-pay for Databricks compute for a one or three-year term. With this new pricing option, you can achieve savings of up to 37 percent compared to pay-as-you-go pricing. You can learn more about the discount tiers on our pricing page. All Azure Databricks SKUs—Premium and Standard SKUs for Data Engineering Light, Data Engineering, and Data Analytics—are eligible for DBU pre-purchase.
Compared with other Azure services with
Today, we are announcing the most comprehensive and compelling migration offer available in the industry to help customers simplify their cloud analytics journey.
This collaboration between Microsoft and Informatica provides customers an accelerated path for their digital transformation. As customers modernize their analytics systems, it enables them to truly begin integrating emerging technologies, such as AI and machine learning, into their business. Without migrating analytics workloads to the cloud, it becomes difficult for customers to maximize the potential their data holds.
For customers that have been tuning analytics appliances for years, such as Teradata and Netezza, it can seem overwhelming to start the journey towards the cloud. Customers have invested valuable time, skills, and personnel to achieve optimal performance from their analytics systems, which contain the most sensitive and valuable data for their business. We understand that the idea of migrating these systems to the cloud can seem risky and daunting. This is why we are partnering with Informatica to help customers begin their cloud analytics journey today with an industry-leading offer.
With this offering, customers can now work with Azure and Informatica to easily understand their current data estate, determine what data is connected to their current
As the amount of data stored and queried continues to rise, it becomes increasingly important to have the most price-performant data warehouse. While we’re excited about being the industry leader in both of Gigaom’s TPC-H and TPC-DS benchmark reports, we don’t plan to stop innovating on behalf of our customers.
As Rohan Kumar mentioned in his blog on Monday, we’re excited to introduce several new features that will continue to make Azure SQL Data Warehouse the unmatched industry leader in price-performance, flexibility, and security.
To enable customers to continue improving the performance of their applications without adding any additional cost, we’re announcing preview availability of result-set caching, materialized views, and ordered clustered columnstore indexes.
In addition to price-performance enhancements, we’ve added new capabilities that enable customers to be more agile and flexible. The first is workload importance, which is a new feature that enables users to decide how workloads with conflicting needs get prioritized. Second, our new support for automatic statistics maintenance (auto-update statistics) means that manageability and maintenance of Azure SQL Data Warehouse just got easier and more effective. And finally, we’re also adding support for managing and querying JSON data. Users can now load JSON data directly into
We’re excited to share more ways to optimize your Azure costs. Today we are releasing the general availability of Azure SQL Data Warehouse reserved capacity and software plans for RedHat Enterprise Linux and SUSE.
Save up to 65 percent on your Azure SQL Data Warehouse workloads
Starting today, you can purchase Reserved Capacity for Azure SQL Data Warehouse and get up to a 65 percent discount over pay-as-you-go rates. Select from 1-year or 3-year pre-commit options.
Reserved capacity is purchased in increments of 100 cDWU. Multiple warehouses in the same region can use a single pool of Reserved Capacity. The fully elastic properties of the service remain and operations beyond the reserved capacity will be billed using pay-as-you-go pricing. As always, storage is charged separately from compute and will continue to be charged separately when purchasing Reserved Capacity.
More flexibility with exchanges and refunds
We’ve made it easy to exchange your reserved capacity and make other changes, like region or term. You can also cancel the reserved capacity at any time and get a refund (terms apply).
Next steps Visit the pricing page to learn more about Azure SQL Data Warehouse pricing. Purchase SQL Data Warehouse reserved capacity in the
Today, we want to call attention to the exciting news that Azure SQL Data Warehouse has again outperformed other cloud providers in the most recent GigaOm benchmark report.
This is the result of relentless innovation and laser-focused execution on providing new features our customers need, all while reducing prices so customers get industry-leading performance at the best possible value. In just the past year, SQL Data Warehouse has released 130+ features focused on providing customers with enhanced speed, flexibility, and security. And today we are excited to announce three additional enhancements that continue to make SQL Data Warehouse the industry leader:
Unparalleled query performance Intelligent workload management Unmatched security and privacy
In this blog, we’ll take a closer look at the technical capabilities of these new features and, most importantly, how you can start using them today.
Unparalleled query performance
In our March 2019 release, a collection of newly available features improved workload performance by up to 22x compared to previous versions of Azure SQL Data Warehouse, which contributed to our leadership position in both the TPC-H and TPC-DS benchmark reports.
This didn’t just happen overnight. With decades of experience building industry-leading database systems, like SQL Server, Azure SQL Data
We all want the truth. To properly assess your cloud analytics provider, ask them about the only three things that matter:
Independent benchmark results Company-wide access to insights Security and privacy What are their results on independent, industry-standard benchmarks?
Perhaps you’ve heard from other providers that benchmarks are irrelevant. If that’s what you’re hearing, maybe you should be asking yourself why? Independent, industry-standard benchmarks are important because they help you measure price and performance on both common and complex analytics workloads. They are essential indicators of value because as data volumes grow, it is vital to get the best performance you can at the lowest price possible.
In February, an independent study by GigaOm compared Azure SQL Data Warehouse, Amazon Redshift, and Google BigQuery using the highly recognized TPC-H benchmark. They found that Azure SQL Data Warehouse is up to 14x faster and costs 94 percent less than other cloud providers. And today, we are pleased to announce that in GigaOm’s second benchmark report, this time with the equally important TPC-DS benchmark, Azure SQL Data Warehouse is again the industry leader. Not Amazon Redshift. Not Google BigQuery. These results prove that Azure is the best place for all your analytics.
Today we’re announcing the public preview of Data Discovery & Classification for Azure SQL Data Warehouse, an additional capability for managing security for sensitive data. Azure SQL Data Warehouse is a fast, flexible, and secure cloud data warehouse tuned for running complex queries fast and across petabytes of data.
While it’s critical to protect the privacy of your customers and other sensitive data, it becomes unmanageable to discover, classify, and protect such sensitive data as your businesses and data assets are growing rapidly. The Data Discovery & Classification feature that we’re introducing natively with Azure SQL Data Warehouse helps alleviate this pain-point. The overall benefits of this capability are:
Meeting data privacy standards and regulatory compliance requirements such as General Data Protection Regulation (GDPR). Restricting access to and hardening the security of data warehouses containing highly sensitive data. Monitoring and alerting on anomalous access to sensitive data. Visualization of sensitive data in a central dashboard on the Azure portal. What is Data Discovery & Classification?
Data Discovery & Classification introduces a set of advanced capabilities aimed at protecting data and not just the data warehouse itself.
Auto-discovery and recommendations – Underlying classification engine automatically scans your data warehouse and identifies