James Serras Blog. There were so many good presentations at Microsoft Ignite, all of which can be viewed on demand. I wanted to list the big data related presentations that I found the most useful. Its a lot of stuff to watch and with our busy schedules can be quite challenging to view them all. What I do is set aside 4. If may take a few weeks, but if you consistently watch you will be rewarded by a much better understanding of all the product options and their uses cases, and my last blog post Use cases of various products for a big data cloud solution can be used as a summary of all these options Modernize your on premises applications with SQL Database Managed Instances More and more customers who are looking to modernize their data centers have the need to lift and shift their fleet of databases to public cloud with the low effort and cost. Weve developed Azure SQL Database to be the ideal destination, with enterprise security, full application compatibility and unique intelligent Paa. S capabilities that reduce overall TCO. In this session, through preview stories and demos learn what SQL Database Managed Instances are, and how you can use them to speed up and simplify your journey to cloud. Architect your big data solutions with SQL Data Warehouse and Azure Analysis Services Have you ever wondered whats the secret sauce that allows a company to use their data effectivelyMCSA Certification Training MCSA Windows Server 2012 R2 certification and training course for support specialists, network system administrators. Enroll Now List of mba projects in finance free download mba students who are looking for mba projects in finance for free download can find latest collection of mba projects. How do they ingest all their data, analyze it, and then make it available to thousands of end users What happens if you need to scale the solution Come find out how some of the top companies in the world are building big data solutions with Azure Data Lake, Azure HDInsight, Azure SQL Data Warehouse, and Azure Analysis Services. We cover some of the reference architectures of these companies, best practices, and sample some of the new features that enable insight at the speed of thought. Database migration roadmap with Microsoft Todays organizations must adapt quickly to change, using new technologies to fuel competitive advantage, or risk getting left behind. Organizations understand that data is a key strategic asset which, when combined with the scale and intelligence of cloud, can provide the opportunity to automate, innovate, and increase the speed of business. But every migration journey is unique, so knowing the tricks of the trade will make your journey far easier. In this session, we use real world case studies to provide details about how to perform large scale migrations. We also share information about how Microsoft is investing in making this journey simpler with Azure Database Migration Service and related tools. Whats new with Azure SQL Database Focus on your business, not on the database Azure SQL Database is Microsofts fully managed, database as a service offering based on the worlds top relational database management system, SQL Server. In this session, learn about the latest innovations in Azure SQL Database and how customers are using our managed service to modernize their applications. Our most recent version combines advanced intelligence, enterprise grade performance, high availability, and industry leading security in one easy to use database. Thanks to innovations such as In Memory OLTP, Columnstore indexes, and our most recent Adaptive Query Processing feature family, customers can rely on Azure SQL DB for their relational data management needs, from managing just a few megabytes of transactional data. Deep dive into SQL Server Integration Services SSIS 2. See how to use the latest SSIS 2. ETL workflows, transforming them into scalable hybrid ETLELT workflows. We showcase the latest additions to SSIS Azure Feature Pack, introducingimproving Azure connectivity components, and take a deep dive into SSIS Scale Out feature, guiding you end to end from cluster installation to parallel execution, to help reduce the overall runtime of your workflows. Finally, we show you how to orchestrateschedule SSIS executions using Azure Data Factory ADF and share our cloud first product roadmap towards SSIS Platform as a Service Paa. S. New capabilities for data integration in the cloud This session focuses on the needs of the data integrator whether that be for data warehousingBI, advanced analytics or preparation of data for Saa. S applications. We walk through, by example, a comprehensive set of new additions to Azure Data Factory to make moving and integrating data across on premises and cloud simple, scalable and reliable. Topics covered include how to lift SSIS packages to the cloud via first class SSIS support in data factory, a new serverless data factory application model and runtime capabilities, parallel data movement tofrom the cloud, a new code free experience for building and monitoring data pipelines and more. Understanding big data on Azure structured, unstructured and streaming Data is the new Electricity, and Big Data technologies are helping organizations leverage this new phenomena to foster their businesses in innovative ways. In this session, we show how you can leverage the big data services such as Data Warehousing, Hadoop, Spark, Machine Learning, and Real Time Analytics on Azure and how you can make the most of these for your business scenarios. This is a foundational session to ground your understanding on the technology, its use cases, patterns, and customer scenarios. You will see a lot of these technologies in action and get a good view of the breadth. Join this session if you want to get a real understanding of Big Data on Azure, and how the services are structured to achieve your desired outcome. Building Petabyte scale Interactive Data warehouse in Azure HDInsight Come learn to understand real world challenges associated with building a complex, large scale data warehouse in the cloud. Learn how technologies such as Low Latency Analytical Processing LLAP and Hive 2. In this session, we go deep into LLAPs performance and architecture benefits and how it compares with Spark and Presto. Qlikview Server 11 Free' title='Qlikview Server 11 Free' />We also look at how business analysts can use familiar tools such as Microsoft Excel and Power BI, and do interactive query over their data lake without moving data outside the data lake. Building modern data pipelines with Spark on Azure HDInsight You are already familiar with the key value propositions of Apache Spark. In this session, we cover new capabilities coming in the latest versions of Spark. Windows 7 Home Premium 32 Bit Highly Compressed. More importantly we cover how customers are using Apache Spark for building end to end data analytics pipeline. It starts from ingestion, Spark streaming, and then goes into the details on data manipulation and finally getting your data ready for serving to your BI analysts. Azure Blob Storage Scalable, efficient storage for PBs of unstructured data Azure Blob Storage is the exa scale object storage service for Microsoft Azure. 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