Pyramid Analytics BI Office’s Enterprise BI Platform and PrecisionPoint’s data warehousing solution for MS Dynamics ERP systems combine to deliver simplified access to key Business and Financial data.
Learn the ins and outs of Azure Data Lake in this deep dive
The SQL team has been working on next-gen query processing improvements to improve the performance of your queries and to enable new scenarios. This talk will explain these enhancements and how they fit into the overall product roadmap for SQL.
We'll look at events that you should be monitoring, how you can use various services & IoT enabled devices to alert you in ways that were never possible. You'll leave with a new outlook of how teams can be notified to fix problems faster than ever.
Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at the design considerations for clustered indexes and for nonclustered indexes.
Continuous Integration has not yet been fully integrated into our BI standards and methods. Tool support is still somewhat unsatisfactory. Let’s look into requirements for a SSAS solution and on ways to approach your self-made solution.
We’ll share in the session best practices of designing highly available SQL Databases in the context of cross region deployment; how to make your application robust to handle transient connectivity issues.
Azure SQLDW - WHAT, WHERE, WHEN and HOW to use it.
Not every workload can benefit from In-Memory tables. Memory Optimized Tables are not a magic bullet that will improve performance for all kinds of transactional workloads. This session gives you the details you need.
Industry independent analysts say “Pyramid Analytics is essentially the best-in-class, on-premises offering for Microsoft BI today and tomorrow” What does this mean for you and PowerBI?
With increasing speed in relational query execution classical analytical solutions get challenged more and more. Why loose time for processing data into multi-dimensional databases? Why analyze outdated data if you can have fresh data instead?
Business expects 360 view of Customer but data is difficult to build, challenging to clean and complex to de-duplicate. The challenge is to synchronise this data with systems of record. See how Profisee can solve this problem at volume & without code
Learn how to use this fantastic package in R for high-speed, low-code table wrangling.
In this session we will review the new enhancement to SQL Server security available in SQL Server 2016 and Azure SQL DB.
A session to understand the available functionality of SSISDB Catalog
Temporal Tables as a new technology in Microsoft SQL Server makes the implementation and management of data histories so easy. In this session, discover ALL the secrets of System Versioned Temporal Tables.
Make the right career move impressing your CEO and C-Level suite executives! Meet their specific needs with the right metrics and data visualisation. Power BI can help to bring clarity & predictability to the CEO to make strategic decisions.
A look inside SQL Server distribution statistics
Find out how the new SQL Clone enables self-service easy automation of database copies, near-instant at the time of need, using a fraction of the disk space, and allowing quick reversion to a baseline.
In this session we will learn about SQL Server enhancements in the most recent versions that can help you troubleshoot query performance.
Write SQL unit tests with tSQLt and automate them with VSTS.
Choosing the wrong visualization can obscure the story - or worse yet, distort it! In this session, learn the vocabulary of data visualization and how to apply grammar (visualization design principles) to your data.
Learn about graph databases and how they are implemented in SQL Server vNext
This session will cover High Availability and Disaster Recovery solutions for SQL Server on Linux. What technology options are available and how to build a highly available database solution on Linux
The world’s largest enterprises run their critical business operations on SAP. See a demo of how to replicate SAP data to the Microsoft platform, avoiding the challenges of the complex underlying data models and structures.
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