10 Top Content Marketing Trends You Can’t Ignore in 2019

Content marketing is an ever-evolving category. One trend melts into another. We get a progressive flow of strategies and trends, so we can’t put a clear line between them. We can’t say that we’ll be dealing with completely new strategies in 2019. We already implemented some of them. The only difference is that they evolve Read More →

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Online Marketing Trends

Online marketing trends are changing quickly and business owners need to stay updated regarding its current trends. If you don’t track these changes, your company is at risk of being left behind one day. Online campaigns can boost your sales and revenues quickly if the right marketing approaches are applied. We would like to introduce Read More →

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Don’t Complicate Spring Controllers With Commotions

@Controller Implementing Interface

You may get into the problem as described below

The mapped controller method class 'com.xyz.ABController'is not an instance of the actual controller bean instance 'com.sun.proxy.$Proxy108'.
If the controller requires proxying (e.g. due to @Transactional), please use class-based proxying.

Proposed SQL Server Defaults: Optimize for Ad Hoc Workloads

A few months ago, I suggested that the following settings should be the default for most SQL Server instances:

  • Set cost threshold for parallelism to 50
  • Disable lightweight pooling if it is enabled
  • Disable priority boost if it is enabled
  • Set optimize for ad hoc workloads to enabled
  • Set max server memory (MB) to a custom value consistent with Jonathan Kehayias’s algorithm
  • Set backup compression default to enabled
  • Set the power saving settings on Windows to high performance if possible
  • Provide an option to flush the plan cache as needed

Over the next few posts, I will dive into the why. This week, we look at enabling optimize for ad hoc workloads, which is more of a memory optimization feature than a performance feature.

Text-Mined Knowledge Graphs — Beyond Text Mining

Text is the medium used to store the tremendous wealth of scientific knowledge regarding the world we live in. However, with its ever-increasing magnitude and throughput, analyzing this unstructured data has become an impossibly tedious task. This has led to the rise of Text Mining and Natural Language Processing (NLP) techniques and tools as the go-to for examining and processing large amounts of natural text data.

Text-Mining is the automatic extraction of structured semantic information from unstructured machine-readable text. The identification and further analysis of these explicit concepts and relationships help in discovering multiple insights contained in text in a scalable and efficient way.