'The Data Protection Challenges of Hybrid Working'

'The Data Protection Challenges of Hybrid Working'
According to the Office for National Statistics, in April 2020, the number of remote workers increased to 46% of the population. Now with the easing of lockdown measures, many businesses are considering or are already implementing what the Financial Times calls a "split model' a.k.a "hybrid working" that divides the time between the home and the office. If home-office working is to become the norm, then organisations need to consider the data protection challenges they will be faced with.
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OTHER ON-DEMAND WEBINARS

Building Next-Gen Data Pipelines with Databricks Delta

Databricks

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.
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Building a Modern Operational Data Warehouse

tdwi.org

With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
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2023 data and analytics trends and predictions

The world of data and analytics is evolving faster than ever before. Those that stay ahead of this change will be able to navigate the challenging economy and dominate the decade of data. Data is driving tectonic shifts across our personal and professional lives, creating new opportunities for organizations - and new challenges. But which trends are truly transformative and which will fail to live up to the hype?
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Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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