EXTENDING YOUR ANALYTICAL ENVIRONMENT TO ACCOMMODATE BIG DATA

Hortonworks

Presented by independent analyst & Big Data thought leader, Mike Ferguson Join Mike Ferguson, as he explores how the growing business demand to analyse new sources of data is impacting on traditional architectures and how these architectures need to change to accommodate big data analytical workloads.
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Spotlight

The current form of analytics frequently involves an enduser using a spreadsheet application. The trouble is that information is often slow coming in and may not contain all relevant data, and the result is unacceptable delays in getting actionable information. That’s okay, but it probably won’t get you where you want to go. With Big Data and Analytics (BD&A), you get a new approach to gathering, processing, and understanding information. You may hear the term a lot, but many people still don’t fully know what it is. Very broadly, BD&A is a combined hardware/software architecture that gathers vast quantities of disparate data for fast analysis. The analysis produces meaningful information. The result is that you can make faster and better-informed business decisions. The benefit is competitive advantage and (hopefully) increased profitability for your operation.


OTHER ON-DEMAND WEBINARS

Smart Partitioning with Apache Apex

DataTorrent

Processing big data often requires running the same computations parallelly in multiple processes or threads, called partitions, with each partition handling a subset of the data. This becomes all the more necessary when processing live data streams where maintaining SLA is paramount.
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5 Ways to Fuel Your Big Data Analytics in 2018

BrightTALK

The big data analytics market has undergone continuous transformation since its’ inception and continued in 2017 with new innovations and a strong move to the cloud. But from the view of a customer, the world should be getting simpler, not more complex, and they expect products to make deployments faster and easier. Instead of complex, “piece together your own architecture” approaches, 2018 will be a year in which customers can really focus on what’s important – the data and analytics – and not the underlying technologies that support them, whether on-premise, in the cloud, or hybrid.
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Bringing Hadoop into the Banking Mainstream

WANdisco

Financial services companies are deadly serious about money and ambitious in using new technology to support their operations. Financial firms know that time and bits of information can be critical to success, placing rigorous performance and availability standards on Hadoop. Data from around the world must be ingested rapidly with zero chance for interruption, and often must remain in its country of origin for analysis with only aggregate results passed upstream.
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What is the GDPR and how will it affect the way you handle data?

CASERTA

GDPR affects companies in the United States and Canada. Failure to comply with the GDPR could result in fines of up to $20 million or higher. Join us to learn: - What is the GDPR and severe consequences of non-compliance - What are the eight main GDPR requirements - How ready is your company and what you can do now
Watch Now

Spotlight

The current form of analytics frequently involves an enduser using a spreadsheet application. The trouble is that information is often slow coming in and may not contain all relevant data, and the result is unacceptable delays in getting actionable information. That’s okay, but it probably won’t get you where you want to go. With Big Data and Analytics (BD&A), you get a new approach to gathering, processing, and understanding information. You may hear the term a lot, but many people still don’t fully know what it is. Very broadly, BD&A is a combined hardware/software architecture that gathers vast quantities of disparate data for fast analysis. The analysis produces meaningful information. The result is that you can make faster and better-informed business decisions. The benefit is competitive advantage and (hopefully) increased profitability for your operation.

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