Thoughts from a Streamologist: Data Aggregation

<span id="hs_cos_wrapper_name" class="hs_cos_wrapper hs_cos_wrapper_meta_field hs_cos_wrapper_type_text" style="" data-hs-cos-general-type="meta_field" data-hs-cos-type="text" >Thoughts from a Streamologist: Data Aggregation</span>

Tobias Drees
Senior Executive Streamologist at G&L

◽ Dieser Artikel ist nur auf Englisch verfügbar. 

Improving your company's data aggregation processes may sound like the last thing you want to do, like organizing all your receipts and invoices you keep dumping into your filing cabinets (I see you). 🙂

But it's a task that you'll thank yourself for later when you realize you don't need to buy a second filing cabinet or when the tax man comes knocking on your door.
In the streaming world, where we are dealing with substantial amounts of data, this translates as having the quick ability to analyze and store the necessary data to ensure your viewers are getting the best service, and you're not wasting money and time.

At G&L, we're big fans of Hydrolix, particularly for handling large-scale streaming log data. Their platform is designed to ingest, query, and analyze massive amounts of data in real-time, and its performance is exceptional.

Even Akamai deprecated their own analytics services to sell Hydrolix as the service "TrafficPeak" and give their customers the option to analyze their streaming log data.
Now you're intrigued about data, aren't you? Learn more about this at G&L's upcoming webinar in May all about data aggregation techniques.

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