17a-4 LLC’s DataParser offers Scalable, Multi-Server Architecture for Enterprise Clients

DataParser

…the next generation of throughput processing and datacenter security for DataParser.

17a-4’s DataParser is the leading, independent middleware tool for institutions to capture content from online meetings and enterprise collaboration platforms. With the growth of online meeting platforms like Microsoft Teams and Zoom due to Covid-19, the DataParser now features a new, more secure and faster processing Multi-Server architecture. DataParser is continuously being developed to enhance feature sets and processes.

17a-4’s Development team has designed the Multi-Server architecture to include:

  • Source Data Servers. These servers sits in the DMZ or a subnet of an institutional datacenter and supports external-facing services such as Microsoft’s 365, Cisco, Slack, Salesforce, Google and other cloud-based platforms. Servers can be added to provide data collection levels to fit the needs of one or more data streams.
  • Output Processing Servers. These servers sit within the datacenter’s firewall and push collected content into a network of archival, analytic or eDiscovery servers. Servers can be added to provide output throughput, as necessary.
  • Shared Queue Directory. Permits the secure exchange of collected content from the Source Data to the Output Processing Servers.
  • Active Directory integration. Either the Source Data or the Output Processing Server or both may filter collected or output content depending upon the attributes of users or groups in the Active Directory.

“In speaking with our large clients,” offers Charles Weeden, Managing Partner, “we realized their need for a more complex and flexible architecture which address both throughput and information security issues. We have incorporated their concerns into this new Multi-Server architecture.”

Mr. Weeden continues, “deploying middleware capture software in large complex institutions cannot be managed with a single-server, one-size-fits-all strategy. As an independent, middleware company, we have always encouraged input from content providers, clients and archival platforms.”

Depending upon the processing volume and the collection methodology, the DataParser can be configured to support hundreds of thousands of users in a complex regulatory landscape.

DataParser has no impact on the collected data source networks or destination archives. Users’ chat and collaboration activities are not disrupted by the DataParser’s processes and Compliance officers do not have to make changes to eDiscovery procedures. All ingested data sources are fully indexed and searchable via typical eDiscovery queries.

All major archiving technologies are supported by DataParser allowing clients to leverage in house resources and keep compliance costs to a minimum. VMs are supported, including AWS and Azure. Message delivery options include the ability to send via SMTP into an archive, to a file location or a mailbox. The third-party data endpoint for clients using Office 365 for archiving is also supported.

DataParser offers on-premise and hosted plans. For more information about DataParser’s Multi-Server architecture visit 17a-4.com.

About 17a-4 LLC:
17a-4 is a compliance services and software company with a focus on solutions to meet regulatory and e-discovery needs of institutional clients. Clients leverage 17a-4’s expertise to ensure information infrastructures comply with SEC (Rule 17a-4), FINRA and CFTC (Rule 1.31) regulations. 17a-4 services include Designated Third Party, Books & Records audits, Archive Reviews and assessments of compliant architectures.

17a-4’s DataParser is the leading middleware solution for messaging compliance. 17a-4’s architecture provides for a single-point in which all e-messaging content may be managed for retention, legal and regulatory holds and e-discovery productions.

17a-4 is based in New York.

All product and company names herein may be trademarks of their registered owners.

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