BIG DATA MANAGEMENT

MayStreet Launches Next Generation of Market Data Analytics Product

MayStreet | March 02, 2022

MayStreet, the industry’s leading market data technology and content provider, today announced the launch of the next generation of Analytics Workbench, the firm’s ready-to-use, cloud-based market data analytics environment. Through Analytics Workbench, data analysts can quickly and efficiently query the MayStreet Market Data Lake to drive mission-critical trading workflows without having to manage data capture, delivery or storage.

Key features of new Analytics Workbench include the ability to:

  • Query and extract data using Python or R for analysis within Workbench or in any other location, whether in the cloud or on-premise
  • Leverage pre-configured Jupyter® notebooks to support out-of-the-box query capabilities
  • Perform ad-hoc analyses or schedule batch jobs to support ongoing reporting requirements
  • Instantly parallelize and scale ad-hoc or scheduled code across the cloud with integrated support for Dask clusters
  • Upload internal order data or other third-party data to leverage in conjunction with MayStreet market data to support TCA, fill analysis and best execution reporting
  • Query results provided in normalized or raw PCAP formats and create reports using powerful visualization tools
  • Flexible deployment options, either fully managed within MayStreet’s cloud environment or integrated within a client’s cloud
  • Achieve performance objectives with optimized cluster parallelization

“The completely revamped Analytics Workbench realizes our goal of letting users bring their queries to our data, freeing them from the difficult and costly work of managing the data themselves. For the first time, our vast repository of ultra-high-quality global market data is accessible in a ready-to-use environment that leverages cloud economics. It’s also highly customizable, letting clients choose the level of performance they desire so that costs can be managed based on their needs. For capital markets data analysts, the new Analytics Workbench is a true gamechanger.”

Naftali Cohen, MayStreet’s Chief Revenue Officer

Dave Thompson, Senior Vice President, Frontend Engineering, added: “In the process of redeveloping Analytics Workbench from the ground up, we identified several tools such as Dremio, Dask and Jupyter that could elevate its performance, functionality and scalability. By integrating these and other technologies, we have been able to create a truly modern data access and analytics tool built for the cloud. We’ve had many conversations with clients over the past 18 months about their hopes for a product like this, and we’re very pleased with the end result.”

The new version of Analytics Workbench is currently being used by multiple clients, including a global investment bank, an exchange and a quantitative hedge fund. MayStreet expects additional clients to begin using the product over the coming weeks. Analytics Workbench was used by market structure researchers Robert Bartlett, Justin McCrary and Maureen O’Hara for their recent paper on the impact of odd lot quotes.

“MayStreet’s comprehensive, high-quality exchange data allowed us to document the vital importance of odd lot quotes in today’s equity markets, especially for higher-priced stocks,” said Bartlett, Faculty Director at the Berkeley Center for Law, Business and the Economy. “Without reliable access to the historical data feeds for all exchanges, such a study would simply not be possible given that these quotes are excluded from the SIP data. Additionally, leveraging MayStreet’s Analytics Workbench gave us the computational capacity we needed to process quickly the vast quantities of data.”

MayStreet’s release of Analytics Workbench is the latest in a series of enhancements to the MayStreet Market Data Lake. Other recent enhancements include access through a new High Performance Query (HPQ) API, the introduction of full-depth-of-book data for all US listed options markets and the round out of its global coverage with the addition of all major equities and futures markets in Asia-Pacific.

About MayStreet
MayStreet delivers the highest-quality, most complete global market data available. The firm’s solutions – which include the highly accessible Market Data Lake feed repository and Bellport Enterprise feed handler – help market participants generate maximum value from exchange data by delivering it when, where and how they want to receive it. With MayStreet, clients are freed from the difficult and costly work of sourcing and processing market data, leading to lower total cost of ownership, improved decision-making and better performance.

Spotlight

Harvard Business Review Analytic Services surveyed over 600 business and IT leaders to understand their use of data analytics and the challenges they face in delivering the right data for faster, more accurate decisions.

Spotlight

Harvard Business Review Analytic Services surveyed over 600 business and IT leaders to understand their use of data analytics and the challenges they face in delivering the right data for faster, more accurate decisions.

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BIG DATA MANAGEMENT,DATA ARCHITECTURE,BUSINESS STRATEGY

WANdisco Unveils Data Activation Platform 2.0 to Accelerate Massive Data Transfers

WANdisco | January 20, 2023

On January 19, 2023, WANdisco, a data activation company, announced the launching of its Data Activation Platform 2.0 to enable faster migrations of massive datasets. Leveraging both the WANdisco Data Migrator and Edge to Cloud technologies, the updates enhance the speed and scalability of on-premises and edge data transfers through high precision control over migration throughput, prioritization, and cleanup, among other capabilities. In addition, the updates improve data movement performance from Hadoop environments and IoT sensor data to any cloud, boosting the commercial value of data regardless of where it resides. Organizations maintain a complicated data web that spans numerous storage environments with channels that connect to multiple clouds. According to IDC, businesses store data across five primary domains, but mostly in on-premises, edge locations, and public cloud. Furthermore, 69% of data leaders are unable to use their data due to lengthy timelines, high costs, and risk of data transfers between environments, as per the 2022 State of Data Activation report. Multi-cloud strategies, in which organizations use artificial intelligence (AI), machine learning (ML), and analytics capabilities of different clouds for distinct use cases, add to this complexity. Data Activation Platform 2.0 offers granular control over all or selective data transfers within a streamlined user interface. New automated tools optimize migration and storage resources across environments, with the goal of increasing the speed at which large-scale datasets can be migrated to any cloud. David Richards, CEO and Founder of WANdisco, said, "Businesses face a dizzying challenge in moving massive amounts of data from a lot of sources to a lot of targets. As data continues to amass at the edge and on-premises at an unprecedented pace, solutions must improve to handle massive data transfers at incredible speeds – but also deliver a seamless experience." He further added, "Data Activation Platform 2.0 does just that. Now enterprises will have even greater control over all, or specific, data transfers happening across their business." (Source – Cision PR Newswire) About WANdisco Headquartered in San Ramon, CA, WANdisco is the world's first and only data activation platform for pacing-up digital transformation at scale. The company makes unlimited data actionable in real-time across clouds and enterprises. Customers of WANdisco use the cloud to drive AI and machine learning, transform enterprises, and create new services with zero downtime, data loss, or disruption. WANdisco has over a hundred customers, substantial go-to-market collaborations with organizations such as Microsoft Azure, Databricks, Google Cloud, Amazon Web Services, Oracle, and others, as well as OEM relationships with Alibaba and IBM.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

Matillion Accelerates Productivity for Data Teams with Key Ecosystem Integrations

Matillion | November 30, 2022

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Precisely Expands Global Data Enrichment and Geo Addressing Coverage, Unlocking Location-Based Context for Customers Around the World

Precisely | December 15, 2022

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