AWS Partner Network (APN) Blog

Category: Analytics

MarkLogic-AWS-Partners

Building a Knowledge Graph for Scientific Research with MarkLogic and AWS

Organizations that prioritize data search and discovery are more productive and innovative. Deploying an intelligent search and discovery system requires organizations to change the way they integrate and curate data using semantic graphs (or knowledge graphs) to build rich search and discovery experiences. MarkLogic Data Hub Service has built-in semantic search capabilities, allowing you to quickly build knowledge graph-based applications.

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Datavard-AWS-Partners

How to Enable 360-Degree Analytics and Innovate Faster on AWS with Datavard Glue for SAP

Today’s enterprises are dealing with more than structured data that’s being exponentially generated. Customers are looking for effective ways to capture, store, curate, and analyze structured data, as well as semi-structured and unstructured data. Learn how Datavard Glue’s extraction capabilities help organizations enable a data-driven culture. Datavard Glue provides integration technology to build a highly scalable, available, secure, and flexible data lake powered by AWS.

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Indexima-AWS-Partners

How Indexima Uses Hyper Indexes and Machine Learning to Enable Instant Analytics on Amazon S3

Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on Amazon S3.

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Lenses.io-AWS-Partners

Archiving Amazon MSK Data to Amazon S3 with the Lenses.io S3 Kafka Connect Connector

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from Amazon MSK to Amazon S3. We’ll also demonstrate how to use Amazon Athena to query the partitioned parquet data directly from S3.

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CSRHub-AWS-Partners

Integrating and Analyzing ESG Data on AWS Using CSRHub and Amazon QuickSight

Environmental, social, and governance (ESG) factors are increasingly important for financial institutions as they look to assess portfolio risk, meet investment mandates, align with customer values, and report on the sustainability of their portfolios. Working closely with CSRHub, a data provider on AWS Data Exchange, learn how AWS has produced a demonstration to illustrate how customers can analyze company-level ESG scoring data with Amazon QuickSight.

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Helping a Pharmaceutical Company Drive Business Insights Using ZS Accelerators on Amazon Redshift

With increasing data variety and volumes, it’s become increasingly necessary to ensure all of an organization’s workloads run in the most efficient manner to reduce overall turn-around time and TCO. Get an overview of the data and analytics platform ZS built to streamline and improve contracting analytics for a top life sciences company. Then, dive deep into the data architecture and learn how ZS evolved its data technology stack to get maximum performance.

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Cazena-AWS-Partners

Cazena’s Instant AWS Data Lake: Accelerating Time to Analytics from Months to Minutes

Given the breadth of use cases, data lakes need to be a complete analytical environment with a variety of analytical tools, engines, and languages supporting a variety of workloads. These include traditional analytics, business intelligence, streaming event and Internet of Things (IoT) processing, advanced machine learning, and artificial intelligence processing. Learn how Cazena builds and deploys a production ready data lake in minutes for customers.

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Semarchy-AWS-Partners

Building a Single Source of Truth with a Data Hub from Semarchy

Organizations need a comprehensive data management solution that includes data quality, cleansing, de-duplication, and curation capabilities. After consolidating trusted golden records, they need to enforce governance requirements and track changes over time. Semarchy’s xDM platform is an innovation in multi-vector Main Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration.

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Tape Ark Unlocks Dark Data on AWS with Tape-to-Cloud Migration

Oil and gas operators face significant challenges accessing the subsurface data they have created and saved on tape media. Being able to perform tape migration at scale is highly complex and resource intensive, but it’s essential for oil and gas companies that want to understand their collection so they can unlock the true value of their data. Tape Ark is powered by AWS and uniquely capable of undertaking mass migrations at large scale.

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Bursting Your On-Premises Data Lake Analytics and AI Workloads on AWS

Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.

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