Category: Analytics

Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.

Insider, an AWS Competency Partner, has been using Elasticsearch for a long time and is satisfied with its performance and features. They had a couple of issues when scaling up its usage, however, but they fixed them by making changes on configurations, architecture, and hardware. Follow along as Insider’s team realizes that fixing symptoms without understanding the root cause may lead to worse scenarios, and how they learned the hard way the importance of identifying the real issue as soon as possible.

Although many SQL engines allow tools to query Amazon S3 data, organizations face multiple challenges, including high latency and infrastructure costs. Learn how Dremio empowers analysts and data scientists to analyze data in S3 directly at interactive speed, without having to physically copy data into other systems or create extracts, cubes, and/or aggregation tables. Dremio’s unique architecture enables faster and more reliable query performance than traditional SQL engines.

Many oil & gas operators need near-instant access to their geoscience data. Unfortunately, most subsurface applications provide only a limited, fragmented view of data. INT’s data visualization platform IVAAP uses OSDU on AWS to enable users who want to optimize this and other workflows. The IVAAP platform offers a single point of access to search, interact with, analyze, and visualize multiple petrotechnical data sources in a single web-based application.

Apache Hudi on Amazon EMR is an ideal solution for large-scale and near real-time applications that require incremental data pipelines and processing. This post provides a step-by-step method to perform a proof of concept for Apache Hudi on Amazon EMR. Learn how a non-customer-facing PoC solution from nClouds set up a new data and analytics platform using Apache Hudi on Amazon EMR and other managed services, including Amazon QuickSight for data visualization.

Running SAP on the cloud can help customers reduce total cost of ownership, increase agility, and create a competitive advantage out of SAP systems and data. To capitalize on these benefits, organizations need a cloud provider and migration partner that can help them migrate quickly and reliably. Learn how Accenture’s Cloud Migration Factory, Data Lake Accelerator, and Cloud Suite help customers more effectively achieve their SAP strategies on AWS.

Built as a cloud-native service, Confluent Cloud offers developers a serverless experience with elastic scaling and pricing that charges only for what they stream. Confluent’s Kafka Connect Amazon Redshift Sink Connector exports Avro, JSON Schema, or Protobuf data from Apache Kafka topics to Amazon Redshift. The connector polls data from Kafka and writes this data to an Amazon Redshift database. Polling data is based on subscribed topics.

A big challenge for enterprises is how to manage the growth of data in a cost-effective manner. CIOs are also looking for ways to get insights out of the data so their organizations can create actionable outcomes. Learn how the CloudArchive Direct feature of Cohesity’s DataPlatform with AWS analytics services to drive insights into customers’ NAS data. Cohesity is redefining data management to lower TCO while simplifying the way businesses manage and protect their data.

For microservices that predominantly write data, Amazon DynamoDB provides an “always on” experience without the need for careful capacity planning, resharding, and database maintenance. These capabilities make DynamoDB a popular database service for various parts of game platforms like player data, game state, session history, and leaderboards. Learn how to pair Amazon DynamoDB with an analytics solution like Rockset to automatically index your data for fast search, aggregations, and joins at scale.

Google Analytics and Google Ads are popular platforms for customers who need to make data-driven decisions about the performance of their web assets. For prediction, testing, and optimization scenarios, however, customers need a broader and more complete set of analytics. Matillion is an ideal tool to combine the power and convenience of Amazon Redshift and Amazon QuickSight, providing cloud-native data integration tools that make loading and transforming data fast, easy, and affordable.