Category: Analytics

Online analytical processing (OLAP) is a method of organizing datasets in a multi-dimensional format for quick analysis and provides deeper insights for decision-makers. Multi-dimension analysis is widely adopted by analysts, knowledge users, and power users for their decision support process. Learn how utilizing AWS analytic services and migration tools together with HCLTech frameworks to orchestrate OLAP solutions.

Many organizations have standardized or plan to standardize their unified data security governance on AWS Lake Formation. Some of these organizations are also leveraging Databricks and would like to create and manage data access policies for Databricks using AWS Lake Formation as well. Learn how Privacera’s integrated solution extends AWS Lake Formation source support to Databricks and provides data access policy authorship and maintenance from one safe and convenient location.

Many organizations are adopting data lakes to handle large volumes of data, and flexible pipelines to fit the needs of consuming services and teams (machine learning, business intelligence, and analytics). In this post, we’ll explore the modern data lake and how Fivetran can help accelerate time-to-value with Amazon S3 and Apache Iceberg. Fivetran offers pre-built connectors for 300+ data sources and employs ETL to land data in the warehouse or data lake.

Managing software development activities can be complex for enterprises, especially with the need for a single dashboard that provides insights into business, process, and people-centric metrics. Apexon’s COMPASS solution leverages machine learning to capture and integrate continuous data and intelligence across the software development lifecycle, providing a comprehensive view of resource performance and its impact on KPIs.

IBM’s watsonx is an artificial intelligence and data platform designed to scale and accelerate the impact of AI with trusted data. As a part of watsonx, IBM has launched watsonx.data, which enables customers to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture. It provides querying, governance, and open data formats for easy data access and sharing. Customers can connect to their data within minutes, gain trusted insights quickly, and reduce data warehouse costs.

Organizations need to be able to carefully define, monitor, and manage who has access to specific pieces of data according to their policies and external regulations. Effective data governance ensures data is consistent and trustworthy without being misused. Learn how Privacera enables data access governance on Amazon Aurora, including tag-based access control policies, and how Privacera can be used to mask columns or filter by row.

Learn about Emumba’s real-world experience handling streaming data from millions of devices—a prototypical use case for IoT and telemetry data ingestion. This post explores how the scale of ingestion radically alters the design decisions, and the lessons learned shared should help your business to make informed decisions given your unique set of conditions. Emumba is an AWS Partner that puts equal emphasis on product design, user experience, and solid engineering, bringing startup agility to enterprises.

Location data is a powerful tool that provides real-time information and predictive analytics. By leveraging location intelligence, companies can make better decisions related to store design, staffing, capital investments, new product development, site selection, and more. Learn how AWS and Foursquare are helping businesses usher in a new era of location intelligence, supplying companies with easy-to-work-with, high quality data through the AWS Data Exchange.

Sisense Fusion Embed and Amazon Redshift Serverless provide customers with an integrated and seamless AI-powered data analytics experiences combined with predictive intelligence, natural language querying, and more. Together, these solutions enable data-driven decisions and deliver business insights at the point of decision making. Explore the benefits and synergy of these two powerful data solutions and how they can help organizations turn data into actionable insights.

Precisely’s geo addressing solution is coupled with data enrichment to enable organizations to accelerate the use of address data and quickly associate rich, relevant contextual information to power faster and more confident decision-making. The Precisely Geo Addressing SDK allows organizations to develop and deploy geocoding desktop, mobile, or web applications capable of delivering location information for over 250 countries and territories.