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AML: Past, Present and Future – Part III

Cloudera

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Banking 40
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Unlocking Effective Data Governance with Unity Catalog – Data Bricks

RandomTrees

Understanding the Object Hierarchy in Metastore Identifying the Admin Roles in Unity Catalog Unveiling Data Lineage in Unity Catalog: Capture and Visualize Simplifying Data Access using Delta Sharing 1. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

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SNP Unlocks SAP Data for Advanced Analytics with Its Snowflake Native App

Snowflake

As a cohesive ERP solution, SAP is often one of the largest data resources in an organization, containing everything from financial and transactional data to master information about customers, vendors, materials, facilities, planning and even HR. What’s the challenge with unlocking SAP data?

IT 95
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Announcing New Innovations for Data Warehouse, Data Lake, and Data Lakehouse in the Data Cloud 

Snowflake

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

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The Power of Exploratory Data Analysis for ML

Cloudera

Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams. . When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling. Next Steps.

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How HomeToGo Is Building a Robust Clickstream Data Architecture with Snowflake, Snowplow and dbt

Snowflake

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Something that is especially handy is Snowflake’s support for semi-structured data.

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Business Intelligence vs. Data Mining: A Comparison

Knowledge Hut

Process of analyzing, collecting, and presenting data to support decision-making. Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Structured data from databases, data warehouses, and operational systems.