Hw09 Large Scale Transaction Analysis

Économie & finance Business

Hadoop@Visa Joe Cunningham Technology Strategy and Innovation October 2, 2009

Agenda 1 Visa 2 Value-Added Information Products 3 Hadoop@Visa – research results VisaNet – an overview

VisaNet Today ,[object Object],28 million acceptance locations 130 million authorizations per day 1,600 endpoints Processes transactions in 1 second 16,300 financial institutions Less than 2 seconds unavailability per year Processes in 175 currencies 1.4 million ATMs fast secure flexible reliable scalable

1 VisaNet – an overview 2 3 Value-Added Information Products Hadoop@Visa – research results Agenda

Visa Processing Architecture Security/Access Services Message File Web VisaNet Services Integration Common Data Infrastructure Authorization Clearing & Settlement Information Disputes Risk

Value-Added Information Products Information Services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Risk Management Services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

1 VisaNet – an overview 2 Value-Added Information Products 3 Hadoop@Visa – research results Agenda

Research Lab Setup Hadoop Systems VM System Relational Database Custom Analytic Stacks Encryption Processing Management Stack Hadoop #2 ~300Tb / 28 nodes Hadoop #1 ~40Tb / 42 node

Risk Product Use Case Create critical data model elements, such as keys and transaction statistics, which feed our real-time risk-scoring systems Hadoop Cluster ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Input: Transactions Merchant Category Country / Zip Output: Key & Statistics MCCZIP Key Statistics related to account, transaction type, approval, fraud, IP address, tx. counts

Financial Enterprise Fit Some key questions we are researching… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Why Hadoop@Visa? ,[object Object],[object Object],[object Object],[object Object],[object Object],fast secure flexible reliable scalable

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I'm posting the slide presented at the Snowflake user group meet up. NFT Bank has introduced DBT to rebuild and operate the entire data pipeline from scratch. Data quality control and monitoring are critical as data is at the core of the company. You can manage your numerous data validation tests in organized way. You can add one data validation test with just single line of yaml. You can build the data catalog and data lineage docs if you just implement your data pipeline on top of DBT without big effort. --- Session 1: Data Quality & Productivity Data Quality Data Quality Validation Data Catalog, Lineage Documentation DBT Introduction Session 2: Integrate DBT with Airflow DBT Cloud or Airflow? Astronomer Cosmos dbt deps Session 3: Cost Optimization Query Optimization Cost Monitoring

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En vedette

Visa net the power of digital currency

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顧客名 Visa 要件 • 国間をまたがるグローバルなインテリジェンスの提供によるVISAの既存データソースを拡張 • リアルタイム・トランザクション認証をサポート • ステップアップ認証を伴うユーザの煩わしさを削減ソリューションスレットメトリックスの動的リアルタイム共有インテリジェンスは、 VISA にたいして静的なアイデンティティ評価とオンラインでのアイデンティティのギャップを埋めることを支援。結果 • スレットメトリックスのインテリジェンスと VISA ネットワークデータを連携することにより、国間をまたがるグローバルなトランザクションに対し、より正確なリスクスコアの算出と認証の煩わしさと廃棄率を削減。 • 不正削減と高い転換率をグローバルに実現 • 不正の数を増加させることなく、新しい国でのオンライン購買におけるより多くのクレジットカード利用を可能とし、国間をまたがるトランザクションをサポート長期的な成功 VCAS は、下記の鍵となるスレットメトリックス機能に支えられています。 • スレットメトリックスのスマートID機能は、2度目以降のアクセスしたデバイスがcookieを削除または無効化されていても識別。ブラウザ、プラグイン、TCPIP 接続属性などの分析から生成されたスマートIDは、不正行為者による同じデバイスを利用した虚偽のアカウト作成や不正購入を特定し、VISA が十分信用にたえうるリスクスコアを算出。 • スレットメトリックスの優れたつながり分析技術によって、VISA は疑わしいイベントに対して明確な視点を提供。不正行為者は、頻繁に地域を隠し、隠蔽したプロキシ、VPN、 TOR ブラウザなどのアイデンティティ隠蔽を利用することに対して、スレットメトリックスは、これらの技術を正確に検知し、プロキシや VPN の場合には、 VISA に、真の IP アドレス情報、地域とそれぞれのイベントにおけるその他属性情報を提供。

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This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today. The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact. The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories: Data Lifecycle Connection Data for Enterprise AI Cloud Innovation Security & Governance Leadership People First Data for Good Industry Transformation

Cloudera Data Impact Awards 2021 - Finalists

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