HBaseCon 2012 | Scaling GIS In Three Acts

Housing affordability in California decreased in the fourth quarter of 2012 as higher home prices offset lower interest rates, with 48% of households able to afford a median-priced home compared to 49% in the previous quarter and 55% a year ago. Affordability improved in some regions like Los Angeles but worsened in others such as San Francisco and the Inland Empire. Home buyers needed a minimum annual income of $66,940 to afford a $353,190 median-priced existing single-family home with a monthly payment of $1,670.

Tricumen Rbs Update 13 Jan 12 Public

sebwalker

RBS will restructure its Global Banking & Markets division over the next three years by exiting cash equities, corporate broking, equity capital markets, and mergers and acquisitions, which generated £220m in revenue in the first nine months of 2011. Going forward, RBS will focus on fixed income, foreign exchange, debt financing, transaction services, and risk management. The restructuring aims to emphasize RBS's strengths in foreign exchange, G10 rates, credit and mortgages, which could create a more competitive capital markets offering. Initial estimates indicate the new structure focusing on FX, rates, credit and mortgages generates more revenue than competitors after accounting for costs.

HBaseCon 2012 | Unique Sets on HBase and Hadoop - Elliot Clark, StumbleUpon

Determining the number of unique users that have interacted with a web page, game, or application is a very common use case. HBase is becoming an increasingly accepted tool for calculating sets or counts of unique individuals who meet some criteria. Computing these statistics can range in difficulty from very simple to very difficult. This session will explore how different approaches have worked or not worked at scale for counting uniques on HBase with Hadoop.

HBaseCon 2012 | Building Mobile Infrastructure with HBase

In this session you will learn the common mistakes made when deploying a high write environment when building an analytics database in HBase, as well as tips on how to diagnose and debug performance bottlenecks, and an overview of an open source monitoring utility developed at Urban Airship for finding HBase hotspots. This session will also present a case study on how Urban Airship replaced a tag system running on a highly sharded PostgreSQL cluster to HBase, the options explored to create a high throughput Boolean tag system and how it was ultimately built on HBase.

HBase Read High Availability Using Timeline-Consistent Region Replicas

Speakers: Enis Soztutar and Devaraj Das (Hortonworks) HBase has ACID semantics within a row that make it a perfect candidate for a lot of real-time serving workloads. However, single homing a region to a server implies some periods of unavailability for the regions after a server crash. Although the mean time to recovery has improved a lot recently, for some use cases, it is still preferable to do possibly stale reads while the region is recovering. In this talk, you will get an overview of our design and implementation of region replicas in HBase, which provide timeline-consistent reads even when the primary region is unavailable or busy.

HBaseCon 2012 | Relaxed Transactions for HBase - Francis Liu, Yahoo!

For Map/Reduce programmers used to HDFS, the mutability of HBase tables poses new challenges: Data can change over the duration of a job, multiple jobs can write concurrently, writes are effective immediately, and it is not trivial to clean up partial writes. Revision Manager introduces atomic commits and point-in-time consistent snapshots over a table, guaranteeing repeatable reads and protection from partial writes. Revision Manager is optimized for a relatively small number of concurrent write jobs, which is typical within Hadoop clusters. This session will discuss the implementation of Revision Manager using ZooKeeper and coprocessors, and paying extra care to ensure security in multi-tenant clusters. Revision Manager is available as part of the HBase storage handler in HCatalog, but can easily be used stand-alone with little coding effort.

This document summarizes Berk D. Demir's design for a content addressable storage system to store and serve large amounts of static assets with low latency, high availability, and without data duplication. The key aspects of the design are: 1) Using HBase as the underlying distributed database to store immutable rows of metadata and blob content in a single table with different column families based on access patterns. 2) Addressing content via a cryptographic hash of the content rather than a database key to allow immutable and deduplicated storage. 3) Serving the stored content via HTTP using common verbs and headers to provide a simple interface for clients.

HBaseCon 2012 | Leveraging HBase for the World’s Largest Curated Genomic Data...

This document discusses how NextBio leverages HBase to store and access the world's largest curated genomic data collection. It describes using HBase to store billions of genomic variants and correlations. Specific use cases show how variant and correlation data are partitioned across different HBase tables and accessed using pagination, keys and filters. Lessons learned are that HBase works well for immutable data with high insert rates and big data volumes when intelligence is incorporated into the keys.

Cross-Site BigTable using HBase

Speakers: Jingcheng Du and Ramkrishna Vasudevan (Intel) As HBase continues to expand in application and enterprise or government deployments, there is a growing demand for storing data across geographically distributed datacenters for improved availability and disaster recovery. The Cross-Site BigTable extends HBase to make it well-suited for such deployments, providing the capabilities of creating and accessing HBase tables that are partitioned and asynchronously backed-up over a number of distributed datacenters. This talk reveals how the Cross-Site BigTable manages data access over multiple datacenters and removes the data center itself as a single point of failure in geographically distributed HBase deployments.

HBaseCon 2013: 1500 JIRAs in 20 Minutes

The document discusses improvements made to HBase over the past year based on activity in the project's JIRA issue tracking system. It notes that over 1,500 issues were addressed, including major topics like snapshots, replication, and compaction. For the issue on loading column families on demand to improve scan performance (HBASE-5416), there was significant discussion among contributors on how best to implement the change in a performant and tested way, with the patch ultimately being improved and merged by Sergey Shelukhin.

HBaseCon 2015: Trafodion - Integrating Operational SQL into HBase

Trafodion, open sourced by HP, reflects 20+ years of investment in a full-fledged RDBMS built on Tandem's OLTP heritage and geared towards a wide set of mixed query workloads. In this talk, we will discuss how HP integrated Trafodion with HBase to take full advantage of the Trafodion database engine and the HBase storage engine, covering 3-tier architecture, storage, salting/partitioning, data movement, and more.

HBaseCon 2013: Project Valta - A Resource Management Layer over Apache HBase

Valta is a resource management layer over Apache HBase that aims to address issues with shared workloads on a single HBase cluster. It introduces resource limits for HBase clients to prevent ill-behaved clients from monopolizing cluster resources. This is an initial step, and more work is needed to address request scheduling across HBase, HDFS, and lower layers to meet service level objectives. The document outlines ideas for full-stack request scheduling, auto-tuning systems based on high-level SLOs, and using multiple read replicas to improve latency.

HBaseCon 2012 | Living Data: Applying Adaptable Schemas to HBase - Aaron Kimb...

HBase application developers face a number of challenges: schema management is performed at the application level, decoupled components of a system can break one another in unexpected ways, less-technical users cannot easily access data, and evolving data collection and analysis needs are difficult to plan for. In this talk, we describe a schema management methodology based on Apache Avro that enables users and applications to share data in HBase in a scalable, evolvable fashion. By adopting these practices, engineers independently using the same data have guarantees on how their applications interact. As data collection needs change, applications are resilient to drift in the underlying data representation. This methodology results in a data dictionary that allows less-technical users to understand what data is available to them for analysis and inspect data using general-purpose tools (for example, export it via Sqoop to an RDBMS). And because of Avro’s cross-language capabilities, HBase’s power can reach new domains, like web apps built in Ruby.

HBaseCon 2013: Evolving a First-Generation Apache HBase Deployment to Second...

HBaseCon 2013: Apache HBase on Flash

This document discusses using flash storage for HBase deployments. It begins by explaining the basics of NAND flash memory. It then analyzes the performance of HBase on flash versus DRAM, finding that flash can support the larger working sets now common in HBase clusters. The document details several flash-optimized features for HBase, including short-circuit reads, the BucketCache, and minimizing write amplification. It concludes by considering opportunities to further optimize HBase for flash, such as reducing write amplification and making HDFS aware of different storage technologies.

HBaseCon 2013: Rebuilding for Scale on Apache HBase

The document discusses Simply Measured's migration from MongoDB to HBase for storing social media analytics data. Simply Measured initially used MongoDB but encountered scaling issues as their data grew beyond 10TB. They migrated to HBase using a dual write approach to ensure accuracy. HBase provided better scaling and stability. The migration process and challenges are described, such as schema design in HBase and performance tuning. Future plans including using Hive and HCatalog for easier querying are also mentioned.

HBaseCon 2012 | HBase for the Worlds Libraries - OCLC

WorldCat is the world’s largest network of library content and services. Over 25,000 libraries in 170 countries have cooperated for 40 years to build WorldCat. OCLC is currently in the process of transitioning Worldcat from Oracle to Apache HBase. This session will discuss our data design for representing the constantly changing ownership information for thousands of libraries (billions of data points, millions of daily updates) and our plans for how we’re managing HBase in an environment that is equal parts end user facing and batch.

HBaseCon 2015: DeathStar - Easy, Dynamic, Multi-tenant HBase via YARN

HBaseCon 2013: Apache Hadoop and Apache HBase for Real-Time Video Analytics

Hadoop and HBase are used to provide real-time analytics on video streaming data for a company called LongTail Video. Over 1 billion video streams are processed monthly, generating 16 billion analytics events and 15 TB of data. HBase clusters in Amazon EWS are used to store and query this analytics data in real-time, with 80 million data points inserted daily. Challenges include dealing with exotic bugs at scale and preference for SQL queries over HBase's key-value data model, but with proper row key design and resource provisioning, HBase can handle these real-time analytics needs.

HBaseCon 2013: Apache HBase, Meet Ops. Ops, Meet Apache HBase.

This document provides an overview of operating HBase clusters in production environments. It discusses leveraging existing knowledge of distributed systems, getting metrics set up using tools like Ganglia and OpenTSDB, automating tasks with Puppet, Chef and Fabric, setting up alerting with Nagios and Zabbix, and different backup strategies for HBase including offline distcp backups, replication to another cluster, and using HBase snapshots. The goals are to help operations teams understand how to manage HBase and empower them to work with their own operations organizations.

Tales from the Cloudera Field

This document discusses tales from the field of deploying and managing HBase production clusters at Cloudera. It introduces the authors and their backgrounds with HBase. It then covers stories about starting production deployments, fixing bugs, and upgrading clusters. Key lessons include properly sizing clusters, managing regions, fixing issues like hotspots or faulty hardware, and automating upgrades. The goal is to help others avoid problems and have fewer tales of their own through best practices.

HBaseCon 2013: Being Smarter Than the Smart Meter

The document discusses a smart meter analytics platform that was acquired by Oracle in 2012. It uses HBase for distributed storage of smart meter data and provides real-time and batch analytics capabilities. Filters and datasets allow configurable querying of time series data stored in HBase to power a user interface and exploratory analytics. The platform can scale to support the analytics needs of large utilities with billions of data points from millions of smart meters stored across multiple HBase clusters.

HBaseCon 2015: State of HBase Docs and How to Contribute

HBaseCon 2013: ETL for Apache HBase

Experian Marketing Services processes large amounts of customer data and needed a scalable solution to store and query the data. They developed a custom ETL solution using HBase for storage and an extractor to optimize queries. The solution ingests data from multiple sources into HBase tables in near real-time, generates aggregate tables, and allows queries to retrieve results from optimized tables based on metadata. Testing showed the solution could ingest over 1 million records per minute into HBase and return most queries within seconds.

Bulk Loading in the Wild: Ingesting the World's Energy Data

Speakers: Eric Chang (Opower) and Jean-Daniel Cryans (Cloudera) HBase is designed to store your big data and provide low latency random access to that data. One of its most compelling features is Bulk Loading, which enables the generation of HFiles that can then be passed to the RegionServers. Opower's energy insights platform uses it to ingest the hundreds of millions of meter reads it receives daily from its partner utility companies. This presentation will walk you through the HBase Bulk Loading process and Opower's adoption of it as an important piece of its HBase ecosystem.

HBaseCon 2015: Just the Basics

Graphs, Edges & Nodes - Untangling the Social Web

Joël Perras

Many of the most popular web applications today deal with highly organized and structured data that represent entities, and the relationships between these entities. LinkedIn can tell you how many degrees of separation there are between yourself and the CEO of Samsung, Facebook can figure out people that you might already know, Digg can recommend article submissions that you might like, and LastFM suggests music based on your current listening habits. We’ll take a look at the basic theory behind how some of these features can be implemented (no computer science degree required!), and then dig in to a few practical implementations using PHP & and a relational database, as well as with Redis. Lastly, we’ll take a quick look at the current landscape of graph-based datastores that simplify many of these operations.

SAIA 2012 Presentation

RobynVeckranges

The document is a disclaimer stating that the contents are confidential property of Side Effects Design and Innovation Pty (Ltd) and may not be disclosed or used without prior written consent and monetary exchange. It describes the auctioneer as a central reference guide for the auction industry owned and operated by Side Effects Design. It is distributed through community newspapers across Gauteng with a weekly circulation of 650,000 reaching LSM 8-10 decision makers at a higher rate than daily newspapers.

Viewers also liked

HBaseCon 2012 | Content Addressable Storages for Fun and Profit - Berk Demir,...

HBaseCon 2012 | Leveraging HBase for the World’s Largest Curated Genomic Data...

Cross-Site BigTable using HBase

HBaseCon 2013: 1500 JIRAs in 20 Minutes

HBaseCon 2015: Trafodion - Integrating Operational SQL into HBase

HBaseCon 2013: Project Valta - A Resource Management Layer over Apache HBase

HBaseCon 2012 | Living Data: Applying Adaptable Schemas to HBase - Aaron Kimb...

HBaseCon 2013: Evolving a First-Generation Apache HBase Deployment to Second...

HBaseCon 2013: Apache HBase on Flash

HBaseCon 2013: Rebuilding for Scale on Apache HBase

HBaseCon 2012 | HBase for the Worlds Libraries - OCLC

HBaseCon 2015: DeathStar - Easy, Dynamic, Multi-tenant HBase via YARN

HBaseCon 2013: Apache Hadoop and Apache HBase for Real-Time Video Analytics

HBaseCon 2013: Apache HBase, Meet Ops. Ops, Meet Apache HBase.

Tales from the Cloudera Field

HBaseCon 2013: Being Smarter Than the Smart Meter

HBaseCon 2015: State of HBase Docs and How to Contribute

HBaseCon 2013: ETL for Apache HBase

Bulk Loading in the Wild: Ingesting the World's Energy Data

HBaseCon 2015: Just the Basics

Viewers also liked (20)

HBaseCon 2012 | Content Addressable Storages for Fun and Profit - Berk Demir,...

HBaseCon 2012 | Leveraging HBase for the World’s Largest Curated Genomic Data...

Cross-Site BigTable using HBase

HBaseCon 2013: 1500 JIRAs in 20 Minutes

HBaseCon 2015: Trafodion - Integrating Operational SQL into HBase

HBaseCon 2013: Project Valta - A Resource Management Layer over Apache HBase

HBaseCon 2012 | Living Data: Applying Adaptable Schemas to HBase - Aaron Kimb...

HBaseCon 2013: Evolving a First-Generation Apache HBase Deployment to Second...

HBaseCon 2013: Apache HBase on Flash

HBaseCon 2013: Rebuilding for Scale on Apache HBase

HBaseCon 2012 | HBase for the Worlds Libraries - OCLC

HBaseCon 2015: DeathStar - Easy, Dynamic, Multi-tenant HBase via YARN

HBaseCon 2013: Apache Hadoop and Apache HBase for Real-Time Video Analytics

HBaseCon 2013: Apache HBase, Meet Ops. Ops, Meet Apache HBase.

Tales from the Cloudera Field

HBaseCon 2013: Being Smarter Than the Smart Meter

HBaseCon 2015: State of HBase Docs and How to Contribute

HBaseCon 2013: ETL for Apache HBase

Bulk Loading in the Wild: Ingesting the World's Energy Data

HBaseCon 2015: Just the Basics

Similar to HBaseCon 2012 | Scaling GIS In Three Acts

Graphs, Edges & Nodes - Untangling the Social Web

Joël Perras

SAIA 2012 Presentation

RobynVeckranges

2 comenius survey results balfron

coreurope

The survey of 60 students at Balfron High School in Scotland found the following: 1) 31 students believed climate change has been caused by human activities, while 9 believed it was due to natural processes. 2) When asked to rank renewable energy sources based on their environmental impact, onshore wind was ranked as having the least impact. 3) Wind (onshore and offshore) and solar were most often cited as the most important renewable energy sources for Scotland's future. 4) 48 students could not see a wind farm from their house or school, while 12 could. Of those who could see a wind farm, most had a positive view of them.

January

The document summarizes the real estate market in Southwest California. It notes that after being hit hard by the recession, cities like Murrieta and Temecula have recovered and home sales are increasing again. In January 2013, over $145 million worth of single family homes were sold in the region. While sales were down from the previous month, home prices rose between 9-30% compared to January 2012. The recovery remains fragile due to risks from higher taxes, regulations and changes to mortgage interest deductions being discussed. The housing market rebound could help further drive the economic recovery.

March Realtor Update

- The document discusses the importance of political involvement for the real estate industry, noting that the National Association of Realtors is one of the largest political groups in the country. - It provides data on the housing market in Southwest California from 2011-2012, showing declines in sales volumes and prices followed by a recovery in 2012. - Charts depict declines in inventory levels in the region from 2010 to 2012, indicating the market was stabilizing.

Business power point templates emoticon of smiling face education symbol sale...

SlideTeam.net

Section 7 practice b

jslloyd23

1. The document contains 16 practice problems involving graphing functions from tables, writing rules, and interpreting graphs. 2. Many of the problems involve graphing linear and quadratic functions based on ordered pairs or tables of x- and y-values. 3. Several problems ask students to analyze how the y-value changes in relation to the x-value based on real-world contexts like high temperatures over a week or threads per inch on screws of different sizes.

6 city report

COMSATS Institute of Information Technology Abbottabad

The document provides an overview of housing market trends in Southwest California from 2009-2010. It includes charts showing: 1) Monthly unit sales across several cities that decreased from early 2009 to early 2010. 2) Median home prices across the same cities that generally decreased or leveled off from early 2009 to early 2010. 3) May 2010 data on housing demand, supply, and sales trends for several cities in the region.

Annual Economic Update By Bny Mellon 5 3 12

KatherineMorris

1) The document discusses portfolio strategies for today's economy and financial markets. It provides an overview of BNY Mellon's leadership in various areas including wealth management and asset management. 2) Historical market returns are presented for various asset classes from 2012 and the past 10 years to provide a performance backdrop. 3) Economic indicators are analyzed showing signs of recovery in the US including improving employment, business and consumer confidence, and reduced household debt levels. Housing remains challenged. 4) Moderate US GDP growth is forecast while the Eurozone faces contracting manufacturing and uncertainty restraining global growth.

The Growing Demand For Statistics

Suhermin Pujiati

The demand for statistics is growing significantly, presenting both challenges and opportunities for statisticians. Traditional users need more detailed information, while new users from various fields are emerging. Globalization and new technologies are driving the need for new indicators and more frequent updates. Statisticians must ensure their data meets high standards for quality, including relevance, coherence, timeliness, interpretability, accessibility, and accuracy. Improving statistical production and literacy is important for satisfying users and being perceived positively.

Business review templates

This document provides templates for business reviews of projects and support activities. It includes templates for overall summaries, project management, risks, finances, and milestones. The templates are organized into sections for general information, projects, and support. Guidance is provided on the intended use and key information for each template to ensure a consistent approach across reviews.

ライフサイエンス統合データベースの課題：権利と法律、技術

Mitsuteru Nakao

Aviation MRO IT: Emergence of SaaS and Convergence of BPO

guesta9496c4

Brandwatch on Social Media at Gorkana's London 2012: Comms Countdown Panel Event

Gorkana

Bayer Presentation at the Cheuvreux German Corporate Conference 2012

Bayer

O potencial inerente do Crowdsourcing e seu uso como ferramenta para negócios...

Marina Miranda

Apresentacao aes eletropaulo_1_t12_sem discurso_eng_final

AES Eletropaulo

Roadmap lean office english

Márcio Alexsandro P Santos

The document provides information on Lean Six Sigma and process improvement. It outlines the 6 steps for process improvements as: 1) identify value to customers, 2) understand current process, 3) identify wastes, 4) find root causes of wastes, 5) draw a high performance process based on lean solutions, and 6) implement actions and manage for perfection. Tools for analysis include value stream mapping, 5Whys, cause and effect diagrams. Key lean solutions discussed are flow, standardization, and quality management. Visual management and daily accountability routines are also covered.

Barclays - 2011 CEO Energy – Power Conference | Almir Barbassa - CFO and Chie...

Petrobras

This document from Barclays provides an overview and disclaimer for a presentation on Barclays' 2011 CEO Energy-Power Conference. It includes the following key points: 1) Barclays operates as an integrated oil company focused on production in deep and ultra-deep waters offshore Brazil. 2) Brazil has seen 1/3 of global oil discoveries over the past 5 years, mostly in deep waters, driving investment and expansion of Brazil's oil and gas supply chain. 3) Barclays plans $224.7 billion in investments from 2011-2015, with 57% in exploration and production as it works to double proved reserves by 2020.

TNR2013 Ron Burt, Network Advantage on How the Network Was Built

Steven Wardell

1. The document analyzes network data from four annual panels on 346 investment bankers to examine how network advantage relates to compensation. 2. Network advantage is measured using network eigenvector centrality and constraint. Regression models show compensation is positively associated with centrality and negatively associated with constraint, both within and between years. 3. Volatility in networks is treated as noise - relations that occur in only one year are weighted less than those that persist across multiple years. Stability in networks is privileged in the analysis to better reveal enduring social clusters and compensation returns to network advantage.

Similar to HBaseCon 2012 | Scaling GIS In Three Acts (20)

Graphs, Edges & Nodes - Untangling the Social Web

SAIA 2012 Presentation

2 comenius survey results balfron

January

March Realtor Update

Business power point templates emoticon of smiling face education symbol sale...

Section 7 practice b

6 city report

Annual Economic Update By Bny Mellon 5 3 12

The Growing Demand For Statistics

Business review templates

ライフサイエンス統合データベースの課題：権利と法律、技術

Aviation MRO IT: Emergence of SaaS and Convergence of BPO

Brandwatch on Social Media at Gorkana's London 2012: Comms Countdown Panel Event

Bayer Presentation at the Cheuvreux German Corporate Conference 2012

O potencial inerente do Crowdsourcing e seu uso como ferramenta para negócios...

Apresentacao aes eletropaulo_1_t12_sem discurso_eng_final

Roadmap lean office english

Barclays - 2011 CEO Energy – Power Conference | Almir Barbassa - CFO and Chie...

TNR2013 Ron Burt, Network Advantage on How the Network Was Built

More from Cloudera, Inc.

Partner Briefing_January 25 (FINAL).pptx

The document discusses using Cloudera DataFlow to address challenges with collecting, processing, and analyzing log data across many systems and devices. It provides an example use case of logging modernization to reduce costs and enable security solutions by filtering noise from logs. The presentation shows how DataFlow can extract relevant events from large volumes of raw log data and normalize the data to make security threats and anomalies easier to detect across many machines.

Cloudera Data Impact Awards 2021 - Finalists

The document outlines the 2021 finalists for the annual Data Impact Awards program, which recognizes organizations using Cloudera's platform and the impactful applications they have developed. It provides details on the challenges, solutions, and outcomes for each finalist project in the categories of Data Lifecycle Connection, Cloud Innovation, Data for Enterprise AI, Security & Governance Leadership, Industry Transformation, People First, and Data for Good. There are multiple finalists highlighted in each category demonstrating innovative uses of data and analytics.

2020 Cloudera Data Impact Awards Finalists

Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.

Edc event vienna presentation 1 oct 2019

The document outlines the agenda for Cloudera's Enterprise Data Cloud event in Vienna. It includes welcome remarks, keynotes on Cloudera's vision and customer success stories. There will be presentations on the new Cloudera Data Platform and customer case studies, followed by closing remarks. The schedule includes sessions on Cloudera's approach to data warehousing, machine learning, streaming and multi-cloud capabilities.

Machine Learning with Limited Labeled Data 4/3/19

Data Driven With the Cloudera Modern Data Warehouse 3.19.19

Introducing Cloudera DataFlow (CDF) 2.13.19

Introducing Cloudera Data Science Workbench for HDP 2.12.19

Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19

Leveraging the cloud for analytics and machine learning 1.29.19

Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19

Leveraging the Cloud for Big Data Analytics 12.11.18

Modern Data Warehouse Fundamentals Part 3

Modern Data Warehouse Fundamentals Part 2

Modern Data Warehouse Fundamentals Part 1

The document discusses the benefits and trends of modernizing a data warehouse. It outlines how a modern data warehouse can provide deeper business insights at extreme speed and scale while controlling resources and costs. Examples are provided of companies that have improved fraud detection, customer retention, and machine performance by implementing a modern data warehouse that can handle large volumes and varieties of data from many sources.

Extending Cloudera SDX beyond the Platform

Federated Learning: ML with Privacy on the Edge 11.15.18

Analyst Webinar: Doing a 180 on Customer 360

Build a modern platform for anti-money laundering 9.19.18

Introducing the data science sandbox as a service 8.30.18