How to Choose a Data Warehouse

•Download as PPTX, PDF•

0 likes•110 views

Everyone is moving their data to the cloud - but with all the different choices for a cloud based data warehouse, how do you know which one to choose? How do you know which warehouse will be the best and most flexible for your needs? In this webinar learn: - Why and what is a data warehouse - do you even need one? - The best criteria when evaluating which data warehouse to choose - What problems a data warehouse solves - What is “Big Data” and how does this provide business value - How Matillion can help you work with your data in your data warehouse of choice

Technology

1
www.matillion.com
© 2017 Matillion. All rights reserved.
Presented by:
Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or
service marks are property of their respective owners. 10/10/2017
How to choose a Data Warehouse
Tuesday, January 30th, 12pm EST
Joe Steadman and Ian Funnell

2
www.matillion.com
© 2017 Matillion. All rights reserved.
Agenda
• How to choose a Data Warehouse?
• Why and What is a Data Warehouse? Do you even need one?
• Data Warehouse technologies
• Who are Matillion? Why this webinar?
• Demo
• Q&A

3
www.matillion.com
© 2017 Matillion. All rights reserved.
Evaluation Criteria
• Core interfaces and batch functionality
• Operational
• Information Security
• Pricing model, cost

4
www.matillion.com
© 2017 Matillion. All rights reserved.
What’s the Problem?

5
www.matillion.com
© 2017 Matillion. All rights reserved.
Big Data
Volume
Variety
Velocity
Value

6
www.matillion.com
© 2017 Matillion. All rights reserved.
What actually is a Data Warehouse?
Subject oriented
Integrated
Non-volatile
Time variant
Copy

7
www.matillion.com
© 2017 Matillion. All rights reserved.
Subject Oriented

8
www.matillion.com
© 2017 Matillion. All rights reserved.
Integrated

9
www.matillion.com
© 2017 Matillion. All rights reserved.
Non-volatile

10
www.matillion.com
© 2017 Matillion. All rights reserved.
Time Variant

11
www.matillion.com
© 2017 Matillion. All rights reserved.
"Data Warehouse" for "Big Data"?
The same considerations apply..

12
www.matillion.com
© 2017 Matillion. All rights reserved.
Data Warehouse technologies
MPP vs SMP
Columnar vs Row-oriented
On-prem vs Cloud

13
www.matillion.com
© 2017 Matillion. All rights reserved.
MPP vs SMP

14
www.matillion.com
© 2017 Matillion. All rights reserved.
Columnar vs Row-oriented

15
www.matillion.com
© 2017 Matillion. All rights reserved.
On-Prem vs Cloud hosted

16
www.matillion.com
© 2017 Matillion. All rights reserved.
Who are Matillion? Why this webinar?
Matillion ETL for Amazon Redshift
Matillion ETL for Snowflake
Matillion ETL for Google BigQuery
Data acquisition
Data transformation

17
www.matillion.com
© 2017 Matillion. All rights reserved.
Demonstration

18
www.matillion.com
© 2017 Matillion. All rights reserved.

19
www.matillion.com
© 2017 Matillion. All rights reserved.
Presented by:
Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or
service marks are property of their respective owners. 10/10/2017
Thank You
Joe Steadman and Ian Funnell

Companies are moving their data into the cloud at an astounding rate—and they are faced with more data warehousing options than ever before. With such a wealth of solutions to choose from, it can be tough to figure out which cloud-based data warehouse best suits your needs. In this webinar, we review data warehouses in detail and offer practical tips on how to choose the right one for your business. Learn: - What a data warehouse is, and why you may need one - The problems solved by data warehouses - What criteria to use when choosing a data warehouse - How Matillion can help you work with the data in your warehouse of choice

Lets Talk Google BigQuery

Matillion

Google BigQuery is one of the largest, fastest, and most capable cloud data warehouses on the market. In this webinar, we review BigQuery best practices and show you how Matillion ETL can help you get the most out of the platform to gain a competitive edge. In this webinar: - Discover how to work quickly and efficiently with Google BigQuery - Find out the best ways to monitor and control costs - Hear tips and tricks for loading and transforming massive amounts of data in BigQuery with Matillion ETL - Get expert advice on improving your performance in BigQuery for quicker data analysis - Learn how to optimize BigQuery for your marketing analytics needs

Reach New Heights with Amazon Redshift

Matillion

Parallel processing, columnar structure, and petabyte scaling make Amazon Redshift a powerful data warehousing platform. Get the full value of your company's analytics with Amazon Redshift and Matillion ETL. - Get an overview of the latest Amazon Redshift features - Find out how massive amounts of data can be loaded in a matter of minutes with Matilion ETL - Learn best practices for cloud data warehousing with Amazon Redshift Matillion ETL is the fastest, easiest, and most efficient way to leverage these benefits and achieve the full potential of your business.

ELT is Better. Here's Why.

Matillion

The demand for speed in data loading and transformation has never been greater—companies that can’t keep up will be left behind. Traditional ETL is being outpaced by cloud-native ELT tools which are both faster and more efficient. In this webinar, we examine the differences between ETL and ELT, and explain what they mean for your data and your business. - Learn what makes ELT different from traditional ETL - See how a modern ELT architecture outperforms ETL - Explore how the latest trends in ELT technology affect your business - Discover how Matillion’s ELT solutions can help you quickly load and transform massive amounts of data

Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...

Matillion

the7Stars, the leading UK Digital Marketing agency, has global clients ranging from Nintendo to Suzuki to Iceland. With growing data volumes, the7Stars faced the challenge of centralizing all their customers’ marketing data for quick and easy analysis. In this joint webinar, you will hear about how the7Stars are using Google BigQuery as their data warehouse collating data from many different sources, allowing them to grow their business and attract new customers. the7Stars is also using Matillion ETL to combine the data from different sources and load it all into BigQuery enabling agile and responsive market analysis giving their clients a competitive edge, while saving time and money. In this webinar learn: - the7Stars’ data journey for maximizing value - Google BigQuery, BigQuery Data Transfer Service and best practices for marketing analytics - How to collect data from different sources and streamline transformations and queries in Google BigQuery with Matillion ETL - Benefits being actualized by 7 Stars, such as saving time/money and growing their customer base Watch the full webinar: https://youtu.be/8VEHf_wAXao

Using ELT to load 1 Billion Rows of Data in 15 Minutes

Matillion

Matillion ETL, which uses push-down ELT, is the fastest way to build end-to-end, production-ready big data stacks in Amazon Redshift, Google BigQuery, and Snowflake. Watch us create a finished fact table in fifteen minutes using one billion rows of data from multiple source systems—live. Watch the webinar to - Learn how to process big data faster with Matillion ETL. - Learn how to leverage Matillion ETL for Amazon Redshift, - Google BigQuery, and Snowflake - Find out how Matillion ETL makes loading and preparing massive amounts of data easier and more efficient - Discover how brands like GE, Converse, and Docusign use Matillion ETL to deliver low-cost, high-powered data solutions

ELT vs. ETL - How they’re different and why it matters

Matillion

ELT is a fundamentally better way to load and transform your data. It’s faster. It’s more efficient. And Matillion’s browser-based interface makes it easier than ever to work with your data. You’re using data to improve your world: shouldn’t the tools you use return the favor? In this webinar: - Explore the differences between ELT and ETL - Learn why ELT is a better, more modern process - Discover the latest trends in ELT and how they apply to your business - Find out how Matillion ETL makes loading large amounts of data easier

Dive Into Data Lakes

Matillion

Data lakes are changing the way we store and process data. In this webinar, Matillion explores data lakes in detail: what they are, how they function, and how you can leverage them to benefit your business. Watch the webinar to - Learn the differences between data lakes and data warehouses - Get tips for building a data lake in the cloud - See real-world use cases for data lakes in Amazon Redshift, Google BigQuery, and Snowflake - Find out how Matillion ETL can help you with your data lake strategy

As companies grow, so does the volume of their data. Without the proper solutions in place to quickly store, measure and analyze that data, its usefulness quickly declines. See our latest webinar to learn about how companies are increasingly turning towards cloud-based data warehousing to derive more value out of their data and apply their findings to make smarter business decisions. The webinar covers core topics including: - The benefits of using Snowflake’s unique architecture for interacting with data. - How Matillion can help you quickly load and transform your data to maximize its value. - Expert advice on how to apply data warehousing and ETL best practices. Watch the full webinar: https://youtu.be/mIOm3j431OQ

Get Savvy with Snowflake

Matillion

In this webinar you'll learn how to quickly and easily improve your business using Snowflake and Matillion ETL for Snowflake. Webinar presented by Solution Architects Craig Collier (Snowflake) adn Kalyan Arangam (Matillion). In this webinar: - Learn to optimize Snowflake and leverage Matillion ETL for Snowflake - Discover tips and tricks to improve performance - Get invaluable insights from data warehousing pros

Google BigQuery Best Practices

Matillion

In this webinar you'll learn about the best practices for Google BigQuery—and how Matillion ETL makes loading your data faster and easier. Find out from our experts how to leverage one of the largest, fastest, and most capable cloud data warehouses to improve your business and save money. In this webinar: - Discover how to work fast and efficiently with Google BigQuery - Find out the best ways to monitor and control costs - Learn to leverage Matillion ETL and optimize Google BigQuery - Get tips and tricks for better performance

Snowflake Company Presentation

AndrewJiang18

Altis Webinar: Use Cases For The Modern Data Platform

Altis Consulting

Quick Intro to Google Cloud Technologies

Chris Schalk

Data Sharing with Snowflake

Snowflake Computing

Every day, businesses across a wide variety of industries share data to support insights that drive efficiency and new business opportunities. However, existing methods for sharing data involve great effort on the part of data providers to share data, and involve great effort on the part of data customers to make use of that data. However, existing approaches to data sharing (such as e-mail, FTP, EDI, and APIs) have significant overhead and friction. For one, legacy approaches such as e-mail and FTP were never intended to support the big data volumes of today. Other data sharing methods also involve enormous effort. All of these methods require not only that the data be extracted, copied, transformed, and loaded, but also that related schemas and metadata must be transported as well. This creates a burden on data providers to deconstruct and stage data sets. This burden and effort is mirrored for the data recipient, who must reconstruct the data. As a result, companies are handicapped in their ability to fully realize the value in their data assets. Snowflake Data Sharing allows companies to grant instant access to ready-to-use data to any number of partners or data customers without any data movement, copying, or complex pipelines. Using Snowflake Data Sharing, companies can derive new insights and value from data much more quickly and with significantly less effort than current data sharing methods. As a result, companies now have a new approach and a powerful new tool to get the full value out of their data assets.

Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...

Tyler Wishnoff

Data at the corner of SAP and AWS

Ocean9, Inc.

Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button. What does it mean for the IT architecture of an enterprise? How to stay in control in a super agile world? Listen to the full webcast here: http://bit.ly/2fkBJle

Event Sponsor NetApp - CSO- Jon Kissane

Hostway|HOSTING

Bigquery 101

Cesar Orozco Manotas

About Pragmatic Works

MILL5

Webinar: Which Storage Architecture is Best for Splunk Analytics?

Storage Switzerland

AWSome Data Visibility with Information Map

Veritas Technologies LLC

Presentation by Bart Gielen (DataSense) at the Data Vault Modelling and Data ...

Patrick Van Renterghem

DataSense is, together with the internal team, implementing a new Enterprise Data Warehouse (EDW) at Bank Degroof Petercam. The goal of the EDW is to integrate and historicize all changes of data of the Belgian and Luxembourg entities in the medium term and also those of the for the other entities in the long term. All of this complying with and respecting regulations (legal reporting) and service obligations (tax certificates, reports, taxes on funds, return on portfolio, ...). The implementation is done according to the principles of Data Vault 2.0 and automation of the RAW Data Vault layer. For this purpose they use Talend (Enterprise Open Source data integration platform), Vaultspeed (Data Vault Automation) and Oracle (db platform).

Scality medical imaging storage

Scality

Cs2017 gary allemann presentation

Gary Allemann

Providing Interactive Analytics on Excel with Billions of Rows

Tyler Wishnoff

Couchbase & HPCC Systems – A complete mobile & data platform in the enterprise

HPCC Systems

From the 2017 HPCC Systems Community Day: “What is your mobile strategy?” More and more organizations are seeing mobile becoming mission critical to their business. End users are wanting a more complete experience that is always on and available. This new way of engaging with user is creating a constant data stream. How can we leverage this data to provide users that great experience? In this presentation, you’ll see how with Couchbase & HPCC Systems can help you accomplish this goal by letting you: • Consolidate your technology stack • Scale to your future needs • Be fast & flexible Fujio Turner Solutions Architect, Couchbase Fujio Turner is a Couchbase Solutions Architect for Mobile, and specializes in high-speed data platforms. He began his IT career as a LAMP stack developer and soon became a MySQL developer and DBA. His attention turned to the high availablilty NoSQL systems of CouchDB/Couchbase in 2010. With his personal philosophy, “In the future, there will be more data, not less,” HPCC Systems was a perfect fit for him. In his spare time, he evangelizes HPCC Systems in the Silicon Valley area with the Meetup group, “Exabyte Big Data – HPCC Systems – Silicon Valley.” His list of current and future projects include 3DJSON and Virtual Reality and Big Data.

How to accelerate Splunk analytics

ClearSky Data

Axios Systems assyst RUG2017 - Digital Transformation: Keeping pace with the ...

Axios Systems

Hadoop 2015: what we larned -Think Big, A Teradata Company

DataWorks Summit

What's hot

Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...

Matillion

Get Savvy with Snowflake

Matillion

Google BigQuery Best Practices

Matillion

Snowflake Company Presentation

AndrewJiang18

Altis Webinar: Use Cases For The Modern Data Platform

Altis Consulting

Quick Intro to Google Cloud Technologies

Chris Schalk

Data Sharing with Snowflake

Snowflake Computing

Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...

Tyler Wishnoff

Data at the corner of SAP and AWS

Ocean9, Inc.

Event Sponsor NetApp - CSO- Jon Kissane

Hostway|HOSTING

Bigquery 101

Cesar Orozco Manotas

About Pragmatic Works

MILL5

Webinar: Which Storage Architecture is Best for Splunk Analytics?

Storage Switzerland

AWSome Data Visibility with Information Map

Veritas Technologies LLC

Presentation by Bart Gielen (DataSense) at the Data Vault Modelling and Data ...

Patrick Van Renterghem

Scality medical imaging storage

Scality

Cs2017 gary allemann presentation

Gary Allemann

Providing Interactive Analytics on Excel with Billions of Rows

Tyler Wishnoff

Couchbase & HPCC Systems – A complete mobile & data platform in the enterprise

HPCC Systems

How to accelerate Splunk analytics

ClearSky Data

What's hot (20)

Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...

Get Savvy with Snowflake

Google BigQuery Best Practices

Snowflake Company Presentation

Altis Webinar: Use Cases For The Modern Data Platform

Quick Intro to Google Cloud Technologies

Data Sharing with Snowflake

Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...

Data at the corner of SAP and AWS

Event Sponsor NetApp - CSO- Jon Kissane

Bigquery 101

About Pragmatic Works

Webinar: Which Storage Architecture is Best for Splunk Analytics?

AWSome Data Visibility with Information Map

Presentation by Bart Gielen (DataSense) at the Data Vault Modelling and Data ...

Scality medical imaging storage

Cs2017 gary allemann presentation

Providing Interactive Analytics on Excel with Billions of Rows

Couchbase & HPCC Systems – A complete mobile & data platform in the enterprise

How to accelerate Splunk analytics

Similar to How to Choose a Data Warehouse

Axios Systems assyst RUG2017 - Digital Transformation: Keeping pace with the ...

Axios Systems

Hadoop 2015: what we larned -Think Big, A Teradata Company

DataWorks Summit

Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...

DataKitchen

Securing Solr Search Data in the Cloud

Sameer Maggon

Apache Solr is a highly scalable, open source search technology that makes it easy for organizations to deliver core search, recommendations or business intelligence applications. In Solr today, if you have to store and provide search against confidential data, you are on your own on trying to figure out how to protect that data from being encrypted at rest, during transport or to prevent a rogue employee or third party having access to that sensitive data. In this talk, you will learn about how you can keep the search index secure and provide key based encryption that ensures that your sensitive data is protected at all levels and your Solr application meets compliance requirements.

Don’t Choose One Database Choose Them All!, Capgemini

Neo4j

10 reasons why you should choose big data hadoop as career in 2018

JanBask Training

Securing Search Data in the Cloud

SearchStax

IDEA 2020

IDEA (Industry Data Exchange Assc., Inc.)

Hear from our executive team about: key developments in the industry focusing on data quality, internationalization, and business intelligence; recent accomplishments in Standards and key upcoming projects; IDW platform update including an outline of the next generation platform's new features, and the schedule for roll out; an introduction to the powerful features of the new IDX platform and transition schedule; and a summary of IDEA’s roadmap in the coming years.

O365Engage17 - Black belting office 365 security with secure score

NCCOMMS

A Sea Change is Coming to Patent Analytics - Brought to You by Big Dataatripper

ICIC 2013 Conference Proceedings Tony Trippe Patinformatics

Dr. Haxel Consult

Using IBM's Many Eyes for Generating Valuable Patent Analytics Insights Tony Trippe (Patinformatics, USA) PAIR (Patent Application Information Retrieval) is the US Patent and Trademark Office's Registry system for sharing information on the prosecution of patent applications. The information contained in the system can be used to research patent documents to determine their value. In this presentation a tab by tab walk-through of the site will be provided. Specific sections and pieces of data provided on the site will be highlighted and their role in determining the potential value of a patent document will be explained. In addition a means for collecting, organizing and presenting a summary of Public PAIR data, provided by Google, will be discussed.

Data Analytics in Cyber Security

DNIF

Data Analytics in Cyber Security

Siddhant Mishra

Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE

Matt Stubbs

Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 11:50 - 12:20 Speaker: Matt Pepper Organisation: MIcroStretegy About: In this session, Matt Pepper will demonstrate how MicroStrategy enables an Enterprise to provide: • Governed Data Discovery at scale • Freedom for departments to build applications whilst remaining compliant • The capability to link disparate data into a cohesive platform • The right information to the right person, in the right format, at the right time

Unit 1 (DSBDA) PD.pptx

Samiksha880257

A Sea Change is Coming to Patent Analytics - Brought to You by Big Data

atripper

Making big data work

Ed Thewlis

Introduction to Big Data

Karan Desai

This presentation introduces concepts of Big Data in a layman's language. Author does not claim the originality of the content. The presentation is made by compiling from various sources. Author does not claim copyrights or privacy issues. Big data is exponentially rising in today's age of information and digital shrinkage. This presentation potentially clears the concept and revolving hype around it.

Top BI trends and predictions for 2017

Panorama Software

Talent42 2017: Building the Best Recruiting Tech Stack - Nick Mailey and Will...

Talent42

Similar to How to Choose a Data Warehouse (20)

Axios Systems assyst RUG2017 - Digital Transformation: Keeping pace with the ...

Hadoop 2015: what we larned -Think Big, A Teradata Company

Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with d...

Securing Solr Search Data in the Cloud

Don’t Choose One Database Choose Them All!, Capgemini

10 reasons why you should choose big data hadoop as career in 2018

Securing Search Data in the Cloud

IDEA 2020

O365Engage17 - Black belting office 365 security with secure score

A Sea Change is Coming to Patent Analytics - Brought to You by Big Data

ICIC 2013 Conference Proceedings Tony Trippe Patinformatics

Data Analytics in Cyber Security

Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLE

Unit 1 (DSBDA) PD.pptx

A Sea Change is Coming to Patent Analytics - Brought to You by Big Data

Making big data work

Introduction to Big Data

Top BI trends and predictions for 2017

Talent42 2017: Building the Best Recruiting Tech Stack - Nick Mailey and Will...

Recently uploaded

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

FIDO Alliance

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Ramesh Iyer

In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

Jeffrey Haguewood

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Key Trends Shaping the Future of Infrastructure.pdf

Cheryl Hung

IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx

Abida Shariff

The Future of Platform Engineering

Jemma Hussein Allen

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

FIDO Alliance

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

Paul Groth

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth K V

The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development. The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers: State of global ICS asset and network exposure Sectoral targets and attacks as well as the cost of ransom Global APT activity, AI usage, actor and tactic profiles, and implications Rise in volumes of AI-powered cyberattacks Major cyber events in 2024 Malware and malicious payload trends Cyberattack types and targets Vulnerability exploit attempts on CVEs Attacks on counties – USA Expansion of bot farms – how, where, and why In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East Why are attacks on smart factories rising? Cyber risk predictions Axis of attacks – Europe Systemic attacks in the Middle East Download the full report from here: https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

DevOps and Testing slides at DASA Connect

Kari Kakkonen

Recently uploaded (20)

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

UiPath Test Automation using UiPath Test Suite series, part 3

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

Connector Corner: Automate dynamic content and events by pushing a button

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

JMeter webinar - integration with InfluxDB and Grafana

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

Key Trends Shaping the Future of Infrastructure.pdf

IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx

The Future of Platform Engineering

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

Assuring Contact Center Experiences for Your Customers With ThousandEyes

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Epistemic Interaction - tuning interfaces to provide information for AI support

DevOps and Testing slides at DASA Connect

How to Choose a Data Warehouse

1. 1 www.matillion.com © 2017 Matillion. All rights reserved. Presented by: Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or service marks are property of their respective owners. 10/10/2017 How to choose a Data Warehouse Tuesday, January 30th, 12pm EST Joe Steadman and Ian Funnell

2. 2 www.matillion.com © 2017 Matillion. All rights reserved. Agenda • How to choose a Data Warehouse? • Why and What is a Data Warehouse? Do you even need one? • Data Warehouse technologies • Who are Matillion? Why this webinar? • Demo • Q&A

16. 16 www.matillion.com © 2017 Matillion. All rights reserved. Who are Matillion? Why this webinar? Matillion ETL for Amazon Redshift Matillion ETL for Snowflake Matillion ETL for Google BigQuery Data acquisition Data transformation

19. 19 www.matillion.com © 2017 Matillion. All rights reserved. Presented by: Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or service marks are property of their respective owners. 10/10/2017 Thank You Joe Steadman and Ian Funnell

How to Choose a Data Warehouse

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to How to Choose a Data Warehouse

Similar to How to Choose a Data Warehouse (20)

Recently uploaded

Recently uploaded (20)

How to Choose a Data Warehouse