SQL vs NoSQL: 7 Key Takeaways by Alex Williams via @kdnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

I enjoyed reading this thoughtful article. I think it helps to clear up some potential confusion and ensures that you really understand via his careful use of diagrams.

As NoSQL thrives, so does data modelling by Pascal Desmarets via @infomgmt

But a new approach is needed to support agile development.

Here are a couple of useful articles on Agile Data Modelling:

Agile/Evolutionary Data Modelling: From Domain Modelling to Physical Modelling by @scottwambler

and

Fundamentals of Data Modelling in Agile Environments by Jelani Harper

Backing Up Big Data? Chances Are You’re Doing It Wrong by @PeterSmails via @datanami

The increasing pervasiveness of social networking, multi-cloud applications and Internet of Things (IoT) devices and services continues to drive exponential growth in big data solutions.

I like that this contains two case studies and it makes perfect sense. You need to make sure that backups and recovery and always included in a big data project and that you treat it as a big data project not just a "normal" database.

WEBINAR: Graph-based MDM: Why relational DBMS aren't relational enough - 25 April 2017

Web Seminar  Graph-based MDM: Why relational DBMS aren't relational enough

Apr. 25, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

Success increasingly depends on your ability to discern customer needs, preferences, and buying behaviors through data that’s ever more diverse and voluminous. MDM is supposed to help you with this digital transformation. But conventional MDM may not deliver the full contextual insight your business stakeholders need.

Attend this eye-opening webinar to learn how graph/NoSQL databases dramatically enhance MDM—empowering you to out-analyze, out-decide, and out-innovate the competition.

Our expert MDM thought-leaders will show you:

• How graph/NoSQL models uncover complex, subtle relationships between disparate data
• Why less MDM structure can yield major advantages in analytics and decision-making
• How graph technology can reduce your need for high-cost data science skills

Don’t get left behind as MDM technology keeps evolving to meet the relentlessly growing data demands of the digital enterprise. Sign up today!

Featured Presenters:

Moderator: Lenny Leibmann Contributing Editor SourceMedia

Sponsored By:



Register here

WEBINAR: Nielsen Marketing Cloud webinar: online machine learning & predictive personalisation - 20 September 2016

Tuesday, September 20, 2016
11:00 am PT | 2:00 pm ET

Learn how Nielsen Marketing Cloud leverages online machine learning and predictive personalization to drive its success

Advertising starts with knowing individual user profiles, but successful advertising requires knowing audiences. Nielsen Marketing Cloud has long been a pioneer in bringing actionable algorithms and data to bear on the world of online experiences and advertising.

A key component of Nielsen Marketing Cloud’s technical architecture is the Aerospike NoSQL database. Initially, it was used to store user profiles and campaign data; now, it also includes machine learning models, which allow adaptive audience intelligence.

Attend this live webinar and hear from Kevin Lyons, Senior Vice President of Data Science and Digital Technology, and Brent Keator, Vice President of Infrastructure – both from Nielsen Marketing Cloud - as well as Brian Bulkowski, CTO and Co-Founder at Aerospike, as they describe the front-edge architecture and technical choices that have led to Nielsen Marketing Cloud’s success. Topics will include:

• The online machine learning stack
• Predictive personalization
• Technical lessons that can be applied to digital transformation projects across many industries

Meet the speakers:

Kevin Lyons Senior VP Data Science, Digital Technology   Nielsen Marketing	Brent Keator  VP, Infrastructure  Nielsen Marketing Cloud	Brian Bulkowski          CTO and Co-Founder          Aerospike

Register here

How to Become a (Type A) Data Scientist by Ajit Jaokar,via @kdnuggets

This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.

I found this really interesting.

SLIDESHOW: 100 Best Practices in Big Data – Non-Relational Data Stores via @infomgmt

The Cloud Security Alliance has released its report on the 100 Best Practices in Big Data Security and Privacy. As the Alliance notes, “Non-relational data stores such as NoSQL databases typically have very few robust security aspects embedded in them. Solutions to NoSQL injection attacks are not yet completely mature...

I particularly like slide 8 (there are only 11 so don't worry about the 100 title)

Big Data, Big Growth, Big Promises by Jennifer Adams via @infomgmt

We expect non relational databases to be the fastest-growing sector within big data management solutions. We forecast that NoSQL will grow 25.0% and Hadoop will grow 32.9% annually over the forecast period.

Proof that relational databases are on the way out in they popularity stakes.

WEBINAR: Modern infrastructure with NoSQL and containers - 31 August 2016

 

Modern infrastructure with NoSQL and containers

DATE: Wednesday, August 31, 2016

TIME: 1:00PM EDT | 10:00AM PDT

The best way to deploy and scale a NoSQL database is with elastic infrastructure, with containers being one of the most efficient platforms – deployed on-premise or in the cloud. In this webinar, we’ll discuss how development and operations teams can benefit from running NoSQL databases on containers, as well as the options for doing so.

We will discuss how running NoSQL on containers:

• Improves business agility
• Increases developer productivity
• Simplifies deployment and scaling

And, we will highlight options for running a NoSQL database with:

• Docker Swarm, Docker Machine, and Docker Compose
• Docker on Kubernetes or Apache Mesos (DC/OS)
• Docker on AWS, Azure, Google Cloud

FEATURED SPEAKER:

Shane K Johnson

Manager of Product Marketing, Couchbase

Register here

7 Steps to Understanding NoSQL Databases by Matthew Mayo via @kdnuggets

Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.

This is incredibly useful and a great overview.  Recommended.

Key Skill Sets for the Next Gen Big Data Analysts via @suyatitech

Key Skill Sets for the Next Gen Big Data Analysts by Uma Chellappa via +Suyati, Inc  - An aspiring Big Data analyst needs to have a mix of technical and non-technical skills to be able to convert data into meaningful data.

Useful blog that gives a good starting point.

Study Reveals 'Massive' Skills Gap for NoSQL, Apache Cassandra Pros via @infomgmt

Study Reveals 'Massive' Skills Gap for NoSQL, Apache Cassandra Pros by Bob Violino via +Information Management  - DataStax surveyed more than 250 members of its DataStax Academy, and found increasing demand for NoSQL database experts, specifically those trained on Apache Cassandra.

A good indication of areas to study.

Is my developer team ready for big data? via @oreilly

Is my developer team ready for big data? by Jesse Anderson via +O'Reilly  - Big data and NoSQL technologies represent dramatic shifts in complexity compared to the technologies that came before. Do your team members have the skills to evaluate options, create the solution, and troubleshoot problems? Jesse Anderson provides a business leader’s guide to launching big data projects.

Great article and provides a starting point to avoid problems.

WEBINAR: Using Databases and Containers: From Development to Deployment - 24 February 2016

 


DATE: Wednesday, February 24, 2016

TIME: 1:00PM ET

In this talk we review what Docker is and why it's important to Developers, Admins and DevOps when they are using a NoSQL Database such as Aerospike, the high performance NoSQL Database. Persistence is a critical element for a successful multi-Container strategy.

We also cover the following topics:

• Using Docker to Orchestrate a multi container application (Flask + Aerospike)
• Injecting HAProxy and other production requirements as we deploy to production
• Scaling the Web and Aerospike clusters to grow to meet demand

This presentation led by Alvin Richards, VP of Product at Aerospike includes an interactive demo showcasing the core Docker components (Machine, Engine, Swarm and Compose) along with Aerospike’s integration. We hope you will see how much simpler Docker can make building and deploying multi-node Aerospike based applications.

Register here

Get ignited with Apache Spark – Part 1 via @kumarchinnakali

Great article containing an overview of Spark and it's components from Kumar Chinnakali on Big Data Made Simple. Well worth a read to refresh yourself if nothing else. Make sure you return to get the next part from him.

WEBINAR: Three Things You Need to Know About Document Data Modeling in NoSQL - 12 November 2015

Three Things You Need to Know About Document Data Modeling in NoSQL

DATE: Thursday, November 12, 2015

TIME: 1PM ET

We’re all familiar with modeling data the relational way. When we move to a document database we need to think about things a little differently. In this webinar, we’ll show you how to best plan, model and maintain your data using a NoSQL document database.

Join Matthew Revell, Dir. Developer Advocacy at Couchbase, as he takes you through some brand new NoSQL capabilities that will allow you more flexibility when modeling your data including:

• Basic hygiene for modelling sustainable JSON documents
• Creating manual secondary indexes
• Automating secondary indexing with views
• Modelling documents for the best level of query-ability

FEATURED SPEAKER:

Matthew Revell

Dir. Developer Advocacy, Couchbase

Register here

WEBINAR: Don’t Be Frightened by Moving to NoSQL - 22 October 2015

Sponsored by

Don’t Be 

Frightened by Moving to 

NoSQL

Thursday, October 22, 2015
10:00am PT | Show Timezones...

Presented by: Peter Milne

Duration: Approximately 60 minutes.

Cost: Free

Register here

WEBINAR: How LinkedIn Scales NoSQL for 300 Million+ Users - 28 September 2015

How LinkedIn Scales NoSQL for 300 Million+ Users

Complimentary Web Seminar
September 28, 2015
2 PM ET/11 AM PT
Brought to you by Information Management

LinkedIn has more than 300 million members around the world, generating massive amounts of user activity – all of which needs to be logged, monitored, and analyzed.

To successfully manage all of this data, their database needs to be fast and scale quickly on-demand and LinkedIn’s legacy storage systems proved difficult to keep up with such demands. A strong caching technology was crucial for LinkedIn to provide the performance its users required.

This Information Management webcast, featuring Shane Johnson of Couchbase, will dive intoLinkedIn’s use of a high-performing, scalable database that powers their metric visualization engine, ultimately delivering 400K operations/second on just four server nodes.

In this webinar, you’ll learn:

• The six key requirements companies like LinkedIn look at when using a high-performance, low-cost caching technology
• Advantages and disadvantages of common solutions, including Oracle Coherence and memcached
• How to implement and deploy a caching technology within your existing environment

Featured Presenters:

Register here

The Rise of NoSQL via @infomgmt

The continual increase in unstructured big data from the Internet of Things, the changeable requirements for developing successful mobile apps and the trend for user-generated content are paving the way for NoSQL databases to prove their value.

Good blog from Information Management

WEBCAST: Big Data Architecture Patterns

This talk focuses on the real world experience on the architectural patterns and tools integrations used to solve real business problems with data. This will be a technical session that covers tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we will dive into customer architectures and where they have had both successes and failures using a combination of tools to serve both OLTP and OLAP workloads. Some of the successes will include large cost reduction in SQL licensing and SAN as well as reduction in overall data warehouse costs including ETL appliances and manpower. The other core focus will be on driving change into businesses and how these customers were able to become leaders or maintain leadership using the data at hand and a set of tools.  From Bharath's blog on Mytechlogy.