Extending the Value of Hadoop and Spark with a Cloud-based Managed Service

With the growth of data and the focus on becoming more data-driven, many organizations have turned to Apache Hadoop and Apache Spark as their big data and analytics framework to store and process their data. While the solutions are quite powerful, to effectively manage a constantly evolving infrastructure that must continue to meet the demands of a modern business, it can quickly become a logistical and administrative nightmare. With the understanding that organizations have plans to adopt cloud technology and one of the top use cases for existing IaaS and PaaS users is for data analytics, the idea of leveraging an Hadoop- and Spark-based managed service in the cloud is quite appealing.

Topics: Data Management Google Next analytics

Google NEXT - Democratizing Analytics and Artificial Intelligence

Going into Google NEXT, I expected announcements across the entire cloud business. Between their recent (positive) financials, customer traction and (more importantly) growth, and a rapidly expanding list of offerings and managed services, I expected announcements to focus on what I view as their areas of differentiation: foundational built-in security by design, commitment to open-source technologies in their own and across clouds, core AI and ML solutions and services that are embedded/ integrated across GCP services, and easy-to-use cloud-native collaboration products in GSuite. While I’ll let my colleagues share their thoughts on security, mobility/devices, and dev/ops, I’ll be focusing my recap on analytics, artificial intelligence, and machine learning.

Topics: IoT Data Management machine learning artificial intelligence Google Next

Actifio Highlights the Value of Data at Data Driven 2018

I recently went to Actifio Data Driven 2018, Actifio's global user conference held at the Fontainebleau Miami Beach. At Data Driven, Actifio's customers and partners showcased how and why they use Actifio solutions. I had a number of key takeaways from the conference.

Actifio clearly understands the value and importance of data. This was not just another data protection company adopting the term "Data Management" to frame themselves as more than just backup and recovery. Data Driven 2018 demonstrated that Actifio understands that the value comes from how customers use the data, not just that the data is made available. In session after session and customer meeting after customer meeting, I saw how customers and partners discussed the uses of the data made available by Actifio. I was impressed by the real-world benefits that were highlighted by everyone.

Topics: Data Protection Data Management Systems Management

Discovering Odaseva Data Management-as-a-service: Salesforce Backup, Archive, and GDPR

Salesforce has become pervasive as the cloud-based CRM solution of choice in many enterprises, yet its backup, restoration, archiving, and management of data in general can be complex and expensive. We recently met with a very interesting player in this space: Odaseva. The company offers a Salesforce-only third-party solution that builds on the Salesforce APIs to deliver more predictable and robust SLAs for data-management-as-a-service, including some new capabilities focused on meeting the GDPR challenges.  

Topics: Data Protection Data Management software-as-a-service (SaaS) GDPR

Talking Data Analytics (ESG 360 Video Series)

In this installment of ESG's 360 Video Series, "Talking Technology," Mike Leone offers his insights into data analytics - it being a popular, almost prerequisite, term these days in any IT corporate or product pitch...its frequency often only matched by a paucity of understanding!

Mike points out that the capability of data analytics is to not only make IT itself better (more productive, for instance) but to allow IT to support better operations (such as using insights to make previously unseen opportunities manifest). In an IT world - indeed simply a world! - that is increasingly data-driven, Mike explains how data analytics is not only an integral part of the emerging data platforms space, but can also be deployed in/from/with the cloud.

Topics: Data Management ESG 360 Video Series

Accelerating to a Data-centric Architecture with Pure Storage

Having taken a few days break from the color orange, I’m ready to share my thoughts on Pure Accelerate. The show started with Pure Storage CEO Charlie Giancarlo talking about stools, with the three legs of a stool representing the core components of the data center: compute, networking, and storage. We were left with a new Pure vision anchored in storage, but focused on more than storage: a data-centric architecture that addresses the simplicity, agility, and performance requirements of the modern business. 

Topics: Storage Data Management artificial intelligence Pure Accelerate

Delivering on the Promise of AI and ML at Dell Technologies World 2018

We’re off and running at DTW 2018. As expected, there’s been a whole slew of announcements, but for this blog I’ll be focusing on data analytics, specifically AI and ML. Dell EMC is starting to weave a very effective story across all of their product lines, between their server, storage, and workstation divisions, their Ready Solutions, and Services (think pillars of the modern data center).

Topics: Data Management machine learning artificial intelligence Dell Technologies World

Amazon Throws Its Hat Into the Blockchain Ring

If you haven’t been paying attention, welcome to the year of blockchain. It was only a matter of time until the next big hyperscaler announced a blockchain service offering. There’s IBM with Hyperledger, Microsoft, Oracle, and now AWS has some skin in the game.

Late last week, Amazon announced AWS Blockchain Templates with a goal of simplifying the deployment and management of customized blockchains. Start by selecting the underlying blockchain technology – either Ethereum or Hyperledger – and instantly deploy and customize. You can selecte the type of consensus algorithm, set access controls (think private blockchain), and create applications with smart contracts. And being AWS, you have the ability to easily manage and monitor the service, as well as leverage the on-demand resource capabilities, meaning you only pay for what you consume when you consume it.

Topics: IBM Microsoft Data Management Amazon AWS Blockchain

Blockchain Progresses in the Enterprise IT Space (Video)

As blockchain continues to progress outside of cryptocurrencies and into the enterprise IT space, organizations are beginning to look for ways to leverage the benefits of blockchain. Let me stop right there. You’re probably thinking, “What benefits? It’s just Bitcoin.” While Bitcoin gets the headlines, as it should since it’s the top use case within the financial vertical and has a massive consumer-based following, blockchain is so much more than Bitcoin. It’s truly disruptive technology that will enable organizations to recognize massive efficiency gains and cost savings across all verticals, from communications & media, and transportation & logistics to business services and retail. Check out my video below where I talk about the top reasons why blockchain should matter to you.

Topics: IBM Microsoft Cybersecurity Data Management infrastructure Blockchain

Is It Too Late For Oracle to Enter the Cloud Analytics Space?

So Oracle has officially entered the cloud analytics space. Building off the announcement at Oracle Open World last fall, yesterday they officially released their autonomous data warehouse for the cloud. And it’s a big deal for them. Built on their latest 18c database, the autonomous data warehouse brings the potential for a new level of simplicity. It leverages machine learning to ensure constant uptime by automatically (hence “autonomous” everywhere in their announcement) protecting, securing, and repairing the database. On top of the promised simplicity, they tout the ability to lower costs and perform faster than the competition. OK, Oracle, well played. I’m intrigued, maybe even a little excited, but the reality is that Oracle is still behind. They (self-admittedly) lost the cloud infrastructure war, and I’m nervous that they could lose this one too if they don’t play their cards right.

Topics: Data Management Cloud Platforms & Services