Market Milestone – Google to Buy Looker to Transform Business Analytics

Key Stakeholders:

Chief Information Officers, Chief Technical Officers, Chief Digital Officers, Chief Analytics Officers, Data Monetization Directors and Managers, Analytics Directors and Managers, Data Management Directors and Managers, Enterprise Architects

Why It Matters:

Google’s proposed $2.6 billion acquisition of Looker provides Google with a core data engagement, service, and application environment to support Google Cloud Platform. This represents an impressive exit for Looker, which was expected to IPO after its December 2018 Series E round. This report covers key considerations for Looker customers, GCP customers, and enterprises seeking to manage data and analytics in a multi-cloud or hybrid cloud environment.

Top Takeaway:

Google Cloud Platform intends to acquire a Best-in-Breed platform for cloud analytics, embedded BI, and native analytic applications in Looker. By filling this need for Google customers, GCP has strengthened its positioning for enterprise cloud customers at a time when Amalgam Insights expects rapid and substantial growth of 25%+ CAGR (Compound Annual Growth Rate) across cloud markets for the next few years. This acquisition will help Google to remain a significant and substantial player as an enterprise cloud provider and demonstrates the latitude that Google Cloud CEO Thomas Kurian has in acquiring key components to position GCP for future growth.

To read the rest of this piece, please visit Looker, which has acquired a commercial license for this research.

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Data Science and Machine Learning News Roundup, May 2019

On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx, Amazon, Anaconda, Cambridge Semantics, Cloudera, Databricks, Dataiku, DataRobot, Datawatch, Domino, Elastic, Google, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, Tableau, Talend, Teradata, TIBCO, Trifacta, TROVE.

Domino Data Lab Champions Expert Data Scientists While Outpacing Walled-Garden Data Science Platforms

Domino announced key updates to its data science platform at Rev 2, its annual data science leader summit. For data science managers, the new Control Center provides information on what an organization’s data science team members are doing, helping managers address any blocking issues and prioritize projects appropriately. The Experiment Manager’s new Activity Feed supplies data scientists with better organizational and tracking capabilities on their experiments. The Compute Grid and Compute Engine, built on Kubernetes, will make it easier for IT teams to install and administer Domino, even in complex hybrid cloud environments. Finally, the beta Domino Community Forum will allow Domino users to share best practices with each other, as well as submit feature requests and feedback to Domino directly. With governance becoming a top priority across data science practices, Domino’s platform improvements around monitoring and making experiments repeatable will make this important ability easier for its users.

Informatica Unveils AI-Powered Product Innovations and Strengthens Industry Partnerships at Informatica World 2019

At Informatica World, Informatica publicized a number of key partnerships, both new and enhanced. Most of these partnerships involve additional support for cloud services. This includes storage, both data warehouses (Amazon Redshift) and data lakes (Azure, Databricks). Informatica also announced a new Tableau Dashboard Extension that enables Informatica Enterprise Data Catalog from within the Tableau platform. Finally, Informatica and Google Cloud are broadening their existing partnership by making Intelligent Cloud Services available on Google Cloud Platform, and providing increased support for Google BigQuery and Google Cloud Dataproc within Informatica. Amalgam Insights attended Informatica World and provides a deeper assessment of Informatica’s partnerships, as well as CLAIRE-ity on Informatica’s AI initiatives.

Microsoft delivers new advancements in Azure from cloud to edge ahead of Microsoft Build conference

Microsoft announced a number of new Azure Machine Learning and Azure AI capabilities. Azure Machine Learning has been integrated with Azure DevOps to provide “MLOps” capabilities that enable reproducibility, auditability, and automation of the full machine learning lifecycle. This marks a notable increase in making the machine learning model process more governable and compliant with regulatory needs. Azure Machine Learning also has a new visual drag-and-drop interface to facilitate codeless machine learning model creation, making the process of building machine learning models more user-friendly. On the Azure AI side, Azure Cognitive Services launched Personalizer, which provides users with specific recommendations to inform their decision-making process. Personalizer is part of the new “Decisions” category within Azure Cognitive Services; other Decisions services include Content Moderator, an API to assist in moderation and reviewing of text, images, and videos; and Anomaly Detector, an API that ingests time-series data and chooses an appropriate anomaly detection model for that data. Finally, Microsoft added a “cognitive search” capability to Azure Search, which allows customers to apply Cognitive Services algorithms to search results of their structured and unstructured content.

Microsoft and General Assembly launch partnership to close the global AI skills gap

Microsoft also announced a partnership with General Assembly to address the dearth of qualified data workers, with the goal of training 15,000 workers by 2022 for various artificial intelligence and machine learning roles. The two companies will found an AI Standards Board to create standards and credentials for artificial intelligence skills. In addition, Microsoft and General Assembly will develop scalable training solutions for Microsoft customers, and establish an AI Talent network to connect qualified candidates to AI jobs. This continues the trend of major enterprises building internal training programs to bridge the data skills gap.

Google Goes Corporate at Google Next

There’s no doubt that Google exists to make money. They make money by getting companies to buy their services. When it comes to selling ads on search engines, Google is number one. When it comes to their cloud business, Google is… well, number three.

I’m guessing that irks them a bit especially since they sit behind a company whose main business is selling whatever stuff people want to sell and a company that made its name in the first wave of PCs. Basically, a department store and a dinosaur are beating them at what should be their game.

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Big Changes in the Cloud Data Migration Market: Attunity and Alooma Get Acquired

Mid-February (Feb. 17 – 23) was a hot week for data and cloud migration companies with two big acquisitions. Google announced on Tuesday, Feb. 19 the acquisition of Alooma to assist with cloud data migration issues. This acquisition aligns well with the 2018 acquisition of Velostrata to support cloud workload migration. This acquisition reflects Google’s continued…

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Google Grants $9 Million in Google Cloud Platform Credits to Kubernetes Project

Tom Petrocelli, Amalgam Insights Research Fellow
Kubernetes has, in the span of a few short years, become the de facto orchestration software for containers. As few as two years ago there were more than a half-dozen orchestration tools vying for the top spot and now there is only Kubernetes. Even the Linux Foundation’s other orchestrator project, CloudFoundry Diego, is starting to give way to Kubernetes. Part of the success of Kubernetes can be attributed to the support of Google. Kubernetes emerged out of Google and they have continued to bolster the project even as it fell under the auspices of the Linux Foundation’s CNCF.

On August 29, 2018, Google announced that it is giving $9M in Google Cloud Platform (GCP) credit to the CNCF Kubernetes project. This is being hailed by both Google and the CNCF as an announcement of major support. $9M is a lot of money, even if it is credits. However, let’s unpack this announcement a bit more and see what it really means.

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Data Science Platforms News Roundup, July 2018

On a monthly basis, I will be rounding up key news associated with the Data Science Platforms space for Amalgam Insights. Companies covered will include: Alteryx, Anaconda, Cloudera, Databricks, Dataiku, DataRobotDatawatch, Domino, H2O.ai, IBM, Immuta, Informatica, KNIME, MathWorks, Microsoft, Oracle, Paxata, RapidMiner, SAP, SAS, Tableau, Talend, Teradata, TIBCO, Trifacta.

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Amalgam’s 5 Tiers of Technology Value


In Amalgam’s recent Analyst Insight, “Domo Hajimemashite At Domopalooza 2018, Domo Solves Its Case of Mistaken Identity”, Amalgam introduced a figure showing the 5 Tiers of Technology Value. This pyramid, based on Maslow’s Hierarchy of Needs, demonstrates how technology provides value that can be documented, calculated, and used to build business cases.

5 Tiers of Technology Value

Amalgam 5 Tiers Of Technology Value
Amalgam 5 Tiers Of Technology Value

To better understand these five tiers, Amalgam provides this guidance to companies seeking a better understanding of how IT investments are justified, as well as the pros and cons associated with each tier.

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Hyoun Park Discusses Cloud Pricing on CIO.com

Money Bubbles in the Clouds

On CIO.com, analyst Hyoun Park discusses recent cloud pricing changes by Oracle, Amazon, and Google in context of understanding who is actually providing the cheapest cloud. In this blog, Park posits that Oracle’s new Universal Credits for IaaS and PaaS usage are fundamentally different from the traditional pricing models for cloud and shows that the enterprise cloud is coming of age.

One of Park’s assertions is that the most granular pricing may not be the cheapest because the complexity of detailed pricing prevents companies from optimizing their costs. Will this trend affect your cloud costs?

To learn more, click through to CIO.com and read this article: “Is the cheapest cloud pricing flexible or granular?”

Also, join Hyoun’s webinar to learn more about managing cloud costs on BrightTALK: Cloud Service Management: Managing Cost, Resources, and Security