O'Reilly on Data

JANUARY 3, 2019

The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China. In this episode of the Data Show , I spoke with Haoyuan Li, CEO and founder of Alluxio , a startup commercializing the open source project with the same name (full disclosure: I’m an advisor to Alluxio). Our discussion focuses on the state of Alluxio (the open source project that has roots in UC Berkeley’s AMPLab ), specifically emerging use cases here and in China.

Technology 212

Technology Analytics 212

IBM Big Data Hub

DECEMBER 31, 2018

Martec's law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models.

Modeling 80

Modeling Technology 80

Tim Mitchell

JANUARY 1, 2019

I have been in a serious relationship for more than 12 years. My partner in this relationship has brought me joy through the years, but lately, I feel like I’m giving to this relationship far more than I’m getting out of it. The relationship no longer brings me the joy that it once did, and has suffered from several breaches. The post Why I’m Breaking Up with Facebook appeared first on Tim Mitchell.

IT 75

IT 75

Bruno Aziza

DECEMBER 29, 2018

What good will your 2019 resolutions be if you don’t know what’s coming at you next year no matter what? People in my line of work are fascinated by predictions.but as Yogi Berra once said: “Prediction is very hard, particularly when it’s about the future.”.

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74

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Teradata

JANUARY 1, 2019

Regulations like GDPR are an opportunity for many organizations, Reiner Kappenberger explains how data privacy can be good for your business.

63

63

IBM Big Data Hub

JANUARY 3, 2019

Machine learning is a hot topic no matter the industry, and rightfully so. Many see it as a path to greater efficiency and deeper insights.

Machine Learning 81

Machine Learning IT 81

Bruno Aziza

JANUARY 2, 2019

A new industry survey captures the state of corporate Big Data and AI investment.

Big Data 76

Big Data 76

Data Virtualization

JANUARY 3, 2019

Some still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization is much more. Data virtualization is about abstraction. It’s about data consumers being decoupled from. The post Easy Database Migration with Data Virtualization appeared first on Data Virtualization and Modern Data Management.

Data Integration 49

Data Integration Technology Management 49

IBM Big Data Hub

JANUARY 3, 2019

Learn how Skanderborg Music Festival found success through IBM Analytics at Think 2018.

Analytics 90

Analytics 90

Tim Mitchell

DECEMBER 30, 2018

Earlier this week, I blogged about the automatic cleanup process that purges old data from the SSIS catalog logging tables. This nightly process removes data for operations that are older than 365 days. While this is useful, many SSIS admins have complained that this process is very slow and contentious on large or busy SSISDB databases. In this post, I’ll.

49

49

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Timo Elliott

JANUARY 3, 2019

I talked to a CEO a few weeks ago who insisted that it was important not to impose software choices on the different divisions of his conglomerate organization, so the company could be as agile and flexible as possible. But in an era where having a strong data foundation is an important part of pivoting to new business models, is that still a viable point of view?

Software 51

Software Modeling IT 51

Juice Analytics

JANUARY 4, 2019

It is the the New Year, my favorite time for New Year’s resolutions. Time to look inward to see how we can change ourselves to change your world. If you’re responsible for a data product or analytical solution, you might consider a little self-reflection in pursuit of a better solution for your customers. Here are a few places to start: Empathy. the ability to understand and share the feelings of another.

Management 40

Management Sales Marketing Analytics 40

Smarten

JANUARY 3, 2019

The days of data silos and isolated teams of data analysts and IT staff are behind us. Today, every business user must incorporate accurate analysis into the decision-making process. Enter, the Citizen Analyst! What is a Citizen Analyst? Citizen Analysts (AKA Citizen Data Scientists) represent a new breed of business user. These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the

Business Intelligence 40

Business Intelligence Interactive Statistics Reporting 40

3AG Systems

JANUARY 2, 2019

Chances are you already know that data is important for business – really important. You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. And despite the hype, you’re probably wondering what the fuss is all about. After all, don’t companies already make decisions based on data?

Optimization 40

Optimization Reporting Analytics Business Intelligence 40

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Paul Turley

DECEMBER 31, 2018

I had a chance to catch up with two of the three Matts from the Power BI product team at PASS Summit 2018. Speaking with Matthew Roche and Matt Masson about the new Power BI Dataflows announcement, they told me that Power Query is becoming a truly enterprise-class data transformation technology.

Data Transformation 40

Data Transformation Enterprise Technology 40

Teradata

JANUARY 3, 2019

Rob Armstrong uses the simple analogy of shapes to explain the complicated topic of data and analytics.

Analytics 40

Analytics 40

Nutanix

JANUARY 2, 2019

Ever since the emergence of cloud, there’s been fierce debate about which architecture is best. Public and private cloud both have their advocates.

20

20

The Data Visualisation Catalogue

JANUARY 1, 2019

When combining an Arc Diagram with another form of data visualization, the additional graph markers can be placed on or aligned with the connecting nodes of an Arc Diagram. This allows for an additional variable (or multiple variables) to be added to the diagram. This additional variable is of course connected (or relevant) with the node data. So for example, if an individual node represents a single person in a network, the arcs represent who they’re messaging, and then the additional var

Visualization 48

Visualization Marketing IT 48

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IT

Cloudera

JANUARY 3, 2019

A new year is always an opportunity for change. This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. We are well positioned to deliver even more innovation and success than we have independently over the last decade.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75

Smarten

DECEMBER 31, 2018

Data Visualization Tools that are Smarter Can Make Users Smarter! Visual Analytics tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources, with a guided approach that allows users to identify patterns and trends, and quickly complete analysis with clear results.

Visualization 40

Visualization Software Machine Learning Analytics 40

Nutanix

JANUARY 2, 2019

Here’s a test. Would you be comfortable giving a definition of ‘the cloud’ to a stranger? If you have any doubts, don’t worry – you’re not alone.

IT 20

IT Testing 20

Smarten

JANUARY 2, 2019

Search Analytics that Works the Way Users Think! Everyone knows how to ask a question using the Google search interface. It is easy because it allows the user to phrase the question using normal, human language. Imagine how few users Google would have if they required the user to know and use complex search queries to find a restaurant or locate a movie review!

Analytics 40

Analytics IT ROI Machine Learning 40

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics