The Hadooponomics Podcast, Episode 14 – Building Big Data, Better: Why Integration, Not Infrastructure, Is Key

HadooponomicsEp14For our next installment of Season 3 of the Hadooponomics podcast, we are excited to welcome Yaron Haviv on the show. Yaron is an entrepreneur and thought leader in storage, networking, Big Data, and cloud. Most recently, Yaron founded Iguazio, an enterprise data analytics and storage company focused on data-platforms-as-a-service and next-generation applications. He’s been the CTO and VP of several networking and infrastructure companies, and is heavily involved in the open source community.

We start our conversation talking about Strata + Hadoop World in New York, which Yaron was attending on the day of our interview. The event provides a good segue into the rest of our conversation. Here, Yaron saw a lot of attendee confusion; all the vendors are talking about data lakes, faster, bigger, better solutions, he says, and enterprises are having trouble differentiating between them all, and between “marketing fluff” and reality. During the conversation, Yaron raised several points about the problem of focusing on the technology instead of its business application, explaining that the barriers to entry aren’t all that high in the Big Data world, which creates an environment of competition and uncertainty about what solutions actually do versus what they claim to do.

From here, we explore what Yaron sees as the mega trends in the industry: Internet of Things (IoT), Software-as-a-Service (SaaS), and next-generation data warehousing and computing. We cover open source, cloud versus on-prem, and where cloud providers have an advantage over standalone data analytics solutions (hint: integration). We talk about the biggest mistakes companies make in building Big Data solutions, and how to build better Big Data applications by focusing on what kind of data will be consumed and what the business use case is, rather than by building around infrastructure that will likely change (maybe even by the time you finish building the solution).

We wrap up the show by exploring what’s next in Big Data. As a thought leader in the industry and a seasoned entrepreneur, Yaron has a lot of insights to share!

Enjoy!

Listen to the Show:

Use the embedded media player to stream the full episode or you can subscribe to our iTunes and Stitcher channels. The full transcript of the interview is also available.

PodcastHadooponomics Podcast Home | Subscribe via iTunes | Stitcher Radio | Transcript

Additional Resources

Find Yaron on LinkedIn

Find Yaron on Twitter: @YaronHaviv

Yaron’s Blog

About Arcadia Data:

Arcadia Data Logo

Arcadia Data unifies visual analysis, business intelligence, and data discovery; it runs natively on your Hadoop clusters without data extracts. Its easy-to-use browser-based visualizations deliver secure access for hundreds of concurrent users across hundreds of billions of rows in near-real time.

About James Haight

James Haight is a principal analyst at Blue Hill Research focusing on analytics and emerging enterprise technologies. His primary research includes exploring the business case development and solution assessment for data warehousing, data integration, advanced analytics and business intelligence applications. He also hosts Blue Hill's Emerging Tech Roundup Podcast, which features interviews with industry leaders and CEOs on the forefront of a variety of emerging technologies. Prior to Blue Hill Research, James worked in Radford Consulting's Executive and Board of Director Compensation practice, specializing in the high tech and life sciences industries. Currently he serves on the strategic advisory board of the Bentley Microfinance Group, a 501(c)(3) non-profit organization dedicated to community development through funding and consulting entrepreneurs in the Greater Boston area.
Posted on October 12, 2016 by James Haight

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Latest Blog

GRC Implementation Success, Part 3: Business Requirement Definition GRC Implementation Success, Part 2: GRC’s Place in the Business GRC Implementation Success, Part 1: Implementation Success is GRC Success

Topics of Interest

Advanced Analytics

AI

Analytics

Anodot

Attunity

authentication

BI

Big Data

Blog

Business Intelligence

Cloud

Cognitive Computing

Corporate Payments

Data Management

Data Preparation

Data Wrangling

DataKitchen

DataOps

DataRobot

design

design thinking

Domo

Emerging Tech

enterprise applications

Enterprise Performance Management

enterprise video

fog computing

General Industry

GoodData

GRC

Hadoop World

Human Resources

IBM

IBM Interconnect

Iguazio

ILTACON

Informatica

Information Builders

innovation

Internet of Things

IoT

knowledge

legacy IT

Legal

Legal Tech

Log Data

Machine Learning

Managed Mobility Services

Microsoft

Mobility

Nexla

Order-to-Cash

passwords

Pentaho

Podcast

Predictive Analytics

Private Equity

Procure-to-Pay

Qubole

Questioning Authority

Recurring Revenue

Risk Management

ROI

Sales Enablement

Salesforce

Security

service desk

Social Media

Strata

Striim

Supply Chain Finance

Switchboard Software

Tableau

Talend

Tangoe

Telecom Expense Management

Time-to-Value

Trifacta

TWIDO

Unified Communications

usability

USER Applications

User Experience

User Interface

video platform

Virtualization

Visualization

Wearable Tech

Yellowfin