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May 24, 2017 · 21m · mad

Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)

Prat Moghe · 15m spoken Matt Turck · 29s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At Data Driven NYC, Prat Moghe, Founder and CEO of Cazena, discusses the steep DevOps and operational challenges enterprises face when migrating big data to the cloud and presents Cazena's fully-managed platform as an automated solution.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 2.4% of the talking time here. How this is scored →

Matt as informed peer 1.0 Guest teaching 1.3 Guest disagreement 0.3 Matt pushing back 0.8
05100:0010:0020:001:40–4:23 · Matt as informed peer 0/10 The Cloud Opportunity and Challenge Prat Moghe delivers a solo presentation explaining the dual shifts in cloud infrastructure and enterprise data centers. Because Matt Turck does not participate in this monologue segment, host-side metrics are set to zero.4:23–12:11 · Matt as informed peer 0/10 The Big Data Tech Opportunity and Challenge Prat Moghe details the complex landscape of modern big data tools, provisioning challenges, and cloud security overhead. The segment is entirely a presentation monologue with no active host involvement, resulting in zero host scores.12:11–15:17 · Matt as informed peer 0/10 Big Data as a Service Goals and Cazena's Vision Prat Moghe presents Cazena's product vision, comparing Big Data as a Service to an electrical utility grid. As this is a solo tech pitch without host interaction, host expertise and pushback are scored at zero.15:17–21:09 · Matt as informed peer 4/10 Audience Q&A Session with Prat Moghe and Matt Turck Matt Turck opens the Q&A session by asking how Cazena handles hybrid legacy environments, clarifying physical migration versus virtualization. Audience members and Prat engage in an informative and respectful Q&A exchange.1:40–4:23 · Guest teaching 1/10 The Cloud Opportunity and Challenge Prat Moghe delivers a solo presentation explaining the dual shifts in cloud infrastructure and enterprise data centers. Because Matt Turck does not participate in this monologue segment, host-side metrics are set to zero.4:23–12:11 · Guest teaching 1/10 The Big Data Tech Opportunity and Challenge Prat Moghe details the complex landscape of modern big data tools, provisioning challenges, and cloud security overhead. The segment is entirely a presentation monologue with no active host involvement, resulting in zero host scores.12:11–15:17 · Guest teaching 1/10 Big Data as a Service Goals and Cazena's Vision Prat Moghe presents Cazena's product vision, comparing Big Data as a Service to an electrical utility grid. As this is a solo tech pitch without host interaction, host expertise and pushback are scored at zero.15:17–21:09 · Guest teaching 2/10 Audience Q&A Session with Prat Moghe and Matt Turck Matt Turck opens the Q&A session by asking how Cazena handles hybrid legacy environments, clarifying physical migration versus virtualization. Audience members and Prat engage in an informative and respectful Q&A exchange.1:40–4:23 · Guest disagreement 0/10 The Cloud Opportunity and Challenge Prat Moghe delivers a solo presentation explaining the dual shifts in cloud infrastructure and enterprise data centers. Because Matt Turck does not participate in this monologue segment, host-side metrics are set to zero.4:23–12:11 · Guest disagreement 0/10 The Big Data Tech Opportunity and Challenge Prat Moghe details the complex landscape of modern big data tools, provisioning challenges, and cloud security overhead. The segment is entirely a presentation monologue with no active host involvement, resulting in zero host scores.12:11–15:17 · Guest disagreement 0/10 Big Data as a Service Goals and Cazena's Vision Prat Moghe presents Cazena's product vision, comparing Big Data as a Service to an electrical utility grid. As this is a solo tech pitch without host interaction, host expertise and pushback are scored at zero.15:17–21:09 · Guest disagreement 1/10 Audience Q&A Session with Prat Moghe and Matt Turck Matt Turck opens the Q&A session by asking how Cazena handles hybrid legacy environments, clarifying physical migration versus virtualization. Audience members and Prat engage in an informative and respectful Q&A exchange.1:40–4:23 · Matt pushing back 0/10 The Cloud Opportunity and Challenge Prat Moghe delivers a solo presentation explaining the dual shifts in cloud infrastructure and enterprise data centers. Because Matt Turck does not participate in this monologue segment, host-side metrics are set to zero.4:23–12:11 · Matt pushing back 0/10 The Big Data Tech Opportunity and Challenge Prat Moghe details the complex landscape of modern big data tools, provisioning challenges, and cloud security overhead. The segment is entirely a presentation monologue with no active host involvement, resulting in zero host scores.12:11–15:17 · Matt pushing back 0/10 Big Data as a Service Goals and Cazena's Vision Prat Moghe presents Cazena's product vision, comparing Big Data as a Service to an electrical utility grid. As this is a solo tech pitch without host interaction, host expertise and pushback are scored at zero.15:17–21:09 · Matt pushing back 3/10 Audience Q&A Session with Prat Moghe and Matt Turck Matt Turck opens the Q&A session by asking how Cazena handles hybrid legacy environments, clarifying physical migration versus virtualization. Audience members and Prat engage in an informative and respectful Q&A exchange.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 14.8% · guest 85.2%15:00 · Matt 14.8% · guest 85.2%18:00 · Matt 1.3% · guest 98.7%18:00 · Matt 1.3% · guest 98.7%21:00 · Matt 72.8% · guest 27.2%21:00 · Matt 72.8% · guest 27.2%
Sharpest disagreement ▶ 7:00 Rejecting Impala vs Redshift Framing

Prat Moghe dismisses the standard industry debate over Impala versus Redshift, labeling it as the wrong question when architecting cloud data solutions.

 Hardest push from Matt ▶ 16:05 Virtualization vs Physical Migration Push

Matt Turck interrupts Prat's answer to press for technical precision, asking directly whether data is physically moved rather than virtualized.

 Biggest teaching moment ▶ 16:30 Data Physics and Incremental Transfer Reality

Prat Moghe reframes an audience question about network bottlenecks by explaining the practical difference between bulk historical migration and daily incremental data transfers.

 Matt holds his own ▶ 15:20 Hybrid Legacy Data Reality Question

Matt Turck demonstrates enterprise domain expertise by highlighting that most large companies hold data in legacy on-premise systems rather than cloud-native stacks.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
The Cloud Opportunity and Challenge 0100 Prat Moghe delivers a solo presentation explaining the dual shifts in cloud infrastructure and enterprise data centers. Because Matt Turck does not participate in this monologue segment, host-side metrics are set to zero.
The Big Data Tech Opportunity and Challenge 0100 Prat Moghe details the complex landscape of modern big data tools, provisioning challenges, and cloud security overhead. The segment is entirely a presentation monologue with no active host involvement, resulting in zero host scores.
Big Data as a Service Goals and Cazena's Vision 0100 Prat Moghe presents Cazena's product vision, comparing Big Data as a Service to an electrical utility grid. As this is a solo tech pitch without host interaction, host expertise and pushback are scored at zero.
Audience Q&A Session with Prat Moghe and Matt Turck 4213 Matt Turck opens the Q&A session by asking how Cazena handles hybrid legacy environments, clarifying physical migration versus virtualization. Audience members and Prat engage in an informative and respectful Q&A exchange.

Statements from this episode (8)

Assertion Not checkable as stated
Prat Moghe: Many major banks remain in traditional data centers
“Like, if you look at the big banks around you, many of them are still in the data center.”
Prat Moghe May 24, 2017 ▶ 2:31
Disclosure
Cazena CEO: Unmonitored cloud spending can hit $50,000 unexpectedly
“Like I have a CFO watching my cloud costs every day. Because if you don't watch them quickly, you spend 50,000 dollars without even knowing it.”
Prat Moghe May 24, 2017 ▶ 4:14
Assertion Not checkable as stated
Prat Moghe: Hiring qualified Hadoop DevOps engineers is exceptionally difficult
“Can you actually hire a good Hadoop DevOps engineer? Is it easy? I mean, you saw somebody stand up here saying they're recruiting. There's a reason, and it's because it's really hard to find these people, right?”
Prat Moghe May 24, 2017 ▶ 5:13
Assertion Supported
Moghe: FINRA, NASDAQ, and Capital One are going all-in on cloud big data
“FINRA, NASDAQ, Capital One. I mean, these are like really cutting edge, large companies that have actually retooled themselves, right? And they've said, they're going all into the cloud. They're going to do big data in the cloud.”
Prat Moghe May 24, 2017 ▶ 6:06
Insight
Prat Moghe: Provisioning cloud analytics is a dark art
“So just provisioning, provisioning what you need in analytics from the cloud itself is a dark art.”
Prat Moghe May 24, 2017 ▶ 7:56
Insight
Prat Moghe: Cloud is not inherently insecure, but default settings are open
“Security is one of those things where people are either completely afraid of the cloud security and say cloud's not secure, which I say that's just not true. Cloud has a lot of great security controls, but the reality is it's a lot of work to take all of those…”
Prat Moghe May 24, 2017 ▶ 9:07
Disclosure
Cazena selected Redshift, Greenplum, Cloudera, and RStudio for its data platform
“We picked Redshift and Greenplum for SQL. We picked Cloudetta for Hadoop and Spark. We've added RStudio for data science.”
Prat Moghe May 24, 2017 ▶ 13:57
Assertion Not checkable as stated
Prat Moghe: Daily enterprise data increments rarely reach petabytes per day
“The daily increment typically be found is usually in a few terabytes a day. It's rarely petabytes a day.”
Prat Moghe May 24, 2017 ▶ 17:02
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