{"id":2452,"date":"2015-07-31T17:11:26","date_gmt":"2015-07-31T17:11:26","guid":{"rendered":""},"modified":"2019-10-09T15:01:04","modified_gmt":"2019-10-09T15:01:04","slug":"peter-levine","status":"publish","type":"post","link":"https:\/\/cazenasite.com\/?p=2452","title":{"rendered":"a16z Interview \u2013 Big Data in the Cloud"},"content":{"rendered":"

<\/p>\n

Last week, Michael Copeland of Andreessen Horowitz interviewed me and Peter Levine, General Partner at  Andreessen Horowitz, on the topic of big data moving from on-prem infrastructure to the cloud.<\/p>\n

It was a fun chat after we literally took over Peter\u2019s office while he was attending a board meeting! In the interview, Peter, Michael and I discuss how:<\/p>\n

    \n
  1. Big Data 1.0 evolves to Big Data 2.0 when you have rapid and frictionless access to data. Cloud enables this. We call it Big Data on Demand. <\/li>\n
  2. The Big Data stack is complicated because it has a diverse set of technologies that are being driven by a thriving open-source community. Enterprises should not look for one silver bullet for all workloads. Each technology has a sweet spot in terms of price-performance. <\/li>\n
  3. The move to the cloud requires two big issues to be overcome, friction (see #1 above) and complexity (see #2). Big Data as a Service is the new way to do so. <\/li>\n
  4. For the cloud to be the next platform for analytical data processing, data must \u201cland\u201d on the cloud and process multiple workloads. Moving back and forth is painful. Avoid this. <\/li>\n
  5. Big Data 2.0 helps pool data and spread it around faster. It will amplify the signal from the noise. For organizations large and small, it will create a data-driven culture. <\/li>\n
  6. Peter has an interesting vision of application-aware Big Data 3.0 that ultimately derives from Big Data 2.0. <\/li>\n<\/ol>\n

    See the full interview below, read the full transcript<\/a>, or download the podcast<\/a>.<\/p>\n

    <\/a><\/p>\n