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Displaying posts with tag: analytics (reset)
LinkedIn China new Social Platform Chitu. Interview with Dong Bin.

“Complicated queries, like looking for second degree friends, is really hard to traditional databases.” –Dong Bin

I have interviewed Dong Bin, Engineer Manager at LinkedIn China. The LinkedIn China development team launched a new social platform — known as Chitu — to attract a meaningful segment of the Chinese professional networking market.

RVZ

Q1. What is your role at LinkedIn China?

Dong Bin: I am an Engineer Manager in charge of the backend services for Chitu. The backend includes all Chitu`s consumer based features, like feeds, chat, event, etc.

Q2. You recently launched a new social platform, called Chitu. Which segment of the …

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On Using HPE Vertica. Interview with Eva Donaldson.

“After you have built out your data lake, use it. Ask it questions. You will begin to see patterns where you want to dig deeper. The Hadoop ecosystem doesn’t allow for that digging and not at a speed that is customer facing. For that, you need some sort of analytical database.”– Eva Donaldson.

I have interviewed Eva Donaldson, software engineer and data architect at iContact. Main topic of the interview is her experience in using HPE Vertica.

RVZ

Q1. What is the business of iContact?

Eva Donaldson: iContact is a provider of cloud based email marketing, marketing automation and social media marketing products. We offer expert advice, design services, and an award-winning Salesforce email integration and Google Analytics tracking features specializing in …

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A Grand Tour of Big Data. Interview with Alan Morrison

“Leading enterprises have a firm grasp of the technology edge that’s relevant to them. Better data analysis and disambiguation through semantics is central to how they gain competitive advantage today.”–Alan Morrison.

I have interviewed Alan Morrison, senior research fellow at PwC, Center for Technology and Innovation.
Main topic of the interview is how the Big Data market is evolving.

RVZ

Q1. How do you see the Big Data market evolving? 

Alan Morrison: We should note first of all how true Big Data and analytics methods emerged and what has been disruptive. Over the course of a decade, web companies have donated IP and millions of lines of code that serves as the foundation for what’s being built on top.  In the …

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MariaDB and Native JSON support ?

A question raised by my previous post is : What about MariaDB and native JSON support ? In my previous post I mentioned the possibility to use the MariaDB CONNECT storage Engine to store and access JSON content in normal text field. Of course having a native JSON datatype brings more value. It introduces JSON [...]

Database Performance Webinar: Tired of MySQL Making You Wait?

Too often developers and DBAs struggle to pinpoint the root cause of MySQL database performance issues, and then spend too much time in trying to fix them. Wouldn’t it be great to bypass wasted guesswork and get right to the issue?

In our upcoming webinar Tired of MySQL Making You Wait? we’re going to help you discover how to significantly increase the performance of your applications and reduce database response time.

In this webinar, Principal Architect Alexander Rubin and Database Evangelist Janis Griffin will provide the key steps needed to identify, prioritize, and improve query performance.

They will discuss the following topics:

  • Wait time analytics using …
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Using JSON’s Arrays for MariaDB Dynamic Columns

The JSON format includes the concept of array. A JSON object cant contain an attribute of array type. We have seen that we can use the MariaDB CONNECT Storage Engine provided UDFs (user defined functions) to implement dynamic columns.

Let us create a table with a text column containing a a JSON string and let [...]

On Hadoop RDBMS. Interview with Monte Zweben.

“HBase and Hadoop are the only technologies proven to scale to dozens of petabytes on commodity servers, currently being used by companies such as Facebook, Twitter, Adobe and Salesforce.com.”–Monte Zweben.

Is it possible to turn Hadoop into a RDBMS? On this topic, I have interviewed Monte Zweben, Co-Founder and Chief Executive Officer of Splice Machine.

RVZ

Q1. What are the main challenges of applications and operational analytics that support real-time, interactive queries on data updated in real-time for Big Data?

Monte Zweben: Let’s break down “real-time, interactive queries on data updated in real-time for Big Data”. “Real-time, interactive queries” means that results need to be returned in milliseconds to a few seconds.
For “Data updated in real-time” to happen, …

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Data Warehouse in the Cloud - How to Upload MySQL data into Amazon Redshift for reporting and analytics

October 27, 2014 By Severalnines

The term data warehousing often brings to mind things like large complex projects, big businesses, proprietary hardware and expensive software licenses. With Hadoop came open source data analysis software that ran on commodity hardware, this helped address at least some of the cost aspects. We had previously blogged about MongoDB and MySQL to Hadoop. But setting up and maintaining a Hadoop infrastructure might still be out of reach for small businesses or small projects with limited budgets. Well, perhaps then you might want to have a look at Redshift.

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Resources for Database Clusters: Performance Tuning for HAProxy, Support for MariaDB 10, Technical Blogs & More

August 28, 2014 By Severalnines Check Out Our Latest Resources for MySQL, MariaDB & MongoDB Clusters

 

Here is a summary of resources & tools that we’ve made available to you in the past weeks. If you have any questions on these, feel free to contact us!

 

New Technical Webinars

 

Performance Tuning of HAProxy for Database Load Balancing

09 September 2014 - with Baptiste Assmann of HAProxy Technologies

Do you know what HAProxy can tell you about your application and database instances? Do you know the difference …

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Making Real-Time Analytics a Reality — TDWI -The Data Warehousing Institute

My article on how to make the real-time processing of information from traditional transactional stores into Hadoop a reality has been published over at TDWI:

Making Real-Time Analytics a Reality — TDWI -The Data Warehousing Institute.


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