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What are the Costs of Building a Team of Data Scientists?

Posted by AtScale on Apr 17, 2017

What does it take build and support a team of data scientists?

Conducting exploratory data analysis or even basic business intelligence on Hadoop often requires input from data scientists who: 

  • Create models for related information across Hadoop.
  • Structure databases to contain that data.
  • Ensure different BI tools generate consistent results when referencing identical data elements.

How many data scientists you'll have to hire depends on the size of your organization and the composition of the data under its control. In this post we review how much it typically costs to hire a data scientist, the factors you'll have to consider when assembling a team and ways you can alleviate the workload placed on data scientists. 

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How Do you 'Do Big Data Analytics Right'?

Posted by AtScale on Feb 1, 2017

Yes, there are actually ways to 'Do Big Data Analytics Right'.  

Leaders and innovators in the Big Data space have learned the hard way, and now those of you looking to dip your toe, or jump head first, into the BI on Big Data waters can capitalize on their early experiences. Let go of the fear or ego or whatever may be holding you back and take the chance to learn from those who took the early adopter risk. 

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Topics: Hadoop, bi-on-hadoop, Big Data, Cloud, Analytics, Data, Webinar, BI on Big Data, Data Lake

2017 BI and Big Data Trends

Posted by AtScale on Jan 12, 2017

 With every New Year come new trends. As we experience changes across the world of Analytics and Big Data, we took a look at sources we follow and trust and put together a Top Five 2017 BI and Big Data Trends to Watch. 

  1.   Big Data, no longer just Hadoop -- Tableau
  2.   Consider the Cloud -- Tech Republic
  3.   Query performance Matters --Information Management
  4.   Business-driven Apps drive Value for Data Lake -- MAPR
  5.   Big Data becoming part of Business Fabric -- Datanami

Read on to hear why, how and where BI and Big Data leaders in the space say enterprises are, or should be, focusing, to stay ahead of the curve and succeed with BI and Big Data.

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Topics: 2017 Big Data TRends

5 BI-on-Big Data Blogs You May Have Missed, But Shouldn't

Posted by AtScale on Dec 22, 2016

 As 2016 draws to a close, and the AtScale Blog continues to grow, it is easy for a few fantastic posts to have been overlooked over the year. With this in mind, we present to you … Five BI on Big Data Blogs You May Have Missed This Year, But Shouldn't … that offer unique insights to expand your thoughts and ability to drive success in your BI and Big Data journey. 

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Topics: Big Data, BI

Is your Big Data Strategy as Mature as your Competitors?

Posted by AtScale on Dec 14, 2016

Is your Big Data ‘mature’? You may be puzzled by this question, since many in the industry have been saying ‘Big Data is Dead’ for years. But Big Data is far from dead, and instead technologies and solutions that make up the Big Data space are maturing at an ever increasing rate. From traditional players like Teradata, to open-source Hadoop, to new Cloud players like Google Big Query, the Big Data space is doing more to help companies manage and gain insights from their exploding and morphing data than at any other point in history. So what?  

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Topics: Hadoop, bi-on-hadoop, Big Data, surveys, Cloud, BI

AtScale Delivers the Industry’s First Modern Business Intelligence Platform, enables BI on Hadoop and Big Data, On Premise and Cloud

Posted by AtScale on Nov 17, 2016

Big Data analytics leader previews industry’s first platform to enable unified business intelligence for Teradata, Hadoop, Google Dataproc and BigQuery

San Mateo, CA, November 17, 2016 – AtScale, the first company to provide enterprises with a fast and secure self-service BI platform for Big Data, today announced a significant expansion of its services, from BI on Hadoop to BI on Big Data.

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Topics: Hadoop, About AtScale, Tableau, Business Intelligence, spark, Big Data

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