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AtScale Blog

What You Might Have Missed in June 2018

Posted by Ashley Huang on Jul 2, 2018

As the World Cup is kicking off, some of us might be spending a lot of sleepless nights (or waking up earlier) to watch the games. Here is a fun fact: the most anticipated match is from Group H,  Japan Vs Belgium (with 4.9B page views out of 9B page views). Interesting.

We definitely want to make sure you don’t miss out on your big data news while you’re enjoying soccer games, here is what you might have missed in June.

 
 

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Topics: Business Intelligence, Big Data, Data, BI on Big Data

What You Might Have Missed in May 2018

Posted by Ashley Huang on Jun 2, 2018

 

Summer is fast approaching and big data is (still) growing. While you were preparing for the coming hot summer days, you may have missed some of May’s big data news. Without further ado, here is what you might have missed in May.

 

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Topics: Big Data, Cloud, Analytics

2018 Dataworks Sessions You Should Check Out

Posted by Ashley Huang on May 16, 2018

2018 Dataworks Summit is just around the corner. As you’re preparing your travel to San Jose, it’s time to think about how to maximize your time at the Dataworks Summit. Dataworks Summit will take place from June 18 to June 21. Sessions, keynotes, and workshop are spread across eight different tracks. Check out the full agenda. Everyone may have different goals for this summit. While you’re going through the agenda to select the best sessions for you and your organization, here are our recommendations.

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Topics: Big Data, Hadoop Summit, hortonworks, Analytics, Data, BI on Big Data, Data Lake

Conceiving Valuable Data Driven Insights

Posted by James Burr on Mar 13, 2018


How valuable is an insight if you don’t know what’s driving it?

The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their expansive data lakes. Developing an analytic solution is a difficult and laborious process. More than a few projects have been abandoned long before any conclusive benefit is realized. Some efforts end due to constraints on time and money, others as a result of bad design or poor end user adoption. That last point is significant. You’re going to spend considerable resources to empower your decision makers. If you build it, and they don’t come, then what?



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Topics: Business Intelligence, Big Data, Semantic Layer, Analytics, BI on Big Data, Data Lake, data driven

Happy Data = Happy Users? Maximizing AtScale and Tableau

Posted by Tricia Lord on Mar 8, 2018

Congratulations!  Your data is controlled, aggregated and turbocharged in your AtScale virtual cube.  You have Tableau to create remarkable visualizations. Your data is happy! But are your cube designers and business users too? For instance, did you know that centralizing calculations in your AtScale Virtual Cube eliminates TDE perpetuation, 3rd party ETL processes and version control headaches?  For an enhanced AtScale experience, here are 5 Best Practices you should be implementing in order to maximize AtScale on Tableau.


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Topics: Business Intelligence, Big Data, BI, Analytics, BI on Big Data, best practices

Announcing AtScale 6.5

Posted by Joshua Klahr on Mar 6, 2018

Data Lake Intelligence with AtScale

In my recent Data Lake 2.0 article I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element of any modern data architecture, and the data lake footprint will continue to expand. However, the data lake investment is only one part of delivering a modern data architecture. At Yahoo!, in addition to building a Hadoop-based data lake, we also needed to solve the problem of connecting traditional business intelligence workloads to this Hadoop data. Although the term “Data Lake” didn’t exist back then, we were solving the problem of: “How can you deliver an interactive BI experience on top of a scale-out Data Lake” - it turns out we were pioneers in delivering Data Lake Intelligence.



Our experiences and learnings from those initial efforts led to the architecture that sits at the core of the AtScale Intelligence Platform. Because AtScale has been built from the ground up to deliver business-friendly insights from the vast amounts of information in data lakes, AtScale has experienced tremendous success and adoption in enterprises ranging from financial services, to retail to digital media. With the release of AtScale 6.5, we’ve continued to build on and expand AtScale’s ability to uniquely deliver on the promise of Data Lake Intelligence. If this sounds like something you might be interested in knowing more about… keep reading!

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Topics: Business Intelligence, bi-on-hadoop, Big Data, Cloud, BI, Analytics, BI on Big Data, Data Strategy, data driven

What You Might Have Missed in February 2018

Posted by Ashley Huang on Mar 1, 2018

Poor February. The short month is dismissed for its brevity (let’s not talk about the weather) but a lot transpired the past 28 days, especially in big data and analytics. ICYMI, here’s a recap of the top stories:

 

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Topics: Business Intelligence, bi-on-hadoop, Big Data, Cloud, BI, Analytics, BI on Big Data, Data Strategy, data driven

Your Strata San Jose 2018 Insider’s Guide

Posted by Ashley Huang on Feb 16, 2018

 

 

It seems like only yesterday that we all gathered for the Strata New York Conference. And yet here we are, March is around the corner, and Strata San Jose is just a month away. Historically, Strata San Jose has roughly 5000 attendees while Strata New York averages closer to 7000 attendees. As one of the largest Hadoop conference in the US, Strata sessions focus on using data for competitive advantage. Strata Conference is also an opportunity to hear real life stories from enterprises who have been there, have the scars, and wrote the book. Strata is the ideal place to understand trends in the big data world. If you missed it, here are the [trends from 2017].


 

To learn from successful from Cloudera customers on how they succeed in BI on Big Data, check out this best practices webinar

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Topics: Big Data, GartnerBI, Cloud, BI, Analytics, Data, Data Lake, Data Strategy, data driven

Gartner Summit 2018: Scale the Value of Data and Analytics, Texas Style!

Posted by Ashley Huang on Feb 15, 2018

 

The annual Gartner Data & Analytics Summit is just around the corner.  As in past years, we are all anticipating the overwhelming sessions and agenda throughout this exciting week. This time in Grapevine, Texas (again)! In between sessions, catch a breath of fresh air and check out the exhibit hall to collect a bag of goodies to bring home. While T-shirts always make good pajamas, we may also wonder which sessions and vendors we should not miss. With all of the sessions available at the Summit, here are our suggestion on the ones you don’t want to miss!

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Topics: Big Data, GartnerBI, Cloud, BI, Analytics, Data, Data Lake, Data Strategy, data driven

What You Might Have Missed in January 2018

Posted by Bruno Aziza on Feb 1, 2018

 

We’ve put January back in cold storage!  Don’t be frozen out of the month’s Big Data stories though!  Catch up on January’s Big Data BIG news...

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Topics: Business Intelligence, Big Data, Cloud, BI, Analytics, Data, BI on Big Data

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