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March 4, 2019

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

Most companies have to build data science teams to support ongoing business intelligence on Hadoop workloads. What's this costing them? 

March 4, 2019

Unprecedented Concurrency with AtScale and Cloudera Impala

The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus AtScale is a scalable solution for running concurrent, interactive business intelligence (BI) queries on Hadoop.

March 4, 2019

Two Ways That AtScale Delivers Faster Time To Insight: Dynamic BI Modeling and Improving Query Concurrency

Businesses are using Google BigQuery, Amazon Redshift, and Microsoft Azure to host vast quantities of data. Much of this data remains unused due to slow time to insight. AtScale alleviates the causes of slow time to insight, which enables businesses to derive more value from their data.

March 4, 2019

Through the Eyes of a BI Author: Why Tableau and AtScale make a great solution together

If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software.

March 4, 2019

Three Trends From Dataworks Summit 2018

We did it again! The AtScale team was present at the Dataworks Summit 2018 in San Jose, California. We hope you had the opportunity to be part of this great event and attended the great sessions that we suggested. If you missed the event, don’t worry, we have prepared a great summary for you.

March 4, 2019

Three Important Questions to ask about Chief Data Officers

Chief Data Officers play an increasingly important role at large organizations. While most global enterprises have hired a Chief Data Officer or plan to hire one soon, there is a lack of consensus on a CDO's mandate. It is likely that CDOs will drive cloud data transformation projects.

March 4, 2019

The Ultimate Big Data Architecture Checklist

Big Data have been able to provide enterprises competitive advantage and reduce operational costs across a wide variety of scenarios. However, setting up a big data environment is not for the faint-hearted, or is it?

March 4, 2019

The Hidden Costs of Self-Service BI Initiatives

When enterprises develop a self-service BI environment, data and services become available to internal business users for a price. What are these hidden costs?

March 4, 2019

The Future of Tech: Cloud, AI and your budget…

If you're a sucker for great market data like I am, you must have heard of Mary Meeker. She' a partner at Kleiner Perkins Caufield & Byers and is known in the Valley as a specialist in digital businesses. She has been credited with having a deep understanding of what makes businesses succeed & fail.

March 4, 2019

The 1990’s called, they want their OLAP back.

OLAP emerged in the 1990s with the releases of tools like Essbase and Microsft SQL Server Analysis Services. However, OLAP has been plagued by inefficiency as data volumes have exploded. AtScale's Virtual Data Warehouse empowers enterprises to realize strong BI performance with OLAP.

March 4, 2019

TECH TALK: SQL-on-Hadoop Benchmark: A Bit of a Tortoise and Hare Story

Business Intelligence on Hadoop Benchmark

March 4, 2019

TECH TALK: Solving the Unrelated Dimension Dilemma. A Connect the Dots Story of Sorts.

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

March 4, 2019

TECH TALK: Scale-Out Business Intelligence with Hadoop

First and Last Child Measures in Hadoop

March 4, 2019

TECH TALK: Multi-Level Metric Analysis. Uncover the Hidden Relationships

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

March 4, 2019

TECH TALK: First-Child & Last-Child Measures in Hadoop

First and Last Child Measures in Hadoop

March 4, 2019

TECH TALK: BI Performance Benchmarks with BigQuery from Google

Big Data, Analytics, Hadoop, Josh Klahr, AtScale

March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part I)

AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...

March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part II)

AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...

March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part III)

AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...

March 4, 2019

Selecting The Right Use Case For Your Big Data Implementation

Choosing the right big data use case may not be the easiest thing, but it will bring great benefits to your organization.