SparklineData( Now part of Oracle)
@SparklineData
Fast B.I and Analytics and OLAP on Spark
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Just published! Updated review of @tableau strengths & weaknesses w @rsallam #GartnerDA gartner.com/doc/3841879?
gartner.com
Tableau Critical Capabilities as of September 2017
Tableau adds cloud/hybrid data connectivity, enhances governance through certified and recommended data sources, and provides alerting, scheduling and collaboration. This document provides the...
Speed matters.
Data warehouse optimization remains the top use case for #BigData #analytics. #EnSW forbes.com/sites/louiscol… #fastbi on the fastest DW @SparklineData
Great Q&A with @elissafink on helping Marketers Make More Data-Driven Decisions About Growth. forbes.com/sites/forbesin… @tableau via @Forbes
Yes! We have been preaching this at SparklineData for a few years now.
Here's my point: 1. Materialized views are an amazing way to speed up analytics; 2. MVs come in many forms, not always CREATE MATERIALIZED VIEW. 3. MVs are an ancient technique (think CREATE INDEX); 4. MVs are ever more important as data becomes heterogenous and distributed.
An early holiday present - @tableau #projectmaestro beta 2 has been released. Lots of new stuff - Pivot, Wild card union, Data interpreter, Aggregate and Join Improvements, Write to CSV, Rename Nodes, Improvements to expression editor, nGram algorithm in fuzzy clustering, +more
Tulips are not durable, not scarce, not programmable, not fungible, not verifiable, not divisible, and hard to transfer. But tell me more about your analogy...
I just published “Building a fast datamart on Redshift” medium.com/p/building-a-f…
I just published “Last mile analysis and modern B.I” medium.com/p/last-mile-an…
medium.com
Last mile analysis and modern B.I
Last mile analysis : The analysis that is performed by a business user with an intent to test a hypothesis or explore an anomaly.
Are you limited in your ability to be data driven? Combine #bi and #ai Democratize analytics with SparklineSNAP #fastbi sparklinedata.com
All analytics is fundamentally about counting. Know what to count(metrics) and count fast you are half way there #fastbi @SparklineData
I just published “In a typical enterprise there are broadly two kinds of B.I projects .” medium.com/p/in-a-typical…
medium.com
In a typical enterprise there are broadly two kinds of B.I projects .
Focus on factual reporting and analysis
Analyzing data in seconds with Python, SparklineSNAP and @nteractio Exploratory data analysis and drag and drop B.I can exist side by side. See how you can multi-dimensionally explore a 100 million row dataset. ow.ly/CVRk30gBfmp #spark #sparksql #python #fastbi
I just published “Enterprise B.I in the age of A.I” medium.com/p/enterprise-b…
Software Engineer: Spark, SQL, Big Data Analytics hasjob.co/sparklinedata.… #Bangalore @sparklinedata
Never bet against standard SQL adtmag.com/articles/2016/…
adtmag.com
Google Switching to Standard SQL for BigQuery Analytics Service -- ADTmag
Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data...
#apachespark is more than datascience. Powered by SparkSQL companies are deriving ROI from spark based B.I #fastbi sparklinedata.com/2017/10/24/apa…
We're excited to be #8 on the #FortuneFuture50 list! 🎉 tabsoft.co/2zBkYwb
A Plethora of Data Science and Machine Learning Books buff.ly/2getp8I
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