yanivleven

9 ms·

31.
by yanivleven 9y ago
Think they are looking for the next thing with #18c cause the are so late to the game they cant just be a faster AWS Me2 that wont do it
32.
by yanivleven 9y ago
ETL? ELT? ET Phone Home
33.
Top Cloud Security Threats, Risks, and Concerns(blog.panoply.io)
2 points by yanivleven 9y ago|0 comments
34.
by yanivleven 9y ago
Lobbying should be made illegal
35.
ETL-Less Smart Data Warehouse Raises $5M(newscenter.io)
3 points by yanivleven 9y ago|1 comments
36.
Panoply Raises Another $5M for Its Machine Learning Powered Data Warehouse(businesswire.com)
2 points by yanivleven 9y ago|0 comments
37.
Why We Built Panoply and Ray Kurzweil’s Law of Accelerated Returns(blog.panoply.io)
4 points by yanivleven 9y ago|0 comments
38.
Leveraging bigdata requires different DA skills than traditional environments(blog.panoply.io)
10 points by yanivleven 9y ago|5 comments
39.
Make the Change Easy Then Make the Easy Change - Redshift at Panoply Lightspeed(youtube.com)
1 points by yanivleven 9y ago|0 comments
40.
Blendo Joins Panoply to Build an analytics infrastructure in less than 5 minutes(blendo.co)
1 points by yanivleven 9y ago|0 comments
41.
How to calculate Amazon Redshift pricing?(blog.panoply.io)
2 points by yanivleven 9y ago|1 comments
42.
by yanivleven 9y ago
Great Article! the stack is changing...
43.
A Full Comparison of Redshift and BigQuery(blog.panoply.io)
3 points by yanivleven 9y ago|0 comments
44.
Everything you need to know about Redshift Spectrum, Athena and S3(blog.panoply.io)
2 points by yanivleven 9y ago|0 comments
45.
Cassandra vs. MongoDB(blog.panoply.io)
1 points by yanivleven 9y ago|0 comments
46.
What is the difference between a data engineer and a data scientist?(blog.panoply.io)
2 points by yanivleven 9y ago|0 comments
47.
The Complete Guide to Redshift Query Queues(blog.panoply.io)
1 points by yanivleven 9y ago|0 comments
48.
by yanivleven 9y ago
Data Lessons from the Dark side LOL... Most Data lessons are learned by shedding blood!
49.
CouchDB vs. MongoDB(blog.panoply.io)
88 points by yanivleven 9y ago|52 comments
50.
by yanivleven 9y ago
really?
51.
by yanivleven 9y ago
I do not believe that a deregulated system can catch to massive economic scale because there is a trust involved with currency. The minute a currency is distributed with no regulation it can be monopolized and its price shifted up and down
52.
by yanivleven 9y ago
its becoming such a hot job right now due to the incredible rise in data companys are accumulating
53.
by yanivleven 9y ago
Japan is by far the world leader in one of the most important tech revolutions in the coming decade, the robotics revolution.
54.
by yanivleven 9y ago
no shit! a multibillion dollar valuation on almost no revenue and no growth in the foreseeable future, with competition from Instagram and FB.
55.
4 Traits of Outstanding Data Engineers(blog.panoply.io)
1 points by yanivleven 9y ago|0 comments
56.
PGProxy Breakthrough load balancer in complex warehouse deployments(blog.panoply.io)
9 points by yanivleven 9y ago|2 comments
57.
Redis vs. Mongo DB – The battle of the NoSQL databases continues(blog.panoply.io)
25 points by yanivleven 9y ago|18 comments