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Dean of Big Data 🎓 Jan 15
Monetize your initiatives with these tips and you’ll increase the probability of your org’s success.
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Rick van den Bosch 2h
Working on my talk for next week. Trying to work in the latest changes. See you there!
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Silectis Jan 16
1. Orgs need to take seriously w/ the right tools and right people 2. The isn't going anywhere 2. Data prep is still the biggest bottleneck in any data project 4. Self-service tools w/o governance will hit their limits via
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Hemant Verma 19h
A is much more flexible about its data than a is.
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Kirsten Barr 9h
Data Lake/Big Data Lead - ETL Development a must (Spark), AWS, S3, Glue assets - take a lead role in building a new data lake for cloud native apps/financial services - kbarr@teemagroup.com
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Securities Services 17h
Many thanks to all participants this morning in our breakfast introducing D-VIEW, our solution giving access to the latest to truly understand their global distribution & thanks to Regis Veillet for his presentation.
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iCOMP 13h
What's the difference between data lakes and data warehouses?
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Denodo Jan 17
Learn how data scientists can make use of Denodo's to identify the most useful data - read Pablo Álvarez's latest blog in the series:
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Saurabh K. Gupta Jan 13
ingestion strategies. - An ORC file of a table is organized into stripes of 64MB each. Each stripe indexes the column to hold min/max or a dictionary for quick lookup Download free chapter now!
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Bob Underwood Jan 14
Replying to @1stSanFrancisco
We are seeing this emerging trend where statisticians, economists, bio-statisticians, actuaries, preventive medicine clinical teams, and institutional researchers are providing value to the organization by re-training to be data scientists.
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SnapLogic 8h
Many IT and business leaders are overestimating the effectiveness and usefulness of data lakes. Learn how to avoid data lake failures from this report:
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Nick Towers Jan 16
Great day representing today Great to be part of their and round table talking about the challenges of management, standards and solutions.
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Denodo Jan 14
What does the typical workflow of a using a virtual look like? Read Pablo Álvarez's latest blog in his data lake series:
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Splice Machine Jan 14
Now that you have your , it's time to start driving ROI from it. See how Splice Machine and can help you reduce data lake complexity and easily build dataflow pipelines.
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syncsort Jan 16
Businesses must harness the power of to control data & avoid the . on why is a critical component:
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Partech Jan 15
. has been granted a NEW patent that increases the power of their fingerprinting technology = faster discovery and classification of data. Congrats ⁩ and team!
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Mathias Golombek 19h
“Unlearn” to Unleash Your Data Lake by @schamrzo on LinkedIn - "The Data Science Process is about exploring, experimenting, and testing new data sources and analytic tools quickly, failing fast but learning faster"
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Massimo Capoccia 15h
just watching the brand new Governance Risk and Compliance (GRC) built on platform services like AI predicts
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Andy Dominguez 18h
For 2019, do you need an end-to-end and security platform with an optimal and ? You should take a look into , the certified solution. >>
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Next Pathway Inc. 20h
Automate your pipeline to address challenges associated with , and immediacy.
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