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Big Data

About this topic

Big data refers to large information assets that demand cost-effective, innovative forms of information processing.

Community Posts

Snowflake Cloud Data Platform and the role of Database Administrators? Snowflake seems to be an ever growing database platform and one requiring little or no database administration--or that's what I was led to believe. It appears that the role of a DBA is still required, but I'm not sure exactly what are the specific responsibilities of a DBA when it comes to supporting Snowflake. Anyone with DBA responsibilities--specifically, system or physical DBA--supporting Snowflake: how is this different/similar to what your DBAs do today with on-prem RDBMS/NoSQL/MPP/DWH or in public cloud instances such as Aurora?

If you or your data practitioners could analyze hierarchical/transactional/granular data from the original source without normalizing/summarizing it first, how much of an impact would it have on project timelines/data workloads?

Tremendous impact11%

Some impact75%

Little impact11%

No impact2%

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How do you consume third party data? In reports? Dashboards? Do you ever purchase raw data (feeds)?

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How do you see the data warehouse fitting into modern data and analytics architectures?

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Where do you think your organization needs the most help in the Cloud related technologies / solutions?

Cloud Security31%

Cloud Data Analytics (Streaming, Big Data, AI, Data Lake, Data Warehouse etc.)52%

Cloud Migration / Modernization42%

Cloud Native Development (DevOps, Micro Services, Containers, Kubernetes, etc.)30%

Cloud Data (Databases, Data Management, Governance, etc.)13%

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What would you teach to a team who knows little about Engineering and what's needed to create a product/service from scratch in Engineering? I was recently hired for an early-stage startup and want to help the founding team see the real scope of what we will be facing.

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What is the one indispensable action you would emphasize for a successful Data Strategy, which would have a lasting impact on your organization's long term competitiveness?

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What do you qualify as "Big Data"? Does it have more to do with the amount of data or the type of data?

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What do organizations get wrong when it comes to data lifecycle management?

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What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

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How should we approach the problem of excessive data collection?

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Is it vital to capture every stream of data in your organization to create truly continuous intelligence?

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Can CIOs act as the CDOs for organizations today? Or do companies really need a separate CDO who can partner with the business and IT to drive digital transformation?

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Which tools are you using, if any, to catalog non-tabular data assets such as video, audio, binary files, xml?

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Which data warehouse does your organization use?

Snowflake11%

Google20%

Amazon22%

Microsoft23%

Cloudera3%

Oracle12%

IBM1%

SAP1%

Other2%

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Big Data

About this topic

Community Posts

If you or your data practitioners could analyze hierarchical/transactional/granular data from the original source without normalizing/summarizing it first, how much of an impact would it have on project timelines/data workloads?

How do you consume third party data? In reports? Dashboards? Do you ever purchase raw data (feeds)?

How do you see the data warehouse fitting into modern data and analytics architectures?

Where do you think your organization needs the most help in the Cloud related technologies / solutions?

What would you teach to a team who knows little about Engineering and what's needed to create a product/service from scratch in Engineering? I was recently hired for an early-stage startup and want to help the founding team see the real scope of what we will be facing.

What is the one indispensable action you would emphasize for a successful Data Strategy, which would have a lasting impact on your organization's long term competitiveness?

What do you qualify as "Big Data"? Does it have more to do with the amount of data or the type of data?

What do organizations get wrong when it comes to data lifecycle management?

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

How should we approach the problem of excessive data collection?

Is it vital to capture every stream of data in your organization to create truly continuous intelligence?

Can CIOs act as the CDOs for organizations today? Or do companies really need a separate CDO who can partner with the business and IT to drive digital transformation?

Which tools are you using, if any, to catalog non-tabular data assets such as video, audio, binary files, xml?

Which data warehouse does your organization use?

What are your thoughts on SaaS management platforms (SMP)?

Community Posts

If you or your data practitioners could analyze hierarchical/transactional/granular data from the original source without normalizing/summarizing it first, how much of an impact would it have on project timelines/data workloads?

How do you consume third party data? In reports? Dashboards? Do you ever purchase raw data (feeds)?

How do you see the data warehouse fitting into modern data and analytics architectures?

Where do you think your organization needs the most help in the Cloud related technologies / solutions?

What would you teach to a team who knows little about Engineering and what's needed to create a product/service from scratch in Engineering? I was recently hired for an early-stage startup and want to help the founding team see the real scope of what we will be facing.

What is the one indispensable action you would emphasize for a successful Data Strategy, which would have a lasting impact on your organization's long term competitiveness?

What do you qualify as "Big Data"? Does it have more to do with the amount of data or the type of data?

What do organizations get wrong when it comes to data lifecycle management?

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

How should we approach the problem of excessive data collection?

Is it vital to capture every stream of data in your organization to create truly continuous intelligence?

Can CIOs act as the CDOs for organizations today? Or do companies really need a separate CDO who can partner with the business and IT to drive digital transformation?

Which tools are you using, if any, to catalog non-tabular data assets such as video, audio, binary files, xml?

Which data warehouse does your organization use?

What are your thoughts on SaaS management platforms (SMP)?