Airflow is a general-purpose, open-source workflow tool that is used as a data orchestration tool to define and coordinate analytics data pipelines. Airflow has some similar objectives as Datameer. Your target is often a cloud data warehouse such as a Snowflake, and it allows you to apply software engineering best practices to process the data. The similarities end there.
The data modeling world is constantly evolving as new technologies are introduced. First, it was data warehousing, then MPP data warehouses, followed by Hadoop and data lakes, and now we are in the cloud data warehouse era.
The first building block of a cloud data stack starts with Snowflake. Your analytics engine and cloud data warehouse is always the core component by which your data stack revolves.
Have you spent long evenings and weekends building a modern data infrastructure and still struggling to get the rest of the organization to adopt it? Here is a sure way to get wider business adoption by getting the business teams involved.
Learn how Datameer customers use Spectrum to maximize their data completeness for in-depth and well-rounded analytics datasets that drive highly accurate decision-making.
While DataOps is a process, it also requires critical capabilities within your data platforms to support it and deliver the promised efficiency, quality, and scale. Let’s explore what DataOps is and five specific ways in which DataOps will increase your analytics ROI.
Build Enterprise Data Pipelines in Minutes.
The only end-to-end no-code ETL on the market. No code loading; No code transforming
To ensure your organization is maximizing the value of business data, you need the right data integration solution. See how the leading ETL and ELT platforms stack up.
Learn how Datameer Spectrum provides the governance, support, and security with the speed, agility, and cost-effectiveness to extract, transform, and load data to Snowflake, BigQuery, Redshift, Synapse, and other data warehouses or data lakes.
We chatted with Priyanka Khosla, People Insights & Workforce Planning at Sobeys Inc. We discussed people analytics, key metrics, and best practices on how to recruit and hire essential workers during a pandemic efficiently. Watch this webinar to learn more.
As if managing data of increasing size weren’t hard enough, organizations are now challenged to monitor business processes, assemble complete views of customers, and weave a cohesive analysis of corporate performance based on hybrid data that are strewn across the traditional enterprise and multiple clouds.
AWS Datameer Customer Case Study – AI Consumer Debt
As if managing data of increasing size weren’t hard enough, organizations are challenged to monitor business processes, assemble complete views of customers, and weave a cohesive analysis of corporate performance based on hybrid data strewn across the traditional enterprise and multiple clouds.
AWS Datameer Customer Case Study – Investment Bank
451 Research Business Information Brief
Our guest Patrick McGrath, Director of Product Management, Search & Analytics at Commvault, talked about the best practices for moving sensitive data to the cloud.
Join Nikhil Kumar and Steve Egan while looking at coronavirus data from 3 different drug clinical trial data, add patients’ demographics and comorbidity data, and solve which drug might be the most effective against Covid-19.
Join our webinar to find out how one of America’s top auto-insurer used Spotlight to create a virtual analytics hub that enabled data scientists to quickly and easily find, gain access, and run advanced analytics on their disparate data landscape.
Join us in a discussion with Andrew Brust. He advises customers on analytics strategies, writes about Big Data for ZDNet and GigaOm, co-chairs a series of developer conferences the Visual Studio Live!, and is an influencer in the Microsoft ecosystem, recognized as both a Microsoft Regional Director and Data Platform MVP.
Join John Morrell and Steve Egan for this empowering webinar on how to gain faster analytics for your business, more excellent analytics teams’ productivity and more significant ROI on analytics initiatives.
While each use case may be unique, many common design patterns can be used for data preparation in data pipelines that curate data for analysis. Let’s explore these and see how you can apply them.
Learn how you can use advanced data preparation and exploration to explore your data to determine fit, rapidly shape your data for AI and ML engines, and deploy data pipelines to create a cooperative workflow with AI and ML tools.
Join our guest Gaurav Mishra, Director of Data Science at BMO Financial Group, discussing how a simple unified data platform will empower end-users.
Organizations that use the AWS ecosystem rely on Datameer’s self-service solutions to pipeline data to the cloud faster, search and perform petabyte-scale analytics across complex data landscapes, and unlock more insights from all their data.
With Datameer and Google Cloud Platform, analytic teams are completely self-reliant. Teams discover data, analyze it in minutes, and invest their time in what they do best – on the data-driven decisions that advance your business.
Organizations that use the AWS ecosystem rely on Datameer’s self-reliant solutions to pipeline data to the cloud faster, search and perform petabyte-scale analytics across complex data landscapes, and unlock more insights from all their data.
Data teams that use Snowflake harness Datameer’s self-reliant solutions for agile analytics across complex data landscapes to rapidly unlock 30x more insights from all their data and lower the costs of using Snowflake.
Access data for your Tableau dashboards that you never could before, including Facebook Ads, Workday, Twitter Ads, Hubspot, Shopify, Dynamics, SAP Concur, and so much more. No data warehouse necessary. No data engineering is required.
Join Bob Page, Datameer Spotlight Chief Product Officer, and Steve Egan, our Data & Analytics Solutions Engineer, on how to empower your analytics team to discover, and find any data in the enterprise, collaborate, and perform ad-hoc analytics with any BI or data science tool.
The right tools can enable a company to move quickly from regulatory compliance success to strategic data excellence in months. Datameer has helped enterprises around the world scale their regulatory data operationalization efforts to do just that.
As part of its impressive growth and expansion, a global telecommunications company needed to roll out a new content delivery network for a high-growth offering: high-speed video player services. Management made an initial investment in network infrastructure, rolling out limited amounts of upgraded bandwidth in strategic geographies.
Customer behavior analytics maximizes the value of customer relationships by identifying actionable insights that drive valuable outcomes. Whether to acquire new customers, better engage, or retain existing ones or increase loyalty, customer behavior analytics is the fundamental core to make those initiatives successful.
Financial services institutions are under continuous pressure to identify ways to grow their revenue and assets under management. At the same time, competitive threats abound as financial services firms of all types compete for customers and their wallet share.
With a great deal of personal data being used in big data analytics, you must choose a platform that provides the deepest functionality to ensure you are GDPR compliant while still lowering the administrative burden needed to manage compliance processes. Datameer fits the bill.
Datameer’s big data analytics platform provides the right combination of power, speed, and flexibility required to navigate the unpredictable waves of financial services regulatory compliance requirements successfully.
Big data analytics combines and analyzes data related to customer interactions, innovation, service execution, and network performance, providing a 360-degree service experience view. This process allows winning CSPs to retain and grow their customer base, increase service utilization, and raise customer lifetime value (LTV).
Datameer’s analytics platform provides the right combination of power, speed, and flexibility required to successfully navigate the unpredictable waves of financial services compliance requirements. Learn more about our work in financial services or sign up to attend a live demo.
Customer analytics, driven by big data, can transform the buyer-seller relationship. It’s not simply about gaining deeper insights about customers but using that data to drive more effective personalized marketing, increasing sales productivity, and retaining customers for a higher lifetime value.
We examined several different approaches and architectures for governance best practices. Choose the right approach for the unique needs of your organization, data, analytics, and business teams. With Datameer, you can mix and match these models to fit individual needs with departments or business units.