Yesterday at Amazon re:Invent, Werner Vogels, Amazon’s Chief Technology Officer outlined a vision for a modern data architecture that spans data ingestion, lifecycle management, data governance, orchestration and job scheduling. This vision included the announcement of Amazon Glue.
Everyone is talking about artificial intelligence (AI) and machine learning these days. This is not just of strategic relevance for companies the likes of Google, Apple, Amazon, Facebook or Salesforce.com. AI is now a term that all companies should be familiarizing themselves with (if they’re not already) because it will have a profound impact on their business in the near future.
In the last installment of our chat with Laurent Bride, CTO for Talend, we covered how the cloud market has evolved to become a mainstream technology and the questions customers should bear in mind as they evaluate cloud solutions.
At Talend, we always have our eye on future trends in technology. Cloud—once just a buzzword—is now a widely-adopted technology across all businesses. No longer is it a secret that Cloud is more secure, cost-effective and scalable than the majority of alternatives. However, we also acknowledge that cloud solutions will not entirely replace on-premises infrastructures. Rather, they will largely enhance and extend the processing power and accessibility of those data sources.
In August 2016, Talend was recognized as a "Leader" in data integration by Gartner's "Magic Quadrant for Data Integration Tools." Talend is the first new vendor in five years to be added to the Leaders Quadrant, improving its position over 2015, moving up and to the right within the Magic Quadrant based on its completeness of vision and ability to execute.
If you are a retailer, how well do you know your products and how well do you know your customers? You may know which products are most popular based on their purchase history because you keep records of those transactions. But do you know which of your products are the most and least viewed? Do you know what is driving traffic to certain products and what type of customers are most interested in those products? Are you able to provide intelligent and meaningful product recommendations to your customers and increase potential sales revenues? Gaining insig
As the CMO of a data integration software company, I’ve invested a lot of time convincing IT managers that they should switch from hand coding to a tool-based approach. Hence the reason I was excited to see and impressed by the practical advice outlined in Gartner’s recently published report, “Does Custom-Coded Data Integration Stack Up to Tools?”
In the last installment of this series, we looked at six keys to turning your Big Data initiative into sustainable success with Data Governance. These six steps were identified by TDWI in its recent report titled, “Governing Big Data and Hadoop”. As an independent report, it highlights the challenges and best practices, but it doesn’t explain Talend’s specific ability to address those challenges.
This is the first installment to a two-part blog series focused on Governing Big Data and Hadoop.
So, you’re ready to embark on your data-driven journey, huh? The business case and project blueprint are well defined and you’ve already secured executive sponsorship for your digital transformation. You’re ready to run a modern data platform based on Hadoop and your team is set-up on the starting blocks to deliver the promises of Big Data to the wider organization.
It appears that my previous blogs on this topic have been very well received. Let me express my continued delight and thanks to you, my (dedicated or avid) readers.