Analytics

As a Microsoft partner, we’re excited by the announcement of the Azure Synapse Analytics platform. Why? Because it furthers the ability of businesses to leverage data-driven insights and decision making at all levels in an organization. (And we love that!) Together, our joint customers are already leveraging data in amazing ways to tackle everything from creating customer 360 views to reducing project times for data analytics from 6 months to 6 weeks.

We’ve been thrilled to recently bring Tereza Nemassanyi to our team as our new CRO. Tereza brings more than just experience to the Keboola team from Microsoft - her unique perspective and constant devotion to speaking on innovation is the kind of thought leadership that excites us. We sat down with Tereza to get the scoop on her approach to innovation and how she thinks the innovation backlog can be the key to business growth.

The hype around AI is deafening, creating a noisy and confused environment. Organizations are looking for clarity on the role and application of AI in bringing more value to data, and for help avoiding the pitfalls that surround so many of these projects. These pitfalls include error-prone decision making and unintended consequences based on flawed data or “black box” algorithms, and gimmicky approaches including simple search and bolt-on AI that overpromise and under deliver.

While the impetus for transforming to a data-driven culture needs to come from the top of the organisation, all levels of the business should participate in learning new data skills. Assuring data availability and integrity must be a team sport in modern data-centric businesses, rather than being the responsibility of one individual or department. Everyone must buy in and be held accountable throughout the process.

If you are a magician specialized in Talend magic, we always hear a key word called Dynamic ingestion of data from various sources to target systems instead of creating individual Talend job for each data flow. In this blog, we will do a quick recap of the concept of Dynamic schema and how we can reorder or shuffle columns when we are employing Dynamic schema in ingestion operations.

My first car had a manual choke. It would change the ratio of air and fuel to allow the engine to start - you would pull it when starting the engine cold, wait a bit and then set it back. The car had many other peculiarities - a manual transmission (of course), no power steering, and the engine had a tendency to overheat in the summer - or, if going uphill, year-round.

Handling secrets has always been a challenging and critical task within organizations.