Yellowfin have done a lot of work with software vendors over the years, helping them to embed analytics into their applications and we've learned a lot through that process. One of the things we have learnt is that there are some recurring fundamental issues with how product managers bring analytics into their product, an approach which can prevent them from realizing the full potential of their embedded analytics.
Today, Snowflake is announcing the general availability (GA) of the External Tables feature. Snowflake launched the External Tables feature for public preview at the Snowflake Summit in June 2019. It is one of the key features of the data lake workload in the Snowflake Data Cloud.
I’m a geneticist, which is really just a technical way of saying that I obsess about the minutiae of your family history. Now, while that sounds rather stalkerish, this is in fact a molecular and data-driven addiction, which is fuelled by my need to understand the nature of evolution and human behaviour via the data within our DNA. Our genomes are the single-most densely packed dataset that we have ever encountered.
Do you need faster time to value? Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT.
These bundled analytics tools help organizations facilitate and increase the adoption of self-service BI practices among regular business users in a specific operational domain, such as finance, marketing and sales. It does so by improving the availability and measurement of important, relevant historical data for your end users’ decision-making.
From system logs to web scraping, there are many good reasons why you might have extremely large numbers of small data files at hand. But how can you efficiently process and analyze these files to uncover the hidden insights that they contain? You might think that you could process these small data files using a solution like Apache Hadoop, which has been specifically designed for handling large datasets.
Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.
In the previous posts in this series, we have discussed Kerberos and LDAP authentication for Kafka. In this post, we will look into how to configure a Kafka cluster to use a PAM backend instead of an LDAP one. The examples shown here will highlight the authentication-related properties in bold font to differentiate them from other required security properties, as in the example below. TLS is assumed to be enabled for the Apache Kafka cluster, as it should be for every secure cluster.
The wait is nearly over, and soon we’ll all be privy to this year’s Gartner Magic Quadrant for Analytics and BI Platforms. Qlik is proud of its 15-year history and ranking as a leader for the last decade in this signature research, and we are enthusiastic about sharing a complimentary copy of the full report when it publishes at this location: https://www.qlik.com/us/gartner-magic-quadrant-2021
