According to Alation, there are seven key steps to building a successful data governance framework: Establish a mission and vision and create a set of policies, standards and glossaries; Populate a data catalog with metadata that shows data lineage and analyze that metadata to discover what data is most popular and who are the top users of data; Recognize and assign data stewards and empower those stewards to govern the organization's data; Curate data assets by describing different data sets and applying quality flags to the data sets so users can easily find the data they'll find most useful; Apply policies and controls so that not all data can be accessed by everyone within an organization and organizations can remain compliant with applicable regulations; Drive community and collaboration to promote trusted data use; and Monitor and measure the entire data governance framework to determine policy conformance, create curation analysis, measure the usage and creation of data assets, and determine the quality of data. "If you're going to really do a process, you need to find out where the gaps are and where you need to make course corrections," Myles Suer
EF Core 6.0 is a modern, cloud-native-friendly data access API that supports multiple backends. Get up and running with a document-based Azure Cosmos DB container using only a few lines of code, or use your LINQ query skills to extract the data you need from relational databases like SQL Server, MySQL, and PostgreSQL. EF Core is a cross-platform solution that runs on mobile devices, works with data-binding in client WinForms and WPF apps “out of the box”, and can even run inside your browser! Did you know it is possible to embed a SQLite database in a web app and use Blazor WebAssembly to access it using EF Core? Check out Steven Sanderson’s excellent video to see how this is possible. Combined with the power of .NET 6, EF Core 6.0 delivers major performance improvements and even scored 92% better on the industry standard Tech Empower Fortunes benchmark compared to EF Core 5.0 running on .NET 5. The EF Core team and global OSS community have built and published many resources to help you get started.
The heart of transformation is really the culture, and that requires commitment from the entire leadership team. In 2016, CarMax began a significant transformation effort. “We wanted to make sure that our organization – not just technology, our entire organization – was ready for this change. And that required a significant commitment not only from me, but also from the CEO. The two other partners I worked closely with were the chief marketing officer and the chief operations officer. So between the leadership team support, we were able to demonstrate and articulate to the whole company that this is a change for the entire company, not just a technology initiative,” says Mohammad. “We put cross-functional teams together to show that we’re serious about this change and we do have to transform ourselves to this digital way of working,” he says. "It is difficult to change the fabric and core operating system of an organization, so the leadership team needs to be there all the way. It is a journey that never ends, so the support cannot subside. The support has to be there all the time.
Not many people actually talk about ML engineering — at least compared to the amount of people talking about data science — and yet I believe the demand for ML engineers might surpass the one for data scientists. We can see the amount of data scientists soaring all over the world, within companies of all sizes, while most of these people aren’t actually doing data science at all, just analytics. And many of those who are actually doing data science probably didn’t have to. That means many organisations are hiring people to solve basically the same types of problems, over and over again, in parallel. There is just a lot of redundancy, and the quality of the people doing it varies substantially. At the same time, we see companies like Google and Amazon, who have some of the best data scientists in the world, working on “ready-to-use” ML systems on their cloud platforms (GCP and AWS, respectively). This means you can plug your data into their systems to benefit from all that knowledge, and all you need is someone who knows how to make that connection and the necessary tuning--someone like an ML engineer.
The recovery process is often the last thing anyone thinks about. Disaster recovery and business continuity (DRBC) is probably the toughest piece to solve and, often, the most ignored. But if your organization is in healthcare or part of critical infrastructure like utilities, there can be life-and-death consequences to service interruptions. Ensuring business continuity might mean the ability to keep working to save lives, which means that immediate time-to-recovery is going to be very important. In the past, we used to have to go and pull tapes from an archive at some off-site place to restore systems—and that could take days. A few years ago, many businesses had backup systems inside a hosted data center, allowing them to restore from another server by replicating data across the pipe. That was a lot quicker than tape backups, but it still had limitations. Today, cloud-hosted solutions make things much easier because they take snapshots in time of your data. For this reason, cloud storage makes DRBC much faster than legacy solutions that are still stuck in a physical-servers-and-appliances frame of mind.
At Redgate we believe the best way to make software products is by engaging small teams empowered with clear purpose, freedom to act and a drive to learn. We believe this because we’ve seen it; teams who have had laser-like focus on an aim, decision-making authority and the space to get better at what they do, were the most engaged and effective. If you have read Dan Pink’s seminal book Drive: The Surprising Truth About What Motivates Us, you might recognise that our beliefs echo what the author demonstrates are key to an engaged and motivated workforce — autonomy, mastery and purpose. To remain true to our beliefs, Redgate needs to ensure that the goals and expectations of our teams are crystal clear, that we push authority to teams as much as we can, and we encourage people to grow. We also recognise that different people have different ambitions, preferences for work and views on what counts as personal development. We have a large portfolio of products, written in a variety of languages, structured in a variety of ways and that exist at various stages of the product life cycle.
It’s not a secret that cryptocurrencies make central banks nervous: Bitcoin and the like exist to flout regulation and control. So far, few national governments have dared ban cryptocurrency outright; we’ve seen a few years of cold war, with the American Securities and Exchange Commission publicly sniping at Terraform Labs, for example, and many governments mulling a ban on mixers. Turkey, whose lira is in freefall, is moving toward an outright ban. Nigeria attempted a ban, but remains the second-largest Bitcoin market in the world. In Russia, the Kremlin’s stance is ambiguous, as rumors of a CryptoRuble make the rounds. But China is the only major international power to successfully outlaw crypto transactions by its citizens, full stop. Now, India may be joining them. A new bill, the Cryptocurrency and Regulation of Official Digital Currency Bill, 2021, “seeks to prohibit all private cryptocurrencies in India, however, it allows for certain exceptions to promote the underlying technology of cryptocurrency and its uses.”
Hyperautomation has come to prominence as a trend for 2021 thanks to the maturity of digitalisation and of data management tools. The aforementioned digital upskilling that many organisations have committed to during the pandemic, combined with these tools, form the basis for hyperautomation to take place in the right environment. But we’re only at the start of a long journey. The digital recreation of your business, warts and all, can prove a gruelling exercise in self-examination given the speed at which systems are recreated, and resultant insights are amalgamated. Companies will need to invest a lot of time and energy in order to create long-term adoption of hyperautomation. Turning theory into action is a big challenge to take on, and preparation is key. That means that the value of hyperautomation will only start to materialise for the pioneers that stay focused. Organisations need to stay on the ball and avoid slipping back into old, stagnant processes driven by more operational, tactical initiatives.
Dubbed CronRAT, it hides in the Linux calendar subsystem as a task that has a nonexistent date, such as Feb. 31. The malware remains undetected by the security vendor and enables server-side Magecart data theft that bypasses browser-based security solutions, according to researchers at Dutch security firm Sansec. "This is very concerning, having been discovered just after Black Friday and Cyber Monday, as well as before the upcoming busy Christmas shopping period, where many unsuspecting shoppers will likely move to online shopping due to the new variant of COVID-19, which may result in further restrictions limiting in-person shopping," says Joseph Carson, chief security scientist and advisory CISO at enterprise security firm ThycoticCentrify. So far, Sansec has not directly tied this recently uncovered RAT to one particular Magecart group. And while it’s not clear who exactly is behind this malware, the report notes that its operators have created an unusual and sophisticated threat that is packed with never-before-seen stealth techniques.
Enterprises need to ensure they leverage Data as Assets and implement Systems of Insights to support Data-Driven Decision making across the entire Supply Chain and the broad spectrum of business processes and functions. Today enterprises are under immense pressure from Regulatory Authorities, Cyberattacks, and the pivot in customer buying patterns to prefer Trusted, Responsible and Sustainable Products. This effectively means enterprises need to look at Security and Compliance by design – which is best implemented by transitioning to Systems of Insights and Compliance. Skills and Talent are the new currency for the business. It is critical to capture the knowledge and experiences across the company both from a perspective of improving productivity and faster time to market. Many enterprises implemented Learning Management Systems (LMS) in some shape or form. Still, they were seen as a secondary system for Talent Retention and tracking employee training.
Quote for the day:
"The final test of a leader is that he leaves behind him in other men, the conviction and the will to carry on." -- Walter Lippmann