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The C-Level Guide to Poor SQL Database Management

What makes this a C-Level Guide? We’re staying out of the weeds. If you’re a database admin looking for grizzly SQL jargon to nerd-out over, perhaps come back later. We're keeping this quick and dirty. Expect Wikipedia links in place of long-winded explanations. The value here will be in learning how smarter SQL database management can help savvy C-level execs level up career and business performance.

SQL: 101 (The ‘I Knew this Already’ Stuff) If walking through your office you overhear your Database Admins talking about ‘see-quel’, they’re not talking about Star Wars movies (unless they are). They’re talking about Structured Query Language (SQL), the most universal and commonly used database language there is. The Rise of SQL In Everyday Life Suppose you do an IMDB for Elon Musk (yes, he’s on there) and you read that he was previously married to Talulah Riley. On clicking her name to find out more about her, you effectively ran an SQL query—SQL language was used to comb the contents of tables in a conventional database and retrieve Riley’s profile details. The Rise of SQL In Business Despite the rise of NoSQL (SQLs arch nemesis used by the likes of Netflix) SQL is making a strong resurgence as the universal method of data analysis. According to Wired, in 2017 Microsoft SQL Server “grew faster in popularity than any other database product”. A few uses cases for SQL: Understanding user data (particularly in retail & ecommerce) Running digital marketing campaigns

Transaction processing Data manipulation Data integrity There’s every chance your company applications are built on top of data from SQL servers housing different SQL databases side-by-side performing completely different functions. The Causes of Poor SQL Database Management Part of the issue is that most of the threats businesses face from their own SQL databases lurk out of sight or aren’t properly dealt with collaboratively through innovation. If you don't know where the burning issues are in your business, you’ll always be putting out fires. Database Admins & C-Level speak different languages While C-level slays its own corporate dragons, those responsible for database management sense a disconnect and stop communicating database threats and opportunities up the chain. Furthermore, complex company hierarchies and a lack of fluency in each other's language between C-level and database admins compounds the issue. Companies often fail to fight corporate antibodies To make matters worse, any innovation efforts that are made often fail thanks to corporate antibodies - aka the corporate resistance to change. Paradoxically, the very incentives that may actually solve the poor database-management problem are shot down by corporate antibodies that build up causing an auto-immune response that attacks even positive innovations.

“We already tried that and couldn’t make it work.” “Things have worked fine for years as they are; there is no need to change.”

“Of course, I support innovation. It’s just not the right time.” Sound familiar?

Solving the SQL database-management headache won’t require you to learn to code SQL or participate in their in-jokes and team banter. Though it will require empowering them in some way to do more with less and capitalise on efficiency opportunities. Save time, money and the headache of poor database management. Give your Database Admins humm.db and manage all SQL databases 80% faster from a single dashboard. The Consequences of Poor SQL Database Management When it comes to database management, businesses are largely unaware of underlying issues until something out of sight blows up under the hood and things come screeching to a halt. Unless you’re the CTO or the Database Admins it’s just not your job to care. As a result, too many businesses: a) Continually firefight blowback of database meltdowns, costly data-security incidents and sluggish applications performance b) Constantly miss opportunities for making financial efficiencies c) Remain in a ‘cure’ not ‘prevention’ mindset d) Burn time and money picking up the pieces

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