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Reading: 5 Crucial Database Practices For Overseeing Sound Big Data Strategies
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SmartData Collective > Big Data > 5 Crucial Database Practices For Overseeing Sound Big Data Strategies
Big Data

5 Crucial Database Practices For Overseeing Sound Big Data Strategies

If your team has a stellar set of effective big data strategies, it's important to be sure you're overseeing them properly to make sure you can get the most out of your method. Powerful database practices like automation and security are key.

Matt Bertram
Last updated: 2020/10/21 at 8:27 PM
Matt Bertram
6 Min Read
big data strategies
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Big data has led to some major breakthroughs for businesses all over the world. Last year, global organizations spent $180 billion on big data analytics.

Contents
Database Management Practices for a Sound Big Data Strategy1. Improve Security2. Invest in Skills3. Clean your Databases4. Adopt Automation5. Make Your Data AccessibleDatabase Management is the Key to Successful Big Data Implementation

However, the benefits of big data can only be realized if data sets are properly organized. One of the most important steps is to make sure that databases are properly structured, organized and secured.

Database Management Practices for a Sound Big Data Strategy

It is difficult for businesses to not consider the countless benefits of big data. As the landscape enters the era of digital transformation, there is an even greater need for enterprises to reassess how they gather, analyze and use raw information to make critical decisions. Sure enough, there’s more to big data than just having the right tools for handling them. You also need to maximize these tools in a way that brings the best returns.

Companies have found many innovative ways to use big data to strengthen their business models. Uber uses big data to develop machine learning algorithms to forecast demand. Netflix uses big data to personalize content suggestions to customers. Procter and Gamble is using big data to streamline decision making at the executive level. The benefits of data analytics are endless.

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So, how can you leverage the value of big data? You can start by coming up with a sophisticated database management strategy.

Here are the five most essential measures that you can take to improve the way you utilize database management in optimizing your business for better gains.

1. Improve Security

The threats of cybercrime continue to linger and businesses need to equip themselves with the right software and use the right methods to avoid them. It may seem like a considerable investment, but beefing up your defenses prevents critical data from falling into the wrong hands. Consider adding a web application firewall that prevents the injection of damaging SQL commands that will destabilize your database. It also helps to use a single computer for accessing your database as well as use complex passwords.

2. Invest in Skills

Big data is constantly changing, so it’s important for businesses to learn more about prevailing trends and hire people who are fully capable of handling compliance and backend-frontend processes. You need database administrators who know how to use COALESCE in PostgreSQL and ensure the consistency of data all throughout. In other words, you need to be meticulous when it comes to selecting database managers or data scientists and promoting the right people for the job.

3. Clean your Databases

Duplicate data and messy values can put a toll on your database, leading towards costly errors that will cost you time and money. For this reason, it’s important to make sure to keep your database clean so you can work on accurate data sets. More importantly, you need to cleanse your SQL server of old code. Taking additional steps to keep your database up-to-date helps improve data quality, allowing your organization to make better decisions in the long run.

4. Adopt Automation

Indeed, database management is a tricky component and you can’t always rely on your administrators to ensure that your systems are up and running. Using the right tools that automate everything from cleaning old data to validating information, you can streamline core processes and fast-track the implementation of major projects and decisions. You still need the right people to do much of the legwork, but an automated database system should help make things simpler and less costly.

5. Make Your Data Accessible

Allowing certain users to access your database should also involve making it easier for them to make changes without compromising the security and integrity of your data system. If your goal is to achieve a more collaborative environment, then it’s important to layout a clear set of protocols and use applications for managing permissions.

Database management is not just about numbers. It’s about ensuring the health of your data systems and looking for valuable opportunities that support your business in the long run.

Database Management is the Key to Successful Big Data Implementation

Every company needs to structure its data carefully to take advantage of its benefits. This is only possible with a properly managed database. The guidelines listed above should be invaluable to help companies cultivate solid databases to execute their big data strategies.

TAGGED: big data, big data management, database practices, Databases
Matt Bertram October 20, 2020
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By Matt Bertram
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MATT BERTRAM, C.P.C., is the Co-Host of the most popular SEO podcast on iTunes. He is the Lead Digital Marketing Strategist and CEO at eWebResults, a top internet marketing agency since 1999 focused on driving traffic though multi-channel marketing built on Organic SEO as the backbone.

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