Three days, over ten thousand attendees, forty hours of content and at least five things happening at once. Welcome to SaaStr Annual! We’ve been scouring the official schedule for the coolest SaaStr events and dedicated many nights and mornings taste…
Continue reading How To Rock SaaStr Annual And SF Like A Pro (Also: #DataParty!)
As a member of the marketing team you already know that data is power. However, it’s not always easy to get, and even when you can get the data you need, it’s not always easy to understand, analyze, interpret and…
Continue reading A Marketing Professional’s Guide to Collecting Twitter Data
2017 has come to an end, and as you’re gearing up for a successful 2018, you might find a cheat sheet of essential ETL tools and data storage comparisions handy. This list provides commentary to help you make the best decisions…
Continue reading Learn About ETL And Data Storage Tools You Need For 2018
The data industry continues to impress with new tools being released every month. While we all love choices, the current data stack landscape can be overwhelming. We’re here to help separate the players from the wanna-bes and have created a…
Continue reading Top 10 Tools For A Dangerously Effective Data Stack In 2018
Data analytics allows organizations to gain insight into their business operations and find new ways to increase their revenue. However, the data sources used to provide these insights are often located in different places and accessing them can be problematic.…
Continue reading Enterprise Data Warehousing Vs Data Virtualization: The Battle
ed. note: The latest data warehouse trends report is now available. Download it today.re:Invent, Amazon Web Services’ yearly conference for data scientists, analysts and business intelligence (BI) professionals, provides information, direction, and guidance for businesses and industries that use data…
Continue reading Three Data Warehousing Trends From AWS Re:Invent 2017
Data warehouses and data lakes are two different types of data storage repositories. Data warehouses integrate data from various sources and structures them for business reporting. Data lakes store raw structured and unstructured data in whatever form the data source…
Continue reading Key Differences Between a Data Warehouse and a Data Lake
There are some big things happening around big data. I’ve had the chance to work with various types of cloud, data center, and virtualization systems through the years. One of the biggest trends throughout these deployments has been the growth…
Continue reading Don’t Just Create Data – Learn How to Use It!
You’re probably reading this post because it’s time to choose a database, and you’re a little stuck. You may be leaning towards PostgresSQL and want to see how it stacks up against other databases, such as MariaDB.So, which one should…
Continue reading PostgreSQL vs MariaDB: Choosing the Right Database
As your organization moves its data into the cloud, you face the challenge of balancing productivity and efficiency gains with tremendous compliance and security concerns. While securing your cloud is not the same as securing your physical infrastructure, it doesrequire…
Business Intelligence (BI) has, by tradition, been a long and drawn out process. In the early days of computers, BI tools such as SAP/Crystal Reports and IBM/Cognos came along to speed things up. Both, however, need extensive development and IT…
Preparing data for Business Intelligence (BI) can be a very tedious and time consuming process. You want the data to turn into the best reports for analysis. But, the raw data needs lots of processing and handling before you can…
Continue reading How to Prepare Data for Business Intelligence and Analytics
