True Visual Data Exploration on a Big Data Scale
In a data-driven world, nothing is more critical than finding out exactly what is going on around you. With that said, data is that ubiquitous resource which can be shaped to provide new innovations and new insights, and organizations can achieve this by transforming their data lake into a modern-day information assembly line. The massive mountains of data in the data lake can throw you off guard, but to successfully become data-driven the pace of building and ingesting data assets needs to be blistering.
This leaves us with the latent question:
Are you using big data to inform your business decisions?
Because you should be fostering agile techniques that radically reduce the time to value for these data assets.
So, what can eliminate the speed and agility that organizations need to stay ahead in the information economy?
Using traditional enterprise data warehouse methods like creating OLAP cubes is antithetical to the paradigm of data exploration that a data lake attempts to cultivate.
Traditional OLAP cubes require pre-modeling using a star or snowflake schema, with all the data in a cube pre-aggregated constraining immediate data exploration. Besides restricting what a business analyst can explore, the data can also lead to missed insights and incorrect answers by not divulging the full picture. Modeling turns into a time-consuming process that requires experts who can write complex code.
Being a modern data-driven organization starts with understanding your data, and data discovery tools have made a business analyst’s life easier by introducing a visual way to explore data. But this approach backslides when business analysts attempt to explore the huge volumes of data residing in a data lake and expect a fast response time.
So, a key question to ask is what sort of analytics and visualization does the business demand?
That is where a powerful tool like ShareInsights comes into play.
ShareInsights’ Data Lake Explorer enables interactive visual exploration of even the largest of data sets, liberating organizations from the need to build complex models and pre-aggregations that are typical of OLAP tools. Analysts can now explore any data in the data lake on any scale, whether it is drilling up, slicing, dicing, or filtering on any dimension, with no dearth of combinations.
Learn more in the video below:
Here are some of the most important factors to consider when looking at a data discovery platform like ShareInsights:
- Unrestrained Data Exploration
Analysts have a general understanding of what needs to be explored, but they normally rely on the data to point them in the right direction, leaving the analysis open-ended. Pre-modeled OLAP cubes restrict analysts’ freedom to truly explore the data, uncovering only pre-defined paths that could hide the right business answers. ShareInsights Data Lake Explorer empowers analysts to not be limited by pre-modeled cubes, giving them the freedom to explore data swiftly and discern results immediately.
2. Instant Visual Charts
If a picture is worth a thousand words, a data visualization is worth at least a million. ShareInsights Data Lake Explorer helps analysts explore data visually using easy-to-consume charts without the need to write any complex SQL queries. With point-and-click controls to build charts, drill down into segments of the data, filter datasets, and create aggregations, analysts can instantly explore billions of rows with a sub-second response time without waiting around for IT to create cubes.
3. Easy Creation and Publishing of New Datasets
In order for data to be reused, it must be findable. ShareInsights traces the complete path as analysts explore, filter, and drill down data, allowing them to save and publish datasets directly on the data lake with the click of a button.
Regardless of industry or size, all types of businesses need data visualization to help make sense of their data, an essential tool in the arsenal of a data analyst. ShareInsights Data Lake Explorer brings together cutting-edge technology and a flawless user experience, completely altering the concept of exploring raw data at massive volumes. Highlighting this further is this video that throws light on how analysts can use ShareInsights to visually understand existing data sets in the data lake and publish new ones in a few seconds.
The essence of big data analytics is the raw data in the data lake, and the ability to easily visualize and understand it is the only path to becoming a data-informed business.