Google Cloud unveils integration between Looker and Tableau
Google Cloud introduced a new interface combining Looker and Tableau which let customers from both analytics tools take advantage of each one’s distinct advantages.
Santa Cruz, California-based Looker, launched in 2012, was purchased by Google Cloud early June 2019 approximately $billion usd.
Ever since beginning, Looker had developed a platform geared toward app developers, allowing companies to deliver information via APIs, data structures, and integrated applications rather than just standard reports.
Data-driven company decisions are crucial for today’s marketplace competition. Businesses including Google or Salesforce are aware of the always expanding demand for customers to have quick and simple access to that information as well as a range of analytical tools. To accomplish this, companies are already cooperating.
Tableau and Looker:
With the help of tools like Looker as well as Tableau, businesses need to make data-driven decisions and proceed with data-driven business choices. Although it’s the main commonality between the multiple systems, there are also some key distinctions between them that has left consumers of every network wanting a little bit better.
According to Cloudbakers “the majority of businesses are connecting to the Cloud. Although Tableau would read the output of the file called built using LookML and give customers a rich visual analytics experience, Looker is built to handle Technology platforms faster.
Although some features in Tableau need the programme to just be installed straight towards the desktop, Looker seems to be a standalone cloud-based service. In particular, Tableau desktop deployment is only necessary for exposing sources of data; end consumers and visualization programmers can theoretically still build visualizations without having Tableau physically deployed on the desktop. A basic understanding of SQL, as well as the LookerML modeling language, are prerequisites in using Looker. It’s not like all users possess this set of abilities. On either hand, Tableau is incredibly user-friendly and made so that users can start using it right away to build dashboard and statistical visualizations without any prior SQL knowledge.
The Enhanced version Platform, a new collection of capabilities for programmers, was recently made generally available as part of the dealer’s Looker 21 release. A development kit which is part of the Extensions Approaches programmers to create apps which can be incorporated into Looker or another website.
In contrast, Seattle-based Tableau was established in 2003. Only a few years before Looker was bought via Google Cloud, this was owned by Salesforce for approximately $14 billion.
By allowing companies to engage with information through visualizations instead of relying on IT teams to produce reports, the provider had been at the frontline of a self-service analytical movement.
Tableau has incorporated enhanced analytics tools like natural language since data analysis has advanced above data visualizations. In fact, Tableau has more machine learning technologies thanks to connections using Salesforce’s Einstein Technology platform.
Now, Looker customers can use the multi-cloud or semantically-layer features of Looker, whereas Tableau members can view Looker’s detailed visualization layers. The ability to access, visualize, and engage on research methodology will increase across the board, irrespective of the primary platform a firm utilizes.
Users of Tableau can more clearly divide reporting activities from analytics development and monitoring processes using Looker. This data modeling layer provides effective techniques for data centralization. Additionally, this layer gives consumers and upstream procedures the opportunity to precisely specify terms and conditions that are available to the public. A variety of tools are available from Tableau to make clear data visualisations. To get hands- on experience with analytics, take the looker training which is very useful for data analytics professionals.
Users of Looker, as well as Tableau, could now integrate their best features.
Even during the keynote speech of Google Cloud Next ’21, the digital event which the technology giant is hosting, Thomas Kurian, President of Google Cloud, remarked, “Now, we’re eager and proud to reveal that we’ve been combining Tableau, the pioneer in data visualization, alongside Looker.” “Looker’s conceptual model would probably be available to Tableau clients, opening up new tiers of information governance as well as accessibility.
Similarly Kurian, Constellation Head of research Doug Henschen remarked noted Looker’s potential for semantic data modeling will be advantageous to Tableau customers.
Users of Looker will profit from Tableau’s visualization features, which will help them comprehend their information.
Henschen stated that the connection enables it to combine Looker’s semantic modeling and packet forwarding abilities with Tableau as such a data management engine. Looker seems to be a dependable, centralized data source, while Tableau is a front solution for experts and business customers who are adept with data.
Though Looker & Tableau would both be analytical suppliers and occasionally competing for the same clients, he continued, he is indeed not shocked that now the two are working together.
He added that they have hardly been the first rivals to form alliances.
Likewise to how Tableau, Matlab, and Microsoft BI had borrowed MicroStrategy unique front-end strong analytical skills, the long-standing autonomous supplier MicroStrategy is teamed with them to give semantic modeling capabilities.
This is indeed a maneuver by ‘frenemies,’ because it is not the latest, according to Henschen. “Tableau was incredibly well-liked for its visualization skills, whereas Looker offers outstanding semantic modeling features that encourage reusing of data analytics. For shared customers, that’s a win scenario.
While this was going on, Michael Leone of Organizational Strategic Group noted that several Google Cloud users were already using Tableau as the primary technology platform prior the Google Cloud’s acquisition of Looker.
Consequently, the reasonable accommodation may greatly benefit — or even please — those clients who specifically chose Tableau but then received Looker.
Several Google clients tend to use Tableau as the preferred visualization platform, according to Leone. “It counts primarily that both firms are the advantages to those consumers and enterprise customers. Customers of Google/Looker would have more options for how to view information, and Tableau customers will have accessibility to more reliable data.
He continued by saying that Google has indeed valued facilitating choice, but that despite purchasing Looker upwards of 2 years ago, its analytics solution has managed to maintain multi-cloud compatibility with compatibility again for two biggest rivals from Google Cloud, Amazon web services and Azure.
“Liberty of selection counts, but Looker seems to be a solid base which remains to be connected throughout Google’s centralized Data Cloud,” Leone added. “Consumers care about it, and Google has indeed cared about it as well. Organizations are able to use the visualization platform of their choice thanks to something like this, so they will ultimately have access to the full Google Cloud Storage.”
Aleksandra Aleksic, the brand manager of Looker, provided a practical illustration of how businesses can utilize Looker as well as Tableau in tandem at the Cloud Servers Next major speech.
In the illustration, a management consultant at a global retailer detects a decline in activity apparel sales week over week. The group’s marketing people utilize Tableau, as well as the researcher wants to communicate the results with them. The analysis models and analyses data using Looker.
Furthermore, the researcher could gather this information from Looker database engine with targeted advertising from Tableau that create a more complete picture of the firm before releasing the conclusions.
The researcher was able to ascertain that advertising expenditure for workout gear decreased by digging deeper into the dataset collected, particularly information on marketing expenditure from Tableau, and this is the most likely cause of the dip in athletic clothing sales.
The advertising agency could then respond just on expert’s findings after sharing it with clients.
Our employees can create effective visualizations using reliable data by utilizing the interface among Tableau or Looker, Aleksic stated. We could then disseminate these visualizations across our organization to encourage informed choices, effective action, and positive outcomes.
Customers from both systems can benefit from the best compromise including the integration between Looker as well as Tableau, opening them up to many of the key features of another.
According to Jesse, “This connection is very crucial because it frees up a great deal of the customer from having to do the labor.” “Users might not have to know SQL inside and out to utilize either currently. It is currently curatable for us.
Tableau’s user interface is exceptionally feature-rich and straightforward. Irrespective of the main platform users choose, users may now efficiently connect to and utilize their information. This facilitates data expansion depending on an organization’s changing demands and objectives.
My Name is Veera Ravala, Postgraduate in Marketing, Digital Marketing professional at HKR Trainings. I aspire to learn new things to grow professionally. My articles focus on the latest programming courses. You can follow me on LinkedIn.