Gemini in BigQuery, Gemini in Looker and Gemini in Databases
> 3 Unprecedented Gemini functionalities
| This is the third installment in our series, where we will explore how Gemini is revolutionizing the database and migration management landscape, providing innovative AI-powered solutions to simplify and optimize these critical processes in enterprise infrastructure. |
GEMINI BIG QUERY
Data preparation is accelerated with AI
Business insights are only as good as the data you use. When working with large data sets from a variety of sources, there are often inconsistent formats, errors and missing data. Therefore, cleaning, transforming and structuring them can be a major hurdle.
To simplify data preparation, validation and enrichment, BigQuery now includes AI-augmented data preparation that helps users clean and manipulate their data. In addition, we enable users to build low-code visual data pipelines, or rebuild legacy pipelines in BigQuery.
Once flows are in production, AI helps find and resolve problems such as schema or data change, significantly reducing the effort associated with maintaining a data pipeline. As the resulting flows run in BigQuery, users also benefit from integrated metadata management, automatic end-to-end data pipeline and capacity management.
Start the data journey
Most data analysis starts with exploration: finding the right data set, understanding the structure of the data, identifying key patterns, and determining the most valuable analytics you want to extract. This step can be cumbersome and time-consuming, especially if you are working with a new data set or if you are new to the team.
To address this problem, Gemini in BigQuery provides new semantic search capabilities to help you find the most relevant tables for your tasks. Leveraging the metadata and profiling information from these Dataplex tables, Gemini in BigQuery displays relevant and executable queries that you can run with just one click.
Reimagining natural language analytics workflows
To increase user productivity, they are also rethinking the end-to-end user experience. The new BigQuery Data Canvas provides a reimagined natural language-based experience for data exploration, curation, manipulation, analysis and visualization, allowing you to explore and design your data journeys in a graphical workflow that mirrors your mental model.
For example, to analyze a recent marketing campaign, you can use simple natural language prompts to discover campaign data sources, integrate with existing customer data, gain insights and share visual reports with executives, all within a single experience.
Improving productivity with SQL and Python code support
Even advanced users sometimes have difficulty remembering all the details of SQL or Python syntax, and navigating numerous tables, columns and relationships can be daunting.
Gemini in BigQuery helps you write and edit SQL or Python code using simple natural language prompts, referencing relevant schema and metadata. You can also take advantage of the chat interface in the BigQuery console to explore tutorials, documentation, and best practices for specific tasks using simple prompts such as, "How can I use BigQuery materialized views?" "How do I enter JSON data?" and "How can I improve query performance?"
Optimize analytics for performance and speed
With the growth of data volumes, analytics practitioners, including data stewards, are finding it increasingly challenging to effectively manage capacity and improve query performance. are introducing recommendations that can help you continuously improve query performance, minimize errors and optimize your platform costs.
GEMINI IN LOOKER
Data preparation is accelerated with AI
With Gemini in Looker, the relationship with data and reporting shifts from a slow, friction-filled process constrained by gatekeepers to a collaborative, intelligent, AI-driven conversation. Gemini's deep integration of models in Looker brings insights to the key user flows that drive your business, and establishes a single source of truth for data with consistent metrics.
Conversational Analytics brings data to life
Conversational Analytics is a dedicated space in Looker for you to converse and interact with business data, as easily as asking a colleague a question in a chat room. Combined with the LookML semantic models available in Looker, we establish a single source of truth for the data, providing consistent metrics across the organization. Now, the entire enterprise, including business teams and analysts, can converse with the data and gain insights in seconds, fully enabling a culture of data-driven decision making.
With Conversational Analytics, everyone can discover patterns and trends in the data, as if you were talking to an in-house data expert; and while the answers come back in seconds, Looker shows you the data behind the insights, so you know the basis is accurate and the method is true.
Intelligent and simple modeling on a reliable basis
In the era of generative AI, ensuring data authenticity and standardizing operational metrics is more than a nice-to-have, it's critical, ensuring that measurements and comparisons across applications and teams are reliable and consistent. Looker's semantic layer is at the heart of Looker's modeling capabilities, powering centrally defined metrics and data relationships that mean truth and accuracy as you move through workflows. With LookML, analysts can work together seamlessly to create universal data definitions and metrics.
Gemini in Looker introduces LookML Assistant, which we hope will enable everyone to quickly harness and enhance the power of their semantic models using natural language. Simply tell Gemini in Looker what you're looking to build, and LookML code will be automatically created for you, setting the stage for governed data, driven by generative AI, easier than ever.
Expanding intelligence for all Looker customers - and beyond
As the BI world has evolved, so have customers' needs. They demand powerful, comprehensive BI tools that are intuitive to use, with self-service exploration, seamless ad hoc analysis and high-quality visualizations, all in a single platform, augmented by generative AI.
They are now offering Looker Studio Pro to Looker licensed users (excluding Embed) at no additional cost, making it easier than ever to get started with BI.
The vision is for Looker to be the single source of truth for both data and modeled metrics that can be consumed anywhere - in products, through partner BI tools or through open SQL APIs. Looker's modeling layer provides a single place to curate and govern the most business-critical metrics, meaning customers can see consistent results no matter where they interact with their data.
Traditionally, BI tools take the user out of the flow of their work. Google believes it can improve this by helping users collaborate on their data wherever they are. With this in mind, we have extended Connections to Google Workspace, with the goal of meeting users where they are, through Slides, Sheets and Chat. Users will be able to automatically create Looker Studio reports from Google Sheets, helping you quickly visualize and share data insights, while Gemini's slide generation in Looker eliminates that blank presentation start, starting with visualizations and reports, and building AI-generated summaries to kick off the presentation right.
Business data insights as easy as asking Google
Gemini in Looker offers a number of new capabilities to help speed up and facilitate analysis tasks and workflows, including data modeling, charting, slideshow generation and more.
Trusted intelligence for the era of generative AI
Looker plays a critical role in the Google Cloud Intelligence Platform, unifying the data ecosystem. By bringing even more intelligence to Looker with Gemini, we make it easier for customers to understand and access their business data for analysts to create dashboards and reports, and for developers to build new semantic models. Join us as we create new experiences with data and analytics, one defined by AI-powered conversational interfaces for data and analytics. It all starts with a simple chat box.
GEMINI IN DATABASE
Gemini on Databases - powering database development and management
At Next '24, it announced a preview of Gemini in Databases, an AI-powered database wizard that simplifies all aspects of database operations, including assisted development, performance optimization, fleet management, governance and migrations.
With Gemini in Databases, companies no longer need to rely exclusively on people with specialized skills and custom resources to manage their databases; Google's proactive AI assistant can help.
In most organizations, developers, database administrators and platform engineers handle various aspects of database development and management.
However, with the proliferation of databases to meet increasing data processing demands, these experts are often overwhelmed by a myriad of database requirements, operational issues and inefficiencies. In addition, with the rapid evolution of database technologies, developers find it difficult to keep up with the latest development techniques, hindering both development quality and productivity. At the same time, "the majority (79%) of IT teams are now using more than one database platform, with 29% of respondents using more than five, and across a wide range of categories, IT professionals cite skills shortages, knowledge gaps, and a rapid need to update and diversify their skills at all levels."
Between developer productivity challenges, performance regressions, security and compliance vulnerabilities, and data migration difficulties, 82% of developers spend 30 minutes a day searching for solutions, according to a Stack Overflow survey.
Gemini in Databases offers an AI-powered wizard that helps at all stages of the database journey without requiring development and operations teams to acquire specialized skills. With Database Studio, developers can build and deploy applications faster with the ability to generate and summarize SQL code from simple natural language statements. With Database Insights, operators can easily optimize performance by leveraging the AI-powered wizard's intelligent insights and recommendations.
With Database Center, platform engineers can manage entire fleets of diverse databases using intelligent dashboards built with AI, proactively assessing availability, data protection, security and compliance issues without the need for custom tools or processes.
Finally, with Database Migration Service, database administrators can streamline and accelerate their database migrations with automatic code and database conversions. With Gemini in Databases, database professionals get all of these capabilities in a single offering that supports both visual and natural language interfaces, allowing them to simplify and reduce the risks of database management.
"As we embark on digital transformation, we are concerned about maintaining our pace of development due to the increasing complexity of the database environments that drive our applications," said Bogdan Capatina, Technical Expert, Database Technologies, Ford Motor Company.
"We manage thousands of databases across hundreds of projects, making it extremely difficult to optimize performance and ensure security. Gemini on Databases is a game changer, bringing the power of assistive AI along the database journey. Now, you can get answers about fleet health in seconds instead of days and act on performance and security recommendations to proactively mitigate potential risks to our applications faster than ever before."
Accelerate application development
With the increased focus on digital transformation and modernization of data platforms, developers who now frequently also play the role of DevOps face the growing burden of not only building, managing and futuring architectures, but also developing applications at a faster pace.
Database Studio enables developers to easily write and understand SQL with intelligent code assistance, code completion and guidance directly in the editor. Developers can use the context-aware chat interface with natural language to build database applications faster using SQL suggestions provided by the AI assistant. These assistive features can easily increase developer productivity, especially in cases where developers are unfamiliar with a particular database dialect or are looking to optimize existing code for better performance and efficiency.
Database Studio provides code support, code completion and guidance directly in the editor. In addition, developers can use a context-aware chat interface that uses natural language to manage databases.
Performance problems
Database Insights enables operators to address their database performance issues through an easy-to-use interface, providing visibility into all database metrics in a single view, saving time and improving productivity.
Database Insights facilitates the resolution of complex database problems by providing in-context explainability for nuanced database concepts such as wait events, database flags, and various
As we come to the end of this series of installments on the exciting innovations presented by Google Cloud at the Google Cloud Next event, we want to highlight our firm commitment at Skytel to incorporate these cutting-edge technologies into all aspects of our BPO services.
Adopting solutions like Gemini not only allows us to stay at the forefront of the industry, but also enables us to offer our customers an even higher level of efficiency, quality and satisfaction with every interaction.
We look forward to implementing these transformative tools and continuing to raise the standard in the delivery of world-class BPO services.
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