Definitive Guide to Select Right Data Warehouse (2020)Sprinkle Data Inc
Choosing the right data warehouse is a big challenge for organisations. In this doc, we have made an end to end comparison of leading data warehouses. Snowflake vs Redshift vs BigQuery vs Hive vs Athena
Sprinkledata.com
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
DataOps for the Modern Data Warehouse on Microsoft Azure @ NDCOslo 2020 - Lac...Lace Lofranco
Talk Description:
The Modern Data Warehouse architecture is a response to the emergence of Big Data, Machine Learning and Advanced Analytics. DevOps is a key aspect of successfully operationalising a multi-source Modern Data Warehouse.
While there are many examples of how to build CI/CD pipelines for traditional applications, applying these concepts to Big Data Analytical Pipelines is a relatively new and emerging area. In this demo heavy session, we will see how to apply DevOps principles to an end-to-end Data Pipeline built on the Microsoft Azure Data Platform with technologies such as Data Factory, Databricks, Data Lake Gen2, Azure Synapse, and AzureDevOps.
Resources: https://aka.ms/mdw-dataops
This document provides an overview of loading data into Azure SQL DW (Synapse Analytics). It discusses extracting source data into text files, landing the data into Azure Data Lake Store Gen2, preparing the data for loading into staging tables using PolyBase or COPY commands, transforming the data, and inserting it into production tables. It also compares ETL vs ELT approaches and SSIS vs Azure Data Factory for data integration. The presenter then demonstrates loading data in Synapse SQL pool and invites any questions.
Azure Data Factory is one of the newer data services in Microsoft Azure and is part of the Cortana Analyics Suite, providing data orchestration and movement capabilities.
This session will describe the key components of Azure Data Factory and take a look at how you create data transformation and movement activities using the online tooling. Additionally, the new tooling that shipped with the recently updated Azure SDK 2.8 will be shown in order to provide a quickstart for your cloud ETL projects.
Lake Database Database Template Map Data in Azure Synapse AnalyticsErwin de Kreuk
Database templates in Synapse Analytics are blueprints which can be used by organizations to plan, architect and design solutions.
How can we use these Database Templates in a day-to-day business, in order to speed up to automate this process?
Map data tool can help us with that
Eugene Polonichko "Architecture of modern data warehouse"Lviv Startup Club
The document discusses the architecture of a modern data warehouse using Microsoft technologies. It describes traditional data warehousing approaches and outlines ten characteristics of a modern data warehouse. It then details Microsoft's approach using Azure Data Factory to ingest diverse data types into Azure Blob Storage, Azure Databricks for analytics and data transformation, and Azure SQL Data Warehouse for combined structured data. It also discusses technologies for storage, visualization, and links for further information.
Develop scalable analytical solutions with Azure Data Factory & Azure SQL Dat...Microsoft Tech Community
In this session you will learn how to develop data pipelines in Azure Data Factory and build a Cloud-based analytical solution adopting modern data warehouse approaches with Azure SQL Data Warehouse and implementing incremental ETL orchestration at scale. With the multiple sources and types of data available in an enterprise today Azure Data factory enables full integration of data and enables direct storage in Azure SQL Data Warehouse for powerful and high-performance query workloads which drive a majority of enterprise applications and business intelligence applications.
Ai & Data Analytics 2018 - Azure Databricks for data scientistAlberto Diaz Martin
This document summarizes a presentation given by Alberto Diaz Martin on Azure Databricks for data scientists. The presentation covered how Databricks can be used for infrastructure management, data exploration and visualization at scale, reducing time to value through model iterations and integrating various ML tools. It also discussed challenges for data scientists and how Databricks addresses them through features like notebooks, frameworks, and optimized infrastructure for deep learning. Demo sections showed EDA, ML pipelines, model export, and deep learning modeling capabilities in Databricks.
DataMinds 2022 Azure Purview Erwin de KreukErwin de Kreuk
Azure Purview is Microsoft's solution for data governance and data lineage. It provides unified data governance across on-premises, multi-cloud and Software as a Service data sources. Azure Purview consists of three main components - the Data Map automates metadata extraction and data lineage, the Data Catalog enables effortless discovery, and Data Insights provides governance over data usage. It is a fully managed cloud service that eliminates the need for manual or homegrown data governance solutions.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
Azure Purview Data Toboggan Erwin de KreukErwin de Kreuk
Azure Purview is Microsoft's cloud-native data governance service that provides unified data discovery, cataloging, and classification across hybrid and multi-cloud environments. It automates the extraction of metadata at scale and identifies data lineage between sources. The service includes a data map, data catalog, and data insights. The data map automates metadata scanning and lineage tracking. The data catalog enables effortless discovery and browsing of classified data. Data insights provides governance reporting across the data estate.
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
Part 1 of a conference workshop. This forms the morning session, which looks at moving from Business Intelligence to Analytics.
Topics Covered: Azure Data Explorer, Azure Data Factory, Azure Synapse Analytics, Event Hubs, HDInsight, Big Data
Cortana Analytics Workshop: Azure Data LakeMSAdvAnalytics
Rajesh Dadhia. This session introduces the newest services in the Cortana Analytics family. Azure Data Lake is a hyper-scale data repository designed for big data analytics workloads. It provides a single place to store any type of data in its native format. In this session, we will show how the HDFS compatibility of Azure Data Lake as a Hadoop File System enables all Hadoop workloads including Azure HDInsight, Hortonworks and Cloudera. Further, we will focus on the key capabilities of the Azure Data Lake that make it an ideal choice for storing, accessing and sharing data for a wide range of analytics applications. Go to https://channel9.msdn.com/ to find the recording of this session.
This document provides an overview of Azure Synapse Analytics, a limitless analytics service that brings together data warehousing and big data analytics capabilities. It discusses how businesses currently have to maintain separate systems for operational data/relational data and big data/semi-structured data, which Azure Synapse addresses by providing a single service for end-to-end analytics using technologies like SQL and Spark across data warehouses and data lakes at cloud scale with unmatched speed.
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics SolutionMSAdvAnalytics
Wee Hyong Tok. With Azure Data Factory (ADF), existing data movement and analytics processing services can be composed into data pipelines that are highly available and managed in the cloud. In this demo-driven session, you learn by example how to build, operationalize, and manage scalable analytics pipelines. Go to https://channel9.msdn.com/ to find the recording of this session.
Azure Data Lake Store is a hyper-scale repository for big data analytics workloads that allows storing petabytes of data in its native format with unlimited storage. Azure Data Lake Analytics is an on-demand analytics job service that runs massively parallel data processing programs and integrates with Visual Studio, charging only for jobs run. U-SQL is a query language that allows querying multiple Azure data sources and includes cognitive capabilities like image tagging and sentiment analysis.
Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health.
From Business Hindsight to Foresight with Azure Synapse AnalyticsKorcomptenz Inc
From Business Hindsight to Foresight with Azure Synapse Analytics
The document discusses how Azure Synapse Analytics can help organizations transition from descriptive analytics of past data to predictive analytics and prescriptive insights. It provides an overview of Azure Synapse's capabilities for data integration, warehousing, and big data analytics. Case studies demonstrate how customers have used Azure Synapse and Power BI to improve operations, customer experiences, and enable predictive maintenance.
Datasaturday Pordenone Azure Purview Erwin de KreukErwin de Kreuk
Azure Purview is Microsoft's solution for unified data governance. It includes three main components:
1. The Purview Data Map automates metadata scanning and lineage identification across hybrid data stores and applies over 100 classifiers and Microsoft sensitivity labels.
2. The Purview Data Catalog enables effortless discovery through semantic search and a business glossary, and shows data lineage with sources, owners, and transformations.
3. Purview Insights provides reports on assets, scans, the glossary, classification, and sensitive data labeling to give visibility into data usage across the estate.
Data saturday Oslo Azure Purview Erwin de KreukErwin de Kreuk
Azure Purview provides unified data governance capabilities including automated data discovery, classification, and lineage visualization. It helps organizations overcome data governance silos, comply with regulations, and increase data agility. The key components of Azure Purview include the Data Map for automated metadata extraction and lineage, the Data Catalog for data discovery and governance, and Insights for monitoring data usage. It supports governance of data across cloud and on-premises environments in a serverless and fully managed platform.
Slider AI - A Comprehensive Overview of Azure Synapse Analytics.pptxjohnadams608390
Azure Synapse Analytics is a cloud-based data analytics platform that provides a single interface to store, manage, and analyze large volumes of data. It offers features like a powerful in-memory analytics engine, data virtualization to access data from multiple sources, and security tools like authentication and encryption. Azure Synapse Analytics enables businesses to rapidly develop insights from their data to drive innovation and growth.
The document discusses how companies can use big data analytics and Azure Databricks to improve their customer experiences and grow their business. It provides an overview of how Wide World Importers seeks to expand its customers through an omni-channel strategy using analytics from data across its retail stores, website, and mobile apps. The document also outlines logical architectures for ingesting, storing, preparing, training models on, and serving data using Azure Databricks and other Azure services.
This document discusses how organizations can leverage big data and artificial intelligence (AI) to drive insights and add intelligence to their solutions. It covers common big data challenges, AWS big data solutions like Amazon S3, Glue, Athena, Redshift, Kinesis, and SageMaker, and how big data can power machine learning. Some key tenets for building big data architectures are using the right tools, leveraging managed services, adopting event-driven design patterns, and enabling ML applications.
During this presentation, we will discuss how SAS can provide an open analytical platform to do artificial intelligence.
We’ll start clarifying what AI and Open mean in the context of driving business value, and we will then illustrate how SAS can support this value creation through the components of the Platform and of the Viya engine. Finally, these different elements will be demonstrated through real life examples and demos.
This document discusses how data and AI on Azure can help higher education institutions in several key areas:
1) Achieving a consistent hybrid learning experience for students on and off campus through conversational AI and digital learning assistants.
2) Simplifying end-to-end research processes by addressing big data and AI requirements through Azure services like Machine Learning and Cognitive Services.
3) Assessing student digital interactions and results to predict potential wellbeing issues using analytics on Azure.
4) Building an end-to-end Azure Modern Data Platform to drive business insights from various institutional data domains.
One of the biggest tradeoffs customers usually make when deploying BI solutions at scale is agility versus governance. Large-scale BI implementations with the right governance structure can take months to design and deploy. In this session, learn how you can avoid making this tradeoff using Amazon QuickSight. Learn how to easily deploy Amazon QuickSight to thousands of users using Active Directory and Federated SSO, while securely accessing your data sources in Amazon VPCs or on-premises. We also cover how to control access to your datasets, implement row-level security, create scheduled email reports, and audit access to your data.
Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad. Enroll in our Azure Data Engineering Course in Hyderabad to gain in-depth knowledge of Microsoft Azure's powerful data processing capabilities. Learn essential skills such as data ingestion, storage, and analytics using Azure services. Our hands-on training, led by industry experts, will equip you with the expertise needed to design and implement robust data solutions. Prepare for a successful career in data engineering with our specialized course in the heart of Hyderabad.
Data weekender4.2 azure purview erwin de kreukErwin de Kreuk
This document provides information about Azure Purview and its capabilities for unified data governance. It discusses:
- Azure Purview allows for automated discovery of data across on-premises, multicloud and SaaS sources through its data map. It enables classification, lineage tracking and compliance.
- The data catalog provides semantic search and browse capabilities along with a business glossary and data lineage visualizations.
- Insights features provide reporting on assets, scans, the business glossary, classifications and labeling to give visibility into data usage across the organization.
- The document demonstrates registering and scanning a Power BI tenant to discover data with Azure Purview.
This document discusses how big data and artificial intelligence (AI) can drive insights and add intelligence to solutions. It covers common big data challenges, AWS big data solutions like data lakes, data cataloging, extract-transform-load (ETL) tools, and analytics services. It also discusses how big data can enable machine learning by providing large datasets for model training. Key takeaways include using the right tools for different analytics jobs, leveraging managed services, and focusing on extracting business value from data.
Apache spark empowering the real time data driven enterprise - StreamAnalytix...Impetus Technologies
Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises.
Join our guest speaker from Forrester Research, VP & Principal Analyst, Mike Gualtieri and StreamAnalytix, Product Head, Anand Venugopal for a discussion on the trends and directions defining the growing importance of Apache Spark for stream processing, machine learning and other advanced data analytics applications.
Azure Purview provides a unified platform for data governance across hybrid and multi-cloud environments. It enables discovery of data assets, visualization of lineage and workflows, and management of a business glossary. Key features include automated scanning and classification of data, a centralized catalog for browsing and searching data, and insights into sensitive data and metadata usage. Purview integrates with services like Azure Synapse, Power BI, and Microsoft 365 to provide enhanced governance capabilities and propagate classifications and labels.
Shop.org 2017 Tech talk do more that just analytics open platforms and sas dr...National Retail Federation
SAS is a leader in analytics and data science platforms. The presentation discusses how open platforms can fuel innovation by allowing organizations to explore and exploit data through an ambidextrous approach. It promotes delivering fast results with large amounts of data and digital transformation. The SAS platform is presented as an open analytics ecosystem that provides a cohesive, inclusive, dependable and powerful environment for data discovery, modeling, analysis and deployment through its in-memory engine, microservices, programming and visual experiences, and cloud capabilities.
By Leveraging AWS Cloud and its services it not only help in reducing the cost but also brings agility and innovation. One of such service BigData provides a paradigm shift by putting smart in everything we do today including smart home, smart city, smart health, smart campus and many more. We will talk about how AWS services can help in reducing the cost and bring agility by leveraging Big Data to bring in innovation to campus.
In this opportunity I spoke for almost 4 hours -with a lunch in between- about the analytics solutions on azure and it's tool for machine learning and cognitive services. I introduced the automated machine learning on Azure with some demos in real time.
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
Similar to Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019) (20)
Website Analytics in My Pocket using Microsoft Fabric (SQLBits 2024)Cathrine Wilhelmsen
The document is about how the author Cathrine Wilhelmsen built her own website analytics dashboard using Microsoft Fabric and Power BI. She collects data from the Cloudflare API and stores it in Microsoft Fabric. This allows her to visualize and access the analytics data on her phone through a mobile app beyond the 30 days retention offered by Cloudflare. In her presentation, she demonstrates how she retrieves the website data, processes it with Microsoft Fabric pipelines, and visualizes it in Power BI for a self-hosted analytics solution.
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)Cathrine Wilhelmsen
Cathrine Wilhelmsen gave a presentation on using Microsoft Data Factory for data integration within Microsoft Fabric. Data Factory allows users to define data pipelines to ingest, transform and orchestrate data workflows. Pipelines contain activities that can copy or move data between different data stores. Connections specify how to connect to these data stores. Dataflows Gen2 provide enhanced orchestration capabilities, including defining activity dependencies and schedules. The presentation demonstrated how to use these capabilities in Data Factory for complex data integration scenarios.
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)Cathrine Wilhelmsen
The Battle of the Data Transformation Tools (Presented as part of the "Batte of the Data Transformation Tools" Learning Path at PASS Data Community Summit on November 16th, 2023)
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...Cathrine Wilhelmsen
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (Presented as part of the "Batte of the Data Transformation Tools" Learning Path at PASS Data Community Summit on November 15th, 2023)
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...Cathrine Wilhelmsen
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power BI (Presented at SQLSaturday Oregon & SW Washington on November 11th, 2023)
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)Cathrine Wilhelmsen
The document is about how the author created a mobile-friendly dashboard for her website analytics using Microsoft Fabric and Power BI. She collects data from the Cloudflare API and stores it in Microsoft Fabric. Then she visualizes the data in Power BI which can be viewed on her phone. This allows her to track website traffic and see which pages are most popular over time. She demonstrates her dashboard and discusses future improvements like comparing statistics across different time periods.
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...Cathrine Wilhelmsen
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (Presented at SQLBits on March 18th, 2023)
We all experience stress in our lives. When the stress is time-limited and manageable, it can be positive and productive. This kind of stress can help you get things done and lead to personal growth. However, when the stress stretches out over longer periods of time and we are unable to manage it, it can be negative and debilitating. This kind of stress can affect your mental health as well as your physical health, and increase the risk of depression and burnout.
The tricky part is that both depression and burnout can hit you hard without the warning signs you might recognize from stress. Where stress barges through your door and yells "hey, it's me!", depression and burnout can silently sneak in and gradually make adjustments until one day you turn around and see them smiling while realizing that you no longer recognize your house. I know, because I've dealt with both. And when I thought I had kicked them out, they both came back for new visits.
I don't have the Answers™️ or Solutions™️ to how to keep them away forever. But in hindsight, there were plenty of warning signs I missed, ignored, or was oblivious to at the time. In this deeply personal session, I will share my story of dealing with both depression and burnout. What were the warning signs? Why did I miss them? Could I have done something differently? And most importantly, what can I - and you - do to help ourselves or our loved ones if we notice that something is not quite right?
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...Cathrine Wilhelmsen
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced World (Presented at SQLBits on March 17th, 2023)
Do you sometimes think the world is moving so fast that you're struggling to keep up?
Does it make you feel a little uncomfortable?
Awesome!
That means that you have ambitions. You want to learn new things, take that next step in your career, achieve your goals. You can do anything if you set your mind to it.
It just might not be easy.
All growth requires some discomfort. You need to manage and balance that discomfort, find a way to push yourself a little bit every day without feeling overwhelmed. In a fast-paced world, you need to know how to break down your goals into smaller chunks, how to prioritize, and how to optimize your learning.
Are you ready to turn your "I can't keep up" into "I can't believe I did all of that in just one year"?
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...Cathrine Wilhelmsen
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup (Presented at SQLBits on March 11th, 2022)
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice for gaining business insights?
We had no idea, but we gave it a go!
Our ambition was to think big, start small, and act fast – to deliver business value early and often.
Did we succeed?
Join us for an honest conversation about why we decided to implement Azure Synapse Analytics alongside Power BI, how we got started, which areas we completely messed up at first, what our current solution looks like, the lessons learned along the way, and the things we would have done differently if we could start all over again.
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)Cathrine Wilhelmsen
6 Tips for Building Confidence as a Public Speaker (Presented at SQLBits on March 10th, 2022)
Do you feel nervous about getting on stage to deliver a presentation?
That was me a few years ago. Palms sweating. Hands shaking. Voice trembling. I could barely breathe and talked at what felt like a thousand words per second. Now, public speaking is one of my favorite hobbies. Sometimes, I even plan my vacations around events! What changed?
There are no shortcuts to building confidence as a public speaker. However, there are many things you can do to make the journey a little easier for yourself. In this session, I share the top tips I have learned over the years. All it takes is a little preparation and practice.
You can do this!
How We Added Replication to QuestDB - JonTheBeachjavier ramirez
Building a database that can beat industry benchmarks is hard work, and we had to use every trick in the book to keep as close to the hardware as possible. In doing so, we initially decided QuestDB would scale only vertically, on a single instance.
A few years later, data replication —for horizontally scaling reads and for high availability— became one of the most demanded features, especially for enterprise and cloud environments. So, we rolled up our sleeves and made it happen.
Today, QuestDB supports an unbounded number of geographically distributed read-replicas without slowing down reads on the primary node, which can ingest data at over 4 million rows per second.
In this talk, I will tell you about the technical decisions we made, and their trade offs. You'll learn how we had to revamp the whole ingestion layer, and how we actually made the primary faster than before when we added multi-threaded Write Ahead Logs to deal with data replication. I'll also discuss how we are leveraging object storage as a central part of the process. And of course, I'll show you a live demo of high-performance multi-region replication in action.
❻❸❼⓿❽❻❷⓿⓿❼ SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY
Amazon DocumentDB(MongoDB와 호환됨)는 빠르고 안정적이며 완전 관리형 데이터베이스 서비스입니다. Amazon DocumentDB를 사용하면 클라우드에서 MongoDB 호환 데이터베이스를 쉽게 설치, 운영 및 규모를 조정할 수 있습니다. Amazon DocumentDB를 사용하면 MongoDB에서 사용하는 것과 동일한 애플리케이션 코드를 실행하고 동일한 드라이버와 도구를 사용하는 것을 실습합니다.
7. Azure Synapse Analytics
limitless analytics service with a unified experience for
ingesting, exploring, analyzing, and visualizing data
for business intelligence and machine learning needs
8. limitless analytics service with a unified experience for
ingesting, exploring, analyzing, and visualizing data
for business intelligence and machine learning needs
Azure Synapse Analytics
9. limitless analytics service with a unified experience for
ingesting, exploring, analyzing, and visualizing data
for business intelligence and machine learning needs
Azure Synapse Analytics
10. limitless analytics service with a unified experience for
ingesting, exploring, analyzing, and visualizing data
for business intelligence and machine learning needs
Azure Synapse Analytics
11. limitless analytics service with a unified experience for
ingesting, exploring, analyzing, and visualizing data
for business intelligence and machine learning needs
Azure Synapse Analytics