Tag: Data Lake
Databricks SQL is a dedicated workspace for data analysts that comprises a native SQL editor, drag-and-drop dashboards, and built-in connectors for all major business intelligence tools as well as Photon. In this post, Volker Tjaden, an APN Ambassador from Databricks, shares the technical capabilities of Databricks SQL and walks through two examples: ingesting, querying, and visualizing AWS CloudTrail log data, and building near real-time dashboards on data coming from Amazon Kinesis.
Unlocking data intelligence and implementing modern data architectures can turn organizations into data-driven enterprises and help drive business outcomes. Learn how AWS and Accenture are helping customers transform to data-driven organizations through Accenture’s Data Lake Accelerator built on AWS. It’s a one-stop solution for automated data platform creation, managed data transformation, and data and analytics performed in a cloud-native way.
Many organizations leverage unstructured data collected from social media feeds, stock streaming, and data clickstream to gain insights about the needs of their customers. The EZ Lake Access (EZLA) solution developed by TCS centralizes and simplifies access management of the Data Lake House by codifying most of the enterprise access controls in the form of a rule engine. This provides increased efficiencies and easy adoption of the Data Lake House.
There has been a lot of buzz about a new data architecture design pattern called a Lake House. A Lake House approach integrates a data lake with the data warehouse and all of the purpose-built stores so customers no longer have to take a one-size-fits-all approach and are able to select the storage that best suits their needs. Learn how to couple Amazon Redshift with a semantic layer from AtScale to deliver fast, agile, and analysis-ready data to business analysts and data scientists.
Cognizant is providing consulting and execution services for SAP customers to migrate the SAP landscape from on-premises to AWS, with SAP S/4HANA implementation on AWS combining SAP S/4HANA conversion and migration to AWS in a single step using the Cognizant migration factory called SmartMove. This solution provides a risk-free, comprehensive solution to transform customers’ SAP landscape into one that’s intelligent enterprise-ready.
Customers with IBM i and AIX environments are keen to accelerate their modernization with AWS. By reducing complexity or cost, customers can benefit from a low latency, hybrid solution that enables new use cases derived from the connectivity between managed IBM i/AIX and AWS. Connectria is an AWS Migration Competency Partner and audited MSP that provides a fully managed hosting service for IBM i and AIX systems.
When it comes to evaluating tools and technologies that focus on customer data, it can be difficult to understand how one tool differentiates from the next. Tealium was one of the first entrants in the Customer Data Platform (CDP) category and helped shape the industry. As such, Tealium is uniquely positioned to help organizations make the most of their data and offer more ways to deliver high-quality customer data to AWS in real-time.
Embrace Data Sovereignty and Low Latency in Building a Trusted Data Lake with AWS Outposts and Talend
Globalization and digitalization require companies to comply with data protection rules in the limitless world of the internet. Meeting this challenge requires maximum data agility and availability along with minimal data latency. Integration with AWS Outposts makes Talend Data Fabric allows you to quickly integrate, clean, and move data from different sources with low-latency, and meet data sovereignty regulatory requirements for hybrid deployments.
Given the breadth of use cases, data lakes need to be a complete analytical environment with a variety of analytical tools, engines, and languages supporting a variety of workloads. These include traditional analytics, business intelligence, streaming event and Internet of Things (IoT) processing, advanced machine learning, and artificial intelligence processing. Learn how Cazena builds and deploys a production ready data lake in minutes for customers.
Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.