BIG DATA MANAGEMENT,DATA SCIENCE
Qlik | September 27, 2022
Qlik® today announced two significant enhancements to its partnership with Databricks that make it easier than ever for customers to combine Qlik’s solutions and Databricks to advance their cloud analytics strategies. First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability in Qlik Data Integration, which will simplify and improve customers' ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud® with Databricks Partner Connect, enhancing the Qlik Data Analytics trial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact.
“We’re excited about the potential of Qlik’s Databricks Lakehouse (Delta) Endpoint to seamlessly and efficiently deliver the data customers need to drive more value from their investment in the Databricks Lakehouse. “And, with Qlik Analytics now integrated with Databricks Partner Connect, we are making it even easier for customers to discover, use and share data-driven insights across their organizations.”
Roger Murff, VP of Technology Partners at Databricks
Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks. This gives organizations the ability to cost effectively drive more data from a wide range of enterprise data sources, including SAP and Mainframe, into the Databricks Lakehouse while leveraging their cloud provider of choice such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure.
Qlik has also recently integrated Qlik Cloud with Databricks Partner Connect. Databricks customers can now seamlessly experience Qlik Sense® SaaS within the Databricks Lakehouse Platform through an existing Qlik tenant or a free Qlik trial. The experience includes automatic configuration of connectivity to the customer’s Databricks environment, making it easier for Databricks customers to experience the power of Qlik Cloud.
Both the new Databricks Lakehouse (Delta) Endpoint and Partner Connect integration demonstrate Qlik’s commitment to supporting customers like J.B. Hunt in their efforts to combine Qlik and Databricks for impact.
“We’re seeing more demand for real-time data related to shippers and carriers in order to provide up-to-the-minute information on how they are performing. Qlik and Databricks help us to meet those demands,” said Joe Spinelle, Director of Engineering and Technology at J.B. Hunt.
“As they migrate more and more to the cloud, Databricks customers want strategic partners that make it as easy as possible to deliver and analyze data for impact,” said Itamar Ankorion, SVP of Technology Alliances at Qlik. “With our new Databricks Lakehouse Endpoint and Databricks Partner Connect integration, Qlik is clearly demonstrating its alignment with Databricks and our dedication to the Databricks community to deliver an amazing experience that furthers their overall data strategies.”
Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud®, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.
BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE
Stardog | September 26, 2022
Stardog, the leading Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — a seamless end-to-end user experience without the burden of moving or copying data.
Together, Stardog's availability on Databricks Partner Connect enables joint customers to:
Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.
"Data-driven enterprises are increasingly looking to build more context around their data and deliver a flexible semantic layer on top of their Databricks Lakehouse. "Stardog's Enterprise Knowledge Graph offers a rich semantic layer that complements and enriches a customer's lakehouse and we are excited to partner with them to bring these capabilities to Databricks Partner Connect."
Roger Murff, VP of Technology Partners at Databricks
A commissioned Forrester Consulting Total Economic Impact™ study concluded that a composite organization using Stardog's Enterprise Knowledge Graph platform realized a 320 percent return on investment over three years driven by $3.8 million in improved productivity of data scientists and engineers from faster analytics development, $2.6 million in infrastructure savings from avoided copying and moving data, and $2.4 million in incremental profits from enhanced quantity, quality, and speed of insights.
"Our mission at Stardog is to help companies unite their data to unleash insight faster than ever before," said Kendall Clark, Founder and CEO at Stardog. "Databricks Partner Connect enables Stardog to deliver a seamless experience for Databricks customers to quickly add a semantic layer to their lakehouse, unlock insights in their data, and discover more value-impacting analytics use cases."
Stardog is the ultimate semantic data layer to get better insight faster. Organizations like Boehringer Ingelheim, Schneider Electric, and NASA rely on the Stardog Enterprise Knowledge Graph to accelerate insights from data lakes, data warehouses, or any enterprise data source.
BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE
Makersite | September 28, 2022
Makersite, a world leader in bringing sustainability and cost insights into the early stage design process for the world’s leading brands, today announced partnering with Autodesk, the leader in product design software. The new partnership combines Makersite’s environmental impact and cost data with Autodesk Fusion 360’s product design data.
Sustainability begins at the heart of the product: its design phase. Still, less than 1% of products have sustainability as a design parameter. Even though the general public’s wish for sustainable products grows and emission regulations worldwide are becoming more and more, incorporating sustainability at the design level has been a challenge for most product designers in the past. Makersite’s partnership with Autodesk is changing this.
The new Fusion 360 plug-in features:
Allows designers to have Makersite instantly calculate the environmental and cost impacts of their design at the push of a button
Gives Fusion 360 users access to over 300 materials, cost, and sustainability insights based on the used structure, materials, and weight
Provides enhanced data sets on over 50 decision criteria such as compliance, risk, health, and safety in real-time
With this ground-breaking approach, product designers will no longer depend on experts or consultancies to design sustainable products. Instead, enterprise manufacturers will be able to use their own material masters and procurement data to enable teams to work toward sustainability goals led by design. This integration will enable more sustainable and successful designs, eliminate duplicative efforts and decrease time to market.
“The stats tell us that 80% of the ecological impacts of a product are locked down in the design phase. Therefore, the design phase of a product is the first and most necessary stage to get more sustainable goods into the world successfully,” shares Neil D’Souza, founder of Makersite. “However, eco-design is only feasible when designers have data about the sustainability of their product and its compliance, costing, environmental, health, and safety criteria. By integrating our data, AI, and calculation engines into Fusion, product designers are provided with clear and actionable insights so they can decide how to make their designs more sustainable,” D’Souza concludes.
“It’s Autodesk’s intent to make designing for sustainability easily accessible, and ultimately intuitive, to product designers,” said Zoé Bezpalko, Autodesk Senior Design and Manufacturing Sustainability Manager. “By partnering with Makersite, we’ve created a holistic workflow within Fusion that provides insights into sustainable design directly within the design environment. Data-driven analysis from Makersite will enable manufacturers to make better decisions about creating safer, more sustainable products,” she said.
“Companies are setting ambitious sustainability goals at high levels, sometimes as required by policy, but increasingly due to customer demand and as a source of competitive differentiation. The data that drives achieving those goals are often in disparate systems throughout the organization,” said Stephen Hooper, Autodesk Vice President & General Manager, Fusion 360. “We’re connecting relevant LCA data to the Fusion design workspace to help manufacturers meet their important sustainability goals,” said Hooper.
Autodesk will hold its premier annual conference for product designers and manufacturers, Autodesk University, in New Orleans September 27-29, 2022. Makersite will take the stage with Zoé Bezpalko to present the plug-in to attendees during the conference.
Makersite's SaaS platform delivers enterprise digital twins to enable change in complex business environments. By intelligently mapping customers' product data via AI with live data from 140+ supply chain databases, Makersite instantly delivers deep-tier supply chain twins with 90%+ accuracy. Customers can assess the digital product twins across 30+ business criteria such as risk, sustainability, compliance, and cost. The platform has many applications, helping global enterprises build resilient supply chains, accelerate product innovation, and achieve NetZero.