Matillion | June 29, 2022
Matillion, the leading enterprise cloud data integration platform, announced Matillion ETL is available now on Databricks Partner Connect, a one-stop portal for discovering and connecting validated data, analytics, and AI tools. Availability in Partner Connect allows customers to easily bring business-critical data from applications, files, and databases into the Databricks Lakehouse Platform without any pre-configuration. Matillion ETL for Delta Lake on Databricks delivers easy-to-use, cloud-native data integration and transformation for the lakehouse, enabling more users to take advantage of the lakehouse architecture.
Matillion's platform supports multiple use cases that enable businesses to achieve faster time to value on their cloud data journey. Matillion ETL's high-efficiency, code-optional environment gives developers everything they need to perform more complex loading tasks, and apply business rules to data pipelines at scale. Similarly, Matillion Data Loader's no-code simplicity empowers data scientists, analysts, and line of business managers to quickly load data into the cloud without coding.
"We are excited to bring on Matillion as a new partner in Partner Connect. They enable a new class of users who are not comfortable or don't want to write code to ingest and transform data on the Databricks Lakehouse Platform. "Now, access to Matillion's GUI-based data integration platform is a matter of a few clicks, empowering anyone to make data ready and available for analytics using the power of the lakehouse architecture."
Adam Conway, SVP of Products at Databricks
Matillion users can perform transformations to prepare data for BI, analytics, machine learning, and artificial intelligence. With the Universal Connectivity feature that gives users the ability to create custom connectors inside Matillion ETL in minutes, users can connect with virtually any data source and quickly build data pipelines to ingest data into Delta Lake on Databricks.
"As enterprises continue to move data workflows to the cloud, there is an enormous opportunity for better performance, speed, and scalability by leveraging the data lakehouse and Matillion's low-code/no-code approach to data integration," said Ciaran Dynes, chief product officer at Matillion. "With these two cloud technologies, enterprises can accelerate their analytics projects, empowering their teams to focus on delivering BI and data science results to their business stakeholders."
In addition to the release of Matillion ETL for Databricks Partner Connect, Matillion announced the public preview of Matillion Data Loader to quickly and easily ingest data at speed and scale into Delta Lake on Databricks. The unified loading experience of both batch and change data capture pipelines in the same interface helps increase user productivity and accelerate time to value. When paired with Matillion's low-code transformation capabilities in Matillion ETL for Databricks, the offering now provides a complete solution for loading and transforming data into the Databricks lakehouse.
Matillion makes the world's data useful with an easy-to-use, cloud-native data integration and transformation platform. Optimized for modern enterprise data teams, only Matillion is built on native integrations to cloud data platforms such as Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse to enable new levels of efficiency and productivity across any organization.
KNIME | June 10, 2022
KNIME, the open source data science company, today announced a strategic partnership with Snowflake, the Data Cloud company, to democratize access to data analytics across all roles and departments.
Understanding data is critical for creating business value. With the global data analytics market worth more than $200 billion, it’s necessary for as many people as possible across roles, departments and industries to have access to analytics in their daily jobs for overall better productivity.
“Many of our customers rely on Snowflake to power virtually any data workload at scale, while utilizing KNIME to gain value from that data.”
Paul Treichler, VP of global partnerships at KNIME
Tarik Dwiek, Snowflake’s head of technology partnerships, added, “In partnership with KNIME, we look to enrich the Snowflake ecosystem with tools that can enable an even greater share of enterprises and both technical and non-technical users of data.”
The joint offering means that users can access and manipulate data in Snowflake with a low-/no-code platform at no cost. KNIME Analytics Platform is a fully featured analytics workflow “designer” that can be used in conjunction with Snowflake’s Data Cloud to perform a broad range of analytics tasks from data prep to data science. Users can leverage the drag-and-drop interface to prepare and explore data, rapidly build analytical models, create data apps, and present results in BI tools such as Tableau or Power BI.
KNIME is flexible and extensible, giving data experts the freedom to work in their preferred environment. Users can build sophisticated analytic models in its low-code/no-code environment or script custom algorithms in a language of their choice with built-in integrations with R, Python, Java and more.
KNIME has a vibrant open source community of users who share their knowledge and expertise in specialized forums. Technical and non-technical teams can make use of this community to leverage pre-built components and workflows to accelerate their time to value and also upskill themselves through comprehensive free training and learning content available from KNIME. Upskilling non-technical teams to use data science and analytics leaves technical teams with greater bandwidth and freedom to concentrate on more complex tasks.
Across industries, enterprises can also take advantage of KNIME’s commercial offering. KNIME Server offers a suite of features for automation, governance, production deployment and MLOps. Snowflake working in concert with KNIME Server enables organizations to move beyond pilot projects and build enterprise-scale data solutions that are compliant and accessible across the organization. Lastly, KNIME extends the deployment flexibility of Snowflake to the analytics layer, allowing enterprises to utilize the right resources for a given workload or scenario.
“We are excited about the partnership between Snowflake and KNIME," said Ryan Bosshart, CEO of phData, the Snowflake 2021 RSI Partner of the Year and KNIME Elite Partner. “We've been building with both Snowflake and KNIME because we believe in platforms and technology that make it easier for people to build data products, in both business and technical roles. I’m excited to see what new use cases are possible with this combination.”
KNIME helps individuals and organizations make sense of data.
KNIME software bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and machine learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies.
BIG DATA MANAGEMENT
IBM | July 07, 2022
IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.
Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020.
As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1
Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems.
Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription.
The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations.
For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation.
"Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale."
Daniel Hernandez, General Manager for Data and AI, IBM
Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides.
"You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients."
Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022.
Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2.
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service.
BIG DATA MANAGEMENT
Alpha Serve | June 07, 2022
Alpha Serve has created the Power BI Connector to help organizations add their ServiceNow information as a data source to Power BI and be able to use it for their specific business reporting and analytics needs.
Microsoft Power BI is a powerful data visualization tool that allows companies to accelerate the integration of all the needed data sources for further analysis and reporting. And the insights received with the tool help to develop and implement smart business decisions.
ServiceNow, in its turn, is a comprehensive cloud platform that helps companies manage digital workflows for their business operations. It combines lots of solutions, including those for automation, analysis, resource management, etc., and allows connecting people, functions, and systems across the organization.
Typically, to connect these two tools, teams use Rest API or CSV files, but the procedure may require additional resources and coding skills. And the solution has a lot of limitations, in particular, limited data amount. Power BI Connector is the first application of its kind on the ServiceNow Store allowing direct Power BI ServiceNow integration.
The app allows users to export ServiceNow data to Power BI for further processing as well as to add ServiceNow to other data sources with Power Query for complex reporting. Power BI Connector has advanced filtering options for more precise and relevant information selection and ensures secure data sharing by setting permissions and access. Professional tech support is also available to help users get the most out of the tool.
It will be especially useful for data analysts and agile teams that need consolidated reporting across all business functions.
"We are happy to present a new BI integration solution — Power BI Connector. The plugin links ServiceNow with Microsoft's most powerful business intelligence platform Power BI. We have noticed that IT companies use dozens of products in their everyday routine to manage the workflow and are continuously looking for applications connecting all their tools to maintain effective production and optimize company processes. That's why we decided to create a new application which has no analogs in the ServiceNow Store."
Anna Odrynska, the Alpha Serve's Chief Strategy Officer
Alpha Serve is a leading software development company with the main focus on product integrations and BI connectors. It is a reliable contractor of IT enterprises and a ServiceNow Technology Partner. The company's main goal is to transform technological expertise into valuable solutions with proven scalability, performance, and high-level data security that help businesses to improve customer satisfaction and effectiveness.