BIG DATA MANAGEMENT

Intelligent Data Management Cloud on Azure for Asia Pacific Launched by Informatica

Informatica | July 13, 2021

Informatica today announced the launch of Intelligent Data Management Cloud (IDMC), the industry’s first end-to-end AI-powered cloud platform service. It will be available on Microsoft Azure Southeast Asia region for Asia Pacific customers, as a part of the company’s efforts in doubling down cloud business growth in the region. This expansion comes right after the successful collaboration between Informatica and Azure that resulted in 109% year-on-year growth of business in 2020, and Informatica being named both Microsoft’s Global Data Analytics Partner of the Year and Microsoft Malaysia’s Data Analytics Partner of the Year (2020).

Throughout Asia, businesses are accelerating digital transformation efforts fueled by the pandemic as cloud innovation becomes the main enabler of resiliency in business. Informatica’s Intelligent Data Management Cloud on Azure will allow customers and partners the flexibility and scalability required to accelerate to the cloud, with data at the center of this transformation while allowing for local data residency compliance and data sovereignty in the country.

IDC’s Cloud Pulse 2020 survey for Asia Pacific excluding Japan states that on an average, 70% of dependency rate for new and existing enterprise applications has increased significantly in the recent year as companies in the region move quickly to the cloud to innovate with data.

The IMDC is now available on Azure Marketplace. It now joins existing Azure region that Informatica offers in Japan.

Customers and partners can start with the Informatica Cloud Data Integration free service which offers to process up to 500M rows of data per month at no charge. This is done to fast track data integration, transformation, and loading of priority workloads to Azure Data Services for cloud data warehousing, data lakes and analytics use cases.

About Informatica
Informatica is the Enterprise Cloud Data Management leader which empowers businesses to realize the transformative power of data. They have pioneered a new category of software, the Informatica Intelligent Data Management Cloud (IDMC), powered by AI and a cloud-first, cloud-native, end-to-end data management platform that connects, manages and unifies data across any multi-cloud, hybrid system, empowering enterprises to modernize and advance their data strategies. Customers in more than 100 countries and 85 of the Fortune 100 rely on Informatica to drive data-led digital transformation.

Spotlight

Confluent is a stream data platform powered by Apache Kafka and is founded by the team that built Kafka at LinkedIn. The founders went through the process of fully instrumenting everything that happens in a company and making it available as real-time Kafka feeds to all data systems like Hadoop, Search, Newsfeed and so on.


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BUSINESS STRATEGY

Tellius and Databricks Partner to Deliver AI-powered Decision Intelligence for the Data Lakehouse

Tellius | June 28, 2022

Tellius, the AI-driven decision intelligence platform, today announced a partnership with Databricks to give joint customers the ability to run Tellius natural language search queries and automated insights directly on the Databricks Lakehouse Platform, powered by Delta Lake, without the need to move any data. Answering ad-hoc business questions with data typically requires wading through dashboards, reports, or generating custom SQL queries — which is time consuming and may require tool switching or handoffs. After doing all this work, organizations still only know what happened within the data. To understand why metrics change requires further investigation and advanced analysis skills to derive key drivers, trends, and anomalies. The partnership between Databricks and Tellius changes this paradigm. Now, anyone – business users and technical users alike – can use Tellius to engage directly with their data and models in Databricks. With Tellius, organizations can quickly search and analyze their data to identify what is happening with natural language queries, understand why metrics are changing via AI-powered Insights, and determine next best actions with deep insights and AutoML. Connecting to Delta Lake on Databricks only takes a few clicks, and then users can perform a natural language search of their unaggregated data to answer their own questions. They can drill down infinitely to get granular insights, leverage single-click AI analysis to uncover trends, key drivers, and anomalies in their data, and even create predictive models via AutoML in Tellius. These answers and insights can be utilized to write back to source applications to operationalize insights and drive actions. With Tellius and Databricks, customers get: Augmented lakehouse analytics — Allows users to analyze petabytes of live data securely without moving it out of the Databricks Lakehouse Platform Zero-data movement insights — Makes it easier to unearth actionable insights from a multitude of sources on the Databricks Lakehouse Platform through AI-powered analysis of disparate structured and unstructured data Faster data collaboration — Democratizes data access across entire analytics teams without worrying about performance or IT maintenance More consumable AI and ML — Insights and predictions from machine learning workloads built in Databricks can be accessed through natural language search, getting them into production with business users quicker than ever “With our partners at Databricks, we are delivering cloud-native data analytics to accelerate positive business impact from AI and machine learning,” said Ajay Khanna, Founder and CEO of Tellius. “Business users and data professionals can now focus on deriving insights across their multiple data sources and enterprise applications and on taking action based on automated recommendations without compromising on analytics performance.” About Tellius Tellius is an AI-driven decision intelligence platform that enables anyone to get faster insights from their data. The company helps organizations across industries, including financial services, pharmaceutical and life sciences, retail, healthcare, and high technology, accelerate their journey from data to decisions by augmenting human expertise and curiosity with intelligent automation. The company’s platform combines AI- and ML-driven automation with a search interface for ad hoc exploration, allowing users to ask questions of their business data, analyze billions of records in seconds, and gain comprehensive, automated insights in a single platform. Founded in 2016, Tellius is backed by Sands Capital Ventures, Grotech Ventures, and Veraz Investments.

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BUSINESS STRATEGY

HCL Technologies Adopts Intelligent Data Migration Platform from Syniti

HCL Technologies | May 10, 2022

HCL Technologies (HCL), a leading global technology company with a strong legacy of SAP innovation, today announced a strategic partnership with Syniti. This collaboration with Syniti, a global leader in enterprise data management that combines AI-driven software and data expertise, will help develop industry-specific data solutions and deliver higher quality SAP S/4HANA transformations. HCL Technologies will adopt the Syniti Knowledge Platform (SKP) as its strategic data migration platform to provide customers with improved data management strategy and higher quality data. SKP will also help deliver a complete data quality assessment and migration service across working and staging environments, ensuring quality data is securely and efficiently migrated from legacy systems to new SAP solutions. The collaboration between HCL Technologies and Syniti will drive higher-value SAP implementations for customers by providing the robust data solutions needed to steer modern, intelligent processes that leverage AI (artificial intelligence) and ML (machine learning). This partnership will also develop industry-specific S/4HANA accelerators and templates. “We are pleased to announce this partnership to position SKP as our strategic data migration toolset and data partner as part of our overall SAP transformation delivery platform. Data migration success, data quality and its impact on the S/4HANA solutions that we deliver are important factors in the overall quality of the business transformation and are critical for our customers.” Shawn Brodersen, Global Head, SAP Practice, HCL Technologies “We are excited to partner with HCL Technologies, a global leader in SAP and technology-led transformations,” said Kevin Campbell, CEO, Syniti. “Our alliance with HCL Technologies combines our best-in-class software platform with HCL’s industry expertise in aerospace and defense, utilities, consumer packaged goods, manufacturing and life sciences. Together, we will help global enterprises to accelerate their transformations and unlock the benefits of becoming flexible, dynamic enterprises. We look forward to building on our mutual client wins for a collaborative future.” HCL Technologies is a Global SAP Strategic Services Partner with over 25 years’ experience leading complex transformation programs. HCL’s strong legacy of SAP innovation, 10,000+ consultants, leading Digital and Analytics, and Engineering and IoT Works™ practice enable HCL to lead digital transformation across the complete portfolio of new SAP digital technologies.

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BIG DATA MANAGEMENT

Cloudian Partners with WEKA to Deliver High-Performance, Exabyte-Scalable Storage for AI, Machine Learning and Other Advanced Analytics

Cloudian | January 20, 2022

Cloudian® today announced the integration of its HyperStore® object storage with the WEKA Data Platform for AI, providing high-performance, exabyte-scalable private cloud storage for processing iterative analytical workloads. The combined solution unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps, all easily managed under a single namespace. In addition, the new solution reduces the storage TCO associated with data analytics by a third, compared to traditional storage systems. Advanced Analytics Workloads Create Data Storage Challenges Organizations are consuming and creating more data than ever before, and many are applying AI, machine learning (ML) and other advanced analytics on these large data sets to make better decisions in real-time and unlock new revenue streams. These analytics workloads create and use massive data sets that pose significant storage challenges, most importantly the ability to manage the data growth and enable users to extract timely insights from that data. Traditional storage systems simply can’t handle the processing needs or the scalability required for iterative analytics workloads and introduce bottlenecks to productivity and data-driven decision making. Cloudian-WEKA Next Generation Storage Platform Together, Cloudian and WEKA enable organizations to overcome the challenges of accelerating and scaling their data pipelines while lowering data analytics storage costs. WEKA’s data platform, built on WekaFS, addresses the storage challenges posed by today’s enterprise AI workloads and other high-performance applications running on-premises, in the cloud or bursting between platforms. The joint solution offers the simplicity of NAS, the performance of SAN or DAS and the scale of object storage, along with accelerating every stage of the data pipeline from data ingestion to cleansing to modeled results. Integrated through WEKA’s tiering function, Cloudian’s enterprise-grade, software-defined object storage provides the following key benefits: High Performance – Run concurrent workloads while eliminating compute cluster bottlenecks and reducing processing times. Exabyte Scalability – Grow deployments on demand, from terabytes to an exabyte without disruption, achieving the flexibility and elasticity of the public cloud within a private data center or hybrid cloud model. Enterprise-grade Security – Protect data with encryption in flight and at rest, integrated firewall, RBAC/IAM and SAML access controls, and certification with the most rigorous regulatory requirements, such as Common Criteria, FIPS and SEC Rule 17a-4(f). Resiliency – Achieve high data durability with the option to protect and distribute data using replication or erasure coding, thereby eliminating the need for a separate data backup process. Multi-tenancy – Provision multiple users on shared infrastructure without compromising security. Cost-effective – Save on storage costs, as the solution runs on standard x86 hardware with local NVMe SSDs. “As organizations increasingly employ AI, ML and other advanced analytics to extract greater value from their data, they need a modern storage platform that enables fast, easy data processing and management,” said Jonathan Martin, president, WEKA. “The combination of the WEKA Data Platform and Cloudian object storage provides an ideal solution that can seamlessly and cost-effectively scale to meet growing demands.” “When it comes to supporting advanced analytics applications, users shouldn’t have to make tradeoffs between storage performance and capacity,” said Jon Toor, chief marketing officer, Cloudian. “By eliminating any need to compromise, the integration of our HyperStore software with the WEKA Data Platform gives customers a storage foundation that enables them to fully leverage these applications so they can gain new insights from their data and drive greater business and operational success.” About Cloudian Cloudian is the most widely deployed independent provider of object storage. With a native S3 API, it brings the scalability and flexibility of public cloud storage into the data center while providing ransomware protection and reducing TCO by up to 70% compared to traditional SAN/NAS and public cloud. The geo-distributed architecture enables users to manage and protect object and file data across sites—on-premises and in the cloud—from a single platform.

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DATA ARCHITECTURE

ThoughtSpot Expands the Modern Analytics Cloud to Help Companies Dominate the Decade of Data

ThoughtSpot | May 11, 2022

ThoughtSpot, the Modern Analytics Cloud company, today announced a significant update to the organization’s platform during their annual customer conference Beyond 2022 to help organizations around the world dominate the decade of data. These new capabilities include ThoughtSpot Sync, CodeSpot, Bring Your Own Charts, new Liveboard capabilities, and multiple new SpotApps. ThoughtSpot also announced the launch of new editions, including Team Edition, Pro Edition, and a special offer for startups, education institutions, and nonprofits, making it possible for individuals, small teams, and growth companies to take advantage of the Modern Analytics Cloud. The dawning of the decade of data The proliferation of cloud, mobile, and new data sources over the last ten years set the stage for transformational change for every business and sector in society. Now, the rise of new technologies like AI, web3, and 5G are taking this transformation further than ever before, creating a generational shift in power in the market, within organizations, and between consumers and brands. At the core of these shifts in power is data. As these power shifts fundamentally reimagine the world around us, they’re creating new opportunities for businesses bold enough to reimagine themselves in kind. The new ThoughtSpot capabilities give companies a new experience layer that makes it possible to put innovation from across the modern data stack in the hands of every employee to maximize the value of all these different tools. Armed with these new functionalities, customers can confidently accelerate analytics initiatives and adopt the new rules of data as they seek to dominate the decade of data. A deeper look Each of the new elements launched for the Modern Analytics Cloud enables organizations, whether startups or established enterprises, to connect, build, launch, and scale the power of data in their organizations. Connect With multiple new integrations and expanded relationships, connecting ThoughtSpot to any data source or data platform has never been simpler. This includes: Support for Amazon Redshift Serverless means customers can leverage the Modern Analytics Cloud to run and scale analytics on Amazon Web Services without having to provision and manage data warehouse clusters. Snowflake Data Marketplace, including the new Snowflake Data Explorer app, gives customers the ability to create insights from third party data in the Snowflake Data Marketplace. This makes it possible to rapidly prototype insights with new data sources for leading indicators. Databricks Partner connect gives Databricks customers the ability to launch a ThoughtSpot free trial in seconds from the Databricks console. Support for new architectures with connectors for both Dremio and Starburst Galaxy gives customers the ability to leverage Live Analytics and accelerate value from different architectures, including data mesh and the data lake. Build. Organizations can build products, apps, and services faster than ever with ThoughtSpot. CodeSpot is a searchable repository of open-source ThoughtSpot blocks and code samples for developers to accelerate embedding analytics and app development with ThoughtSpot Everywhere. CodeSpot includes reusable, best practice examples of the most common development tasks, such as custom actions, visualization, API and tooling, formulas, and more. ELT Live Analytics templates are readily available custom ELT jobs built to work with SpotApps and Matillion. Any Matillion customer can launch a new use case in a matter of minutes simply by accessing the Matillion job from CodeSpot and mapping the transaction system to your cloud data platform. New third party data blocks leverage TML (ThoughtSpot Modeling Language) to empower customers to use external data to enrich their own proprietary data for more nuanced, meaningful insights. Data providers include Ibotta, Safegraph, Windfall, and FactSet. Launch. Data professionals and analytics engineers are facing increasing demands from businesses to get use cases from development to production quickly. New features from ThoughtSpot arm these professionals with the capabilities they need to do so at scale. These include: Integration with dbt, now generally available, empowers analytics engineers to translate dbt models to TML (ThoughtSpot Modeling Language). With dbt, data teams can more effectively collaborate on modeling data in the cloud data platform, then make those data models immediately consumable with ThoughtSpot. New SpotApps make getting up and running with use case templates for critical use cases simple, dramatically accelerating time to value for customers. These new SpotApps include different templates for transaction systems like ServiceNow, Snowflake, HubSpot, Okta, Google Analytics, Google Ads, Jira, Redshift, and Databricks. Scale. The transformative value of data can only be realized when it’s possible to scale these initiatives to every corner of the business quickly and efficiently. To make this achievable, ThoughtSpot has introduced new capabilities, such as: ThoughtSpot Sync, which enables companies to operationalize insights by using them to automatically trigger actions in other applications and services through APIs. Bring Your Own Charts gives users freedom to engage and see their insights in entirely new ways with the best possible chart, graph, or visualization. With Bring Your Own Charts, customers can bring any visualization from other javascript or d3 libraries directly into ThoughtSpot’s interactive, Live Analytics experience. Monitor, now generally available, scales analytics further by eliminating the need to even log into an analytics platform. Instead, users get automated insights that alert them to changes as they happen. Users can simply create KPIs, then the system continuously scans for changes, outliers, and anomalies. When detected, it goes further, initiating an automated change analysis to uncover the key drivers of the change then pushes all these insights to a user. “The more we talk to customers, the more it’s clear they need an entirely new experience layer for analytics if they want to realize the potential of the modern data stack. The tools built for desktops that deliver static visualizations simply won’t cut it in the decade of data,” said Ajeet Singh, cofounder & Executive Chairman, ThoughtSpot. “With today’s new capabilities, we’re answering the call of customers. Whether they’re looking to bring insights to everyone in their organization, build products and apps with Live Analytics, or launch new use cases, we’re ready to help them make that possible with the Modern Analytics Cloud.” “Data is a vital element of our education products and services. With ThoughtSpot, we’re able to deliver fundamentally new ways to obtain valuable data and share insights that can lead to better student outcomes,” said Patrick Deshler, SVP Technology, Survey & Document Solutions, Data Recognition Corporation. “This ability to incorporate agility directly into our product is critical to driving a differentiated experience for our customers.” See the power of the Modern Analytics Cloud for yourself and start a 30 day free trial today. About ThoughtSpot ThoughtSpot is the Modern Analytics Cloud company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. Companies can put the power of their modern data stack in the hands of every employee, extend the value of their data to partners and customers, and automate entire business processes. ThoughtSpot enables everyone within an organization to limitlessly engage with live data regardless of their cloud data platform, making it easy to achieve granular, actionable insights through Live Analytics. Customers can take advantage of ThoughtSpot’s web and mobile applications to improve decision making for every employee.

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Spotlight

Confluent is a stream data platform powered by Apache Kafka and is founded by the team that built Kafka at LinkedIn. The founders went through the process of fully instrumenting everything that happens in a company and making it available as real-time Kafka feeds to all data systems like Hadoop, Search, Newsfeed and so on.

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