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Cloudera
7d
179
Image Credit: Cloudera
Celebrating a Busy Week of Giving at Cloudera
- Cloudera celebrated its third annual Week of Giving in November.
- This event is a time for Clouderans to spend time giving back to the causes they care about.
- Volunteers spanning nearly every continent volunteered their time to give back to their communities.
- Team members in Cloudera’s Bangalore office spent time creating notebooks and kits for underprivileged students.
- Cloudera’s Sydney office helped Foodbank NSW & ACT in the fight against hunger across Australia.
- Volunteers from Cloudera’s Santa Clara team worked with Second Harvest of Silicon Valley to provide groceries to over 540 local families.
- The Costa Rica office spent a day at Fundación Génesis Costa Rica, an organization that provides vital support to children and families in need.
- Cloudera’s Budapest office spent a day at the REX Dog Home, an animal shelter taking care of animals of all kinds.
- Cloudera's Week of Giving is an initiative cherished by the company to support communities that we live in.
- This year they had volunteers from almost every corner of the world, and there was a significant impact on the projects they worked on.
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Siliconangle
1w
196
Image Credit: Siliconangle
Keepit keeps raising money, closing on $50M in its latest funding round
- Denmark-based cloud-native data protection and backup company Keepit A/S has closed its biggest funding round, raising $50 million.
- The funding round was led by One Peak and the Export and Investment Fund of Denmark.
- Keepit's total venture capital raised is now about $90 million, with previous rounds including a $30 million Series A and a $10 million Series B.
- The funds will be used to enhance Keepit's product, expand its data centers and go-to-market operations, and solidify its position in SaaS data protection.
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Amazon
1w
167
Image Credit: Amazon
Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity
- Amazon SageMaker Lakehouse unified data connectivity addresses the challenges that arise when integrating and analyzing data from multiple sources, services, and applications.
- With SageMaker Lakehouse unified data connectivity, you can set up a connection to a data source using a connection configuration template that is standardized for multiple services.
- SageMaker Lakehouse unified data connectivity supports standard methods for data source connection authorization and authentications, such as basic authorization and OAuth2.
- SageMaker Lakehouse unified data connectivity’s data preview capability helps you map source fields to target schemas, identify needed data transformation, and plan data standardization and normalization steps.
- This post demonstrates how SageMaker Lakehouse unified data connectivity helps your data integration workload by streamlining the establishment and management of connections for various data sources.
- SageMaker Lakehouse unified data connectivity provides a set of APIs for you to use without the need to learn different APIs for various data sources, promoting coding efficiency and productivity.
- The article demonstrates how to set up a connection and run queries using different AWS services such as SageMaker Unified Studio, AWS Glue, and Amazon Athena.
- SageMaker Lakehouse unified data connectivity not only works in SageMaker Unified Studio, but also directly in AWS Glue console without needing to create separate individual connections.
- This new capability can simplify your data journey and help you unlock the full value of your data across AWS services.
- To learn more, refer to Amazon SageMaker Unified Studio.
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Cloudera
1w
12
Image Credit: Cloudera
Cloudera’s Take: What’s in Store for Data and AI in 2025
- Cloudera experts share insights on data and AI for the enterprise in 2025.
- Bridging the gap between business and IT is to get even more important in 2025.
- Enterprises will grow to favor Private LLMs to spur their own AI innovation.
- Hybrid Cloud alone will be insufficient for GenAI next year.
- AI will enter the next stage of Agentic AI in 2025.
- Academic research will fuel the development of legislation for AI guardrails.
- Quantum computing will become the next “tech arms race” in 2025.
- Enterprises will need to grapple with an ever-growing data footprint.
- AI breakthroughs will further accelerate innovations across various industries.
- Cloudera webinar on January 21 to discuss these and other predictions.
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Precisely
1w
176
Image Credit: Precisely
Redefining AIOps IT Workflows with Legacy System Visibility
- To tackle the challenges in understanding AI Operations (AIOps) in IT environments, unified data, workflows, and tools are needed across the IT landscape.
- AIOps combines AI technologies with traditional IT operations, enabling proactive monitoring, efficient troubleshooting, and automated system remediation.
- Complex IT ecosystems made of multiple fragmented systems lacking interoperability can lead to inefficiencies and data silos.
- Legacy systems like IBM i and IBM Z operate in isolation, making real-time monitoring and observability difficult.
- Ironstream offers robust capabilities that seamlessly connect your legacy systems like IBM i and IBM Z into modern AIOps platforms, ensuring traditionally siloed systems are no longer blind spots in your IT landscape.
- To achieve the full benefits of AIOps, you need to create seamless connections between legacy systems like IBM i and IBM Z and ITOps platforms.
- Having the ability to connect your IBM systems to ITOps platforms and AIOps use cases, improves visibility and enhances performance, security, and agility.
- The future of ITOps is agile, data-driven, and resilient, and AIOps is your key to achieving it.
- AI-powered analysis, automation, and insights enable the shift from reactive to proactive IT operations.
- Scalability of the solutions is key for future-ready IT operations without disruptions.
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Siliconangle
1w
277
Image Credit: Siliconangle
Databricks reportedly closing on $9.5B mega funding round
- Databricks is reportedly closing on a mega funding round that could add more than $9.5 billion to its balance sheet.
- The funding round is expected to value Databricks at more than $60 billion.
- Thrive Capital is likely to lead the funding round, with participation from existing investors like Andreessen Horowitz and Insight Partners.
- Databricks plans to use the funds to buy back expiring stock options and issue preferred shares to new investors.
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Atlan
1w
46
Image Credit: Atlan
North Drives Millions in Business Value Through Governance, Self-service, and Atlan
- North, a payments solution provider processing over $100bn annually, has improved data discovery and governance atop their Snowflake- and Sigma-powered data stack by adopting Atlan as their active metadata platform.
- The teams' improvements means they can secure sensitive data, and increase adoption of self-service analytics.
- Daniel Dowdy, Vice President of Data Analytics & Governance, is projecting efficiency gains of $1.4m annually and 200% growth in Sigma adoption while mitigating millions of dollars in risk.
- North struggled with unchecked and unclear data before moving to the Snowflake- and Sigma-powered modern data stack.
- After Snowflake and Sigma, their team introduced Sigma, a business intelligence tool that empowers users to independently access, analyze, and visualize data, offering crucial information in a self-service manner.
- North engineers use Atlan to automatically raise issues related to data assets via Jira and Slack. Data consumers benefit from a comprehensive history of all Jira tickets and Slack conversations relating to specific data assets.
- By affecting a programmatic approach, North’s governance and security improved almost overnight, ultimately leading to millions of dollars in reduced risks.
- With its built-in insights, Atlan has enabled the North team to estimate an annual cost savings of more than $20,000 by deprecating more than 10,000 unused assets and inefficient queries.
- The North team is projecting efficiency gains of $1.4m annually and 200% growth in Sigma adoption while mitigating millions of dollars in risk with Atlan.
- By using AI to simplify complex queries into natural language, North aims to use Atlan to accelerate the enrichment of its data assets in the months and years to come.
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TechBullion
1w
357
Image Credit: TechBullion
The Ultimate Guide to Home Renovation
- Develop a detailed plan to guide your renovation project and stay within budget.
- Address any structural or functional issues before focusing on aesthetics.
- Upgrade your kitchen to enhance functionality and increase resale value.
- Improve storage to make your home feel more organized and spacious.
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TechBullion
1w
351
Image Credit: TechBullion
Firebase Alternatives: A Comprehensive Guide for Developers
- Firebase is a popular backend-as-a-service platform for app development, but it may not be suitable for every developer or project due to limitations such as vendor lock-in, pricing, customization, and compliance issues.
- There are several alternatives to Firebase available, including Genezio, Supabase, AWS Amplify, Back4App, and Hasura, each offering unique features and advantages.
- Developers should evaluate alternatives based on their specific project needs and consider factors like scalability, cost-effectiveness, flexibility, and integration capabilities.
- By carefully evaluating requirements, developers can choose the right platform to ensure long-term success for their applications.
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Siliconangle
1w
336
Image Credit: Siliconangle
Embedded analytics startup Embeddable raises €6M in seed funding
- London-based startup Embeddable has raised €6 million ($6.28 million) in seed funding.
- The funding round was led by OpenOcean, with participation from existing backers Four Rivers and TechStars.
- Embeddable provides a headless architecture for developers to embed interactive analytics in their applications.
- The platform offers custom analytics dashboards, visualizations, and a no-code interface for data views.
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TechBullion
1w
324
Image Credit: TechBullion
Rayobyte Launches Cutting-Edge Community Forum for Proxy Enthusiasts and Web Scraping Professionals
- Rayobyte launched a community forum for proxy enthusiasts and web scraping professionals that demands data-driven insights, facillitating ethical web scraping, online anonymity, and data accessibility.
- The Rayobyte Forum is an ecosystem tailored to empower users through robust resources, expert advice, and active community engagement.
- One of the key highlights of the Rayobyte Forum is its roster of experienced contributors which give valuable insights shared by industry professionals.
- Rayobyte’s commitment to ethical data acquisition is well known, and the forum underscores this dedication and provides a hub for ethical practices.
- From resolving proxy connection issues to optimizing scraping scripts, the Rayobyte Forum provides an interactive platform where members can seek advice and share solutions.
- Collaborations formed here could lead to groundbreaking projects, and the forum fosters networking opportunities by bringing together diverse professionals.
- The Rayobyte Forum acts as a living library of information, with threads covering a wide array of topics.
- Regardless of your background, if you’re passionate about proxies or web scraping, the Rayobyte Forum has something for you.
- Rayobyte plans to continuously improve the forum’s features and expand its offerings with live Q&A sessions with experts, resource downloads, and exclusive tutorials for members.
- Rayobyte offers a wide range of proxy solutions focused on ethical practices and cutting-edge technology
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Amazon
1w
144
Image Credit: Amazon
Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt
- Unified data modeling with dbt allows for end-to-end data lineage analysis with Amazon Athena, Amazon Redshift, and Amazon Neptune.
- Amazon Athena is suitable for one-time queries, Amazon Redshift for complex queries, and Amazon Neptune as a graph database for data lineage analysis.
- A carefully designed architecture and advanced technical solutions are required to merge the data lineage of one-time and complex queries.
- Amazon DataZone offers organization-wide data lineage visualization using AWS services, while dbt provides project-level lineage and supports cross-project integration.
- Integrating Amazon Neptune graph database to store and analyze complex lineage relationships, combined with AWS Step Functions and AWS Lambda functions, results in a fully automated data lineage generation process.
- The solution uses AWS serverless computing and managed services, including Step Functions, Lambda, and EventBridge, providing a highly flexible and scalable design.
- Unified data modeling method simplifies development processes, while end-to-end data lineage graph visualization and analysis helps decision-making and data governance.
- This comprehensive approach balances technical innovation, data governance, operational efficiency, and cost-effectiveness, thus supporting long-term business growth with the adaptability to meet evolving enterprise needs.
- Authors of the article are Nancy Wu, Xu Feng, and Xu Da.
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Amazon
1w
38
Image Credit: Amazon
Accelerate Amazon Redshift secure data use with Satori – Part 2
- Satori, an Amazon Redshift Ready partner, simplifies both the user experience of gaining access to data and the admin practice of granting and revoking access to data in Amazon Redshift.
- Satori enables both just-in-time and self-service access to data.
- Self-service access to data is fully automated and users see the datasets available to them in their personalized data portal. Preconfigured access privileges are applied.
- Just-in-time access to data is similar but requires approval from an admin. Admins benefit from the automation, significantly reducing the amount of time spent on granting and revoking access to data.
- Satori creates a transparent layer in front of the existing Redshift data warehouse. Data consumers don’t have to change how they work with data, install database drivers or compromising on features.
- The ability to facilitate and automate access to data improves the user experience by providing quick access to data while driving innovative decision-making.
- To create self-service and just-in-time rules, admins need to preconfigure the user access rules by specifying access type, user group, duration, and revocation rules.
- Once rules are set, users can request immediate or just-in-time access to data selecting the dataset they want from the personalized data portal within the Satori environment.
- Admins can approve access requests from users, customize the level of access, and set expiration dates.
- Customers can benefit from Satori's automation and implementation of data security controls on databases, data lakes, and data warehouses. The software simplifies the user experience of gaining access to data while helping reduce the amount of time admin’s grant and revoke access.
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Cloudera
1w
251
Image Credit: Cloudera
Cloudera Commits to CISA’s “Secure by Design” Pledge, Strengthening Security for Our Customers
- Cloudera has signed the Cybersecurity and Infrastructure Security Agency (CISA) “Secure by Design” pledge.
- The pledge encourages technology providers to prioritize security throughout the entire product development pipeline.
- Cloudera has committed to building security protocols directly into their development pipeline.
- This proactive approach focuses on prevention, embedding security into the DNA of products from day one.
- Cloudera commits to enhanced proactive security measures, continuous security and compliance monitoring, collaboration with pledge members, support for shared responsibility model, and access to industry-leading security expertise.
- Cloudera reinforces its dedication to protecting customers from potential disruptions.
- These commitments align with Cloudera's mission to empower organizations to transform their data into valuable insights in the most secure and compliant way possible.
- Cloudera's commitment to the Secure by Design pledge sets new standards in the industry.
- For more information, visit Cloudera's Trust Center or try Cloudera for yourself with a 5-day trial on AWS.
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Dzone
1w
247
Image Credit: Dzone
Databricks 101: An Introductory Guide on Navigating and Optimizing This Data Powerhouse
- Databricks is a comprehensive platform for managing and analyzing large datasets with a Workspace acting as a nerve center and Unity Catalog providing a bridge between workspaces.
- Workflows automate routine data processing tasks ensuring reliability and efficiency in data operations on Databricks, and understanding them is essential for streamlining data processes.
- Job Clusters are critical for providing compute resources to Workflows, and Databricks offers several compute resource options to choose from.
- On-Demand Clusters and APCs are better suited for workloads that cannot be interrupted and interactive analysis, respectively, while Spot Instances are suitable for stateful apps with surge usage.
- Photon is a high-performance vectorized query engine that accelerates workloads but can increase costs.
- Databricks Autoscaling is a feature that dynamically adjusts the number of worker nodes in a cluster based on workload demands, but sometimes leads to increased costs.
- Notebooks are invaluable for facilitating chunk-based code execution, debugging efforts, and iterative development.
- Workflows automated sequences run based on predefined triggers, and DAGs provide users with the graphical representation of sequences and dependencies.
- Databricks Workflows promise simplicity and integration, but it also opens up a complex landscape of competition, especially when viewed against established orchestration tools like Apache Airflow and Azure Data Factory.
- Overall, mastering Databricks is crucial, and choosing the right compute options based on workload requirements can reduce bills by 30% or more.
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