Big data open source platforms

What the platform does: Talend's trio of big data integration platforms includes a free basic platform and two paid subscription platforms, all rooted in open-source tools like Apache Spark. The paid platforms, though—one designed for existing data, the other for real-time data streams—come with more power and tech support. Both can clean and parse data, delete duplicate data and detect fraud automatically, among other functions What are the Top Bigdata Platforms and Bigdata Analytics Software: Periscope Data, Microsoft Azure, Amazon Web Service, Google BigQuery, MongoDB, BlueTalon, Informatica PowerCenter Big Data Edition, VMware, Google Bigdata, IBM Big Data, Flytxt, Attivio Active Intelligence Engine, Wavefront, Cloudera Enterprise Bigdata, Palantir Bigdata, Oracle Bigdata Analytics, DataTorrent, Qubole, Syncsort, MapR Converged Data Platform, Hortonworks Data Platform, Amdocs Insight, Splunk Bigdata Analytics. Spark is a mature open-source platform that has been around for six years and has become incredibly popular during that time. That means there is a rich ecosystem of extensions and plugins, making..

31 Big Data Platforms You Should Know Built I

In this paper we compare six of the most important Big Data Open Source Platforms to help companies or organizations choose the most adequate one to their needs. We analyze the following open source platforms - Apache Mahout, MOA, R Project, Vow pal Wabbit, PEGASUS and Graph Lab Create TM What is big data ? Top Bigdata Tools : Bigdata Platforms and Bigdata Analytics Software, Bigdata Benchmark Suites, Data Ingestion Tools, Data preparation tools and platforms, Open Source Big data Enterprise Search Software, In Memory Data Grid Applications, NewSQL Databases, Top Graph Databases, Deep Learning Software Libraries, Top Free Graph Databases, SQL and No SQL Cloud Databases, Free. In addition, Spark works with HDFS, OpenStack and Apache Cassandra, both in the cloud and on-prem, adding another layer of versatility to big data operations for your business. 3. Apache Storm. Storm is another Apache product, a real-time framework for data stream processing, which supports any programming language

Top 53 Bigdata Platforms and Bigdata Analytics Software in

  1. Hence, the big data open source tools list could be categorized on the following basis: data stores like development platforms, development tools, integration tools, for analytics and reporting tools. As we move closer to the big data open source tools list, it can be bewildering. As there is a deep requirement of having all relevant data.
  2. The range of open source tools now available can be bewildering. Here we look at two of the hottest and most innovative areas: Big Data platforms themselves and Big Data search. Big Data Platforms. Seven Big Data platforms covered here: Lumify; Talend Open Studio for Big Data; HPCC Systems Big Data; Apache Storm; Apache Drill; Apache Samoa; Ikano
  3. Apache Spark is one of the most powerful open-source big data analytics tools. It is used by many organizations to process large datasets. It offers high-level operators that make it easy to build parallel apps. Features of Spark: It offers Fast Processing; Has the ability to integrate with Hadoop and existing Hadoop Data; Using Spark an application can be run in a Hadoop cluster, up to 100.
  4. Apache Hadoop is an open source framework for dealing with large quantities of data. It's considered a landmark group of products in the business intelligence and data analytics space, and is comprised of several different components

Without popular open source data platforms like Hadoop, Cassandra, and MongoDB, it's arguable that the big data market simply wouldn't exist as it does today. Many developers and architects are rightly passionate open source software, and will naturally seek to stay pure to the approach. Sometimes this feeling is about the pragmatic. However, please find below a list of other few important open data portals and platforms that permit users to access open data quite easily, study the impact and glean valuable insights. Google dataset search; Dataverse; Open Data Kit; Ckan; Open Data Monitor; Plenar.io; Open Data Impact Map; Conclusion. Open data is the order of the day. The world has gradually started moving towards open systems and open data is rightly in sync with that Big data talent is indeed in great demand these days, and companies are realizing that by running open-source platforms, they'll be the best position to attract the trained people. Open-source.. Datenanalyse, Fast Data und Datenspeicherung 7 interessante Open Source Tools für Big Data 24.04.2017 Autor / Redakteur: Thomas Joos / Nico Litzel Das liegt unter anderem daran, dass große Unternehmen Big-Data-Lösungen entwickeln und dann der Community zur Verfügung stellen, um diese zu verbessern HPCC (High-Performance Computing Cluster), is an open source, big data computing platform developed by LexisNexis Risk Solutions. The public release of HPCC was announced in 2011. The HPCC platform combines a range of big data analysis tools. It is a package solution with tools for data profiling, cleansing, job scheduling and automation. Like Hadoop, it also leverages commodity computing.

The 10 Best Data Analytics And BI Platforms And Tools In 202

Top 15 Big Data Tools (Big Data Analytics Tools) in 202

  1. .NET for Apache Spark brings enterprise coders and big data pros to the same table A year ago, Microsoft enabled.NET developers to work with Apache Spark using C# or F#, instead of Python or Scala...
  2. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate
  3. g, Machine Learning, IoT: Productivity Tools: Management and Collaborations: Governance and Data Quality : Available in Talend Cloud: Support: Community: Web, email.
  4. Search training in big data. Explore Teoma.us, the leading search site for results around the web
  5. Splice Machine is one of the best big data analytics tools. Their architecture is portable across public clouds such as AWS, Azure, and Google
  6. RStudio is a modular data science platform, combining open source and commercial products. The vendor states their open source offerings, such as the RStudio IDE, Shiny, rmarkdown and the many packages in the tidyverse, are used by millions of data scientists around the world to enhance the product
  7. HPCC Systems is an open source, a parallel-processing computing platform for big data processing and analytics. It offers a standard-based web interface to query data. It can runs on commodity hardware, built-in distributed file system, scales out to thousands of nodes and fault resilient

The Open Data Platform (ODP) is a best business data platform and technologies for the enterprise THE OPEN DATA PLATFORM WILL Accelerate the delivery of Big Data solutions by providing a well-defined core platform to target. Define, integrate, test, and certify a standard ODP Core of compatible versions of select Big Data open source projects Flink is an open-source streaming platform capable of running near real-time, fault tolerate processing pipelines, scalable to millions of events per second. Flink enables the execution of batch and stream processing. 2 Stratosphere is an Open Source platform for massively parallel big data analytics. It features a rich set of operators, advanced, iterative data flows, an efficient runtime, and automatic program optimization Pimcore's Open Source Customer Data Platform (CDP) enables you to store and manage master data records of your customers. By aggregating customer activities from different source systems it provides a consistent and unified view of all related data. Impressive features for profile unification, audience segmentation, SSO, and triggering marketing automation to personalize content are included

KNIME is an open source platform for data analysis that comes with more than 1,000 modules, hundreds of ready-to-run example analyses, a set of tools that is integrated into the software, and a lengthy selection of algorithms that users can chose to incorporate. KNIME is used by data scientists and BI executives. 8. Pentaho. The Pentaho Reporting platform is a suite of the company's open. CKAN is open source, free software. This means that you can use it without any license fees, and you retain all rights to the data and metadata you enter Big Data Platforms, Tools, and Research at IBM Ed Pednault CTO, Scalable Analytics Business Analytics and Mathematical Sciences, IBM Research . Please Note: IBM's statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product.

The Future of Open Source Big Data Platforms - insideBIGDAT

  1. Sharing Big Data innovations through open source modules is helpful and promotes Big Data technologies. However, the downside is that users may end up with an Hadoop platform composed of various versions of modules from different sources. Because each Hadoop module has its own curve of maturity, there is a risk of versions incompatibility inside Hadoop platform. In addition, the integration of.
  2. Some analytics platforms have managed to blend these two competing demands quite well, but much of the big data world, especially social media analytics, remains in the shadows. Kalev Leetar
  3. In fact, it is the natural fit for the Big data as some of the core modules of big data tools for Java developers are written in Java. More interestingly most of these big data tools for Java developers are open source. Hence, they are easy to access. Also Read: Top 10 Open Source Big Data Tools in 201
  4. g languages. You can incorporate these Python features in your business. To do this, you need to hire Python developers from a reputed Python development company
  5. DeviceHive is another feature rich Open source IoT platform which distributed under Apache 2.0 license. The DeviceHive is free to use and change. It provides Docker and Kubernetes deployment options. You can download and use it with both public and private cloud and also can scale form a single virtual machine to the enterprise-grade cluster. It has the ability to connect to any device or hacker board via REST API, WebSockets or MQTT. You can even connect such low-end wi-fi enabled devices.
  6. Scales to big data with Apache Spark™ MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components: MLflow Tracking. Record and query experiments: code, data, config, and results Read more. MLflow Projects. Package data science code in a format to reproduce runs on.

sap hana cloud platform . big data . open source Pimcore is available as an Enterprise Subscription or as a free open source Community Edition. How cloud management platforms work Upgradation is required to add more than 5 users. Eucalyptus user identity management can be integrated with existing Microsoft Active Directory or LDAP systems to have fine-grained role-based access control over cloud resources. CloudStack can also orchestrate the. Pentaho, a data integration and business analytics company with an enterprise-class, open source-based platform for big data deployments; Pitney Bowes; Platfora; Quertle; Rocket Fuel Inc. SAP SE, offers the SAP Data Hub to connect data bases of all kinds and runs their own big data solutions through an acquisition (Altiscale) SalesforceIQ ; Sense Networks; Shanghai Data Exchange; SK Telecom.

Apache Hadoop을 중심으로 한 다수의 Open Source Software들은 Big Data 시스템의 규모(Volume)와 다양성(Variety)에 새로운 지평을 제시하고 있을 뿐 아니라, 사업적인 측면에서도 IBM, Oracle, HP 등과 같은 거대 기업에 맞서 다양한 성격의 기업들이 Big Data 시장에서 경쟁할 수 있는 바탕을 제공하고 있다 Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is also an important tool to consider when implementing.. Get up and running fast with the leading open source big data tool Talend Big Data Platform simplifies complex integrations to take advantage of Apache Spark, Databricks, Qubole, AWS, Microsoft Azure, Snowflake, Google Cloud Platform, and NoSQL, and provides integrated data quality so your enterprise can turn big data into trusted insights

Video: 5 Open Source Big Data Analysis Platforms and Tool

50 Top Open Source Tools for Big Data - Datamatio

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. The fundamental platform consists of 4 layers for data exchange, data distribution, computation and storage; The functional platform consists of 3 layers for platform tools, data tools and application tools, focusing on the implementations of various user requirements about functional tools. These construct as a complete technical ecosystem of big data platform and provides one-stop sufficient components. PAT RESEARCH is a B2B discovery platform which provides Best Practices, Buying Guides, Reviews, Ratings, Comparison, Research, Commentary, and Analysis for Enterprise Software and Services. We provide Best Practices, PAT Index™ enabled product reviews and user review comparisons to help IT decision makers such as CEO's, CIO's, Directors, and Executives to identify technologies, software. Press release - Garner Insights - Big Data Platform market 2026- Palantir, Cisco, Accenture, IBM, Micro Focus - published on openPR.co As open source platforms have evolved, the ability to apply compute to unstructured information has exposed an array of platforms and tools available to the business and technical community. We have developed a platform that meets the needs of the analytics user requirements of both structured and unstructured data. This analytics workbench is based on acquisition, transformation, and analysis.

Big Data Open Source Platforms - IEEE Conference Publicatio

Introduction. Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years Upstarts also exploit the open-source licensing model, which is not new, but is increasingly accepted and even sought out by data-management professionals. Apache Hadoop, a nine-year-old open-source data-processing platform first used by Internet giants including Yahoo and Facebook, leads the big-data revolution. Cloudera introduced commercial support for enterprises in 2008, and MapR and.

Semantic technology underpins conversational AI, other big

What is big data ? Top Bigdata Tools in 2020 - Reviews

Ever since we open sourced Hadoop in 2006, Yahoo - and now, Oath - has been committed to opening up its big data infrastructure to the larger developer community. Today, we are taking another major step in this direction by making Vespa, Yahoo's big data processing and serving engine, available as open source on GitHub In this article, I review some of the top open source business intelligence (BI) and reporting tools. In economies where the role of big data and open data are ever-increasing, where do we turn in order to have our data analysed and presented in a precise and readable format? This list covers tools which help to solve this problem. Two years ago I wrote about the top three. In this article, I. Zipline is Airbnb's soon to be open-sourced data management platform specifically designed for ML use cases. It has taken the task of feature generation from months to days and offers features to support end-to-end data management for machine learning. Varant Zanoyan covers Zipline's architecture and dives into how it solves ML-specific problems An open-source big data platform designed and optimized for the Internet of Things (IoT). www.taosdata.com. Topics. iot bigdata time-series database industrial-iot connected-vehicles full-stack monitoring Resources. Readme License. AGPL-3.0 License Releases 55. ver- Latest Dec 13, 2020 + 54 releases Packages 0. No packages published . Contributors 56 + 45 contributors Languages. C 52.9.

Sometimes data scientists want to model Big Data from within Microsoft Excel and RStudio. One favorite open source analytics tool for this is H2O.They can connect Big Data from HDFS, S3, SQL and NoSQL data sources, and then compare the resulting predictions.Java is required to run H2O on Windows 7, OS X 10.9, Ubuntu 12.04 or RHEL/CentOS 6 A: Dremio's Data-as-a-Service platform is frequently deployed on top of multiple database, file system, and object store sources, then made available for data consumers to discover and analyze the data themselves. For example, a common pattern is to deploy Dremio on top of a data lake (eg, Amazon S3, Hadoop, ADLS) and relational databases This video was recorded at FTC 2016 - http://saiconference.com/FTC HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer.. Open Source Big Data Analytics Platform IKANOW's Community Edition is an open source, big data analytics platform that is built with industry-leading technologies such as Hadoop, elasticsearch, and MongoDB. This platform provides enterprises the flexibility, scalability, and openness to quickly and easily search and visualize data in meaningful ways. IKANOW recently integrated the ELK stack. Big Data Program - NOAA. Public open datasets and cloud server platforms for working with the data. Geowiki and Geodata Portal - Kings College ResourceWatch - realtime data about environment (relevant for SDGs) National Neighbourhood Indicators Partnership - US collaborative network of neighbourhood level CSOs that share data for civic action Data (other) ELMO (US) - mobile data collection and.

8 Open Source Big Data Tools to use in 2018 by Vladimir

To understand Spark's potential, it helps to recall the shape of big data one decade ago. In 2008-2009, the big data-as-a-business concept was often conflated with Hadoop technology. Hadoop is an.. Struggling Indian operator Vodafone Idea announced it will work with IBM Services to help it embrace open source at scale across the enterprise by implementing a big data platform on an open source Hadoop framework.. As Vodafone Idea's strategic technology partner, IBM will the end-to-end implementation and management of the big data platform Adunuthula said that about five years ago, eBay make the conscious choice to go all-in with open source software to build its big data platform and to contribute back to the projects as the platform took shape. The idea was that we would not only use the components from Apache, but we also start contributing back, he said. That has been a key theme in eBay for years: how do we. Note that the ODPi (Open Data Platform Initiative) is driving the interoperability across Hadoop projects and IBM's own BigInsights adheres to these standards. IBM and open source. Figure 1: IBM Open Platform. IBM have been heavily involved in many open source software components. The figure approach shows the breadth of involvement in data.

From open enterprise-ready software platforms to analytics building blocks, runtime optimizations, tools, benchmarks and use cases, Intel software makes big data and analytics faster, easier, and more insightful. Technologies. Apache Hadoop* Using simple programming models, Hadoop* is a framework that allows for the distributed processing of large data sets across clusters of computers. It is. BigDataIntegrator Platform: perhaps the most concrete project result, the BDI is a flexible and open-source platform that can be more easily deployed and customised to build Big Data pipelines that address open-ended challenges. Based on the Docker virtualization, the base platform is enriched with a layer of services that support the workflows' setup, creation and maintenance. Supported by.

Top 10 Open Source Big Data Tools in 2019 - ELE Time

  1. Simplify Big Data Analytics with Open Source Software Nov. 2, 2015 — At IoT Day in San Francisco, Intel discussed the continued growth of an ecosystem around the Trusted Analytics Platform (TAP), including solutions being deployed with Levi Strauss and Co.* and Honeywell*. TAP is an open source project initiated by Intel that simplifies and accelerates the creation of secure, high.
  2. Big Data innovations are shared through open-source platforms which are helpful to promote Big Data technologies. However, users facing difficulties due various versions of modules from different sources combined into a Hadoop framework. Because each Hadoop module has its own curve of maturity, there is a risk of version incompatibility inside the Hadoop framework. In addition, the integration.
  3. Expand your open source stack with a free open source ETL tool for data integration and data transformation anywhere. Work with the latest cloud applications and platforms or traditional databases and applications using Open Studio for Data Integration to design and deploy quickly with graphical tools, native code generation, and 100s of pre-built components and connectors
  4. Data sources. All big data solutions start with one or more data sources. Examples include: Application data stores, such as relational databases. Static files produced by applications, such as web server log files. Real-time data sources, such as IoT devices. Data storage. Data for batch processing operations is typically stored in a distributed file store that can hold high volumes of large.
  5. Hopefully, someday, a data scientist can provide those insights but platforms like OpenText™ Big Data Analytics includes easy-to-use, drag-and-drop features to load and integrate different data sources from the front end or the back end, in the cloud. Now, I say hopefully because requirements for data scientists are no longer the same. Knowledge of coding is often not required. According to.

9 Useful Open Source Big Data Tools - Enterprise Apps Toda

InfoQ Homepage News Capgemini Apollo: An Open Source Microservice and Big Data Platform Discover QCon Plus by InfoQ: A Virtual Conference for Senior Software Engineers and Architects (Nov 4-18 We are the Data Platform Technology team within Visa. We collaborate with every other team at Visa to deliver on our broad mandate of Data Platforms that are secure, robust, and effective. To achieve this, we continuously and proactively reflect, learn, and commit to develop our platform, our proces..

Top 10 Big Data Tools for Analysis - TechVidva

Top Big Data Platforms Comparison and Reviews 202

Big Data Deployment Models: Open Vs

This open-source software can also manage Jaspersoft paid BI reporting and analytics platform. 7. Knime. KNIME is an open-source platform for data analysis that comes with more than 1,000 modules. The ability to prospect and clean the big data is essential in the 21 century. Proper tools are prerequisite to compete with your rivalries and add edges to your business. I make a list of 30 top big data tools for you as reference. Part 1: Data Extraction Tools. Part 2: Open Source Data tools. Part 3: Data Visualization. Part 4: Sentiment Analysi

These Are The Best Free Open Data Sources Anyone Can Us

  1. go 소개와 활용 1. Open Cloud Engine Open Source Big Data Platform Fla
  2. The technology powering the data platform is designed to interoperate seamlessly with customers' existing IT infrastructures and deliver capabilities beyond what is possible with standard 'open source' software. At its core, Skywise helps better manage complex data environments with many interdependencies so that users can unlock data in service of business outcomes
  3. A decade ago, Red Hat CEO Jim Whitehurst predicted that open source tools and platforms would become pervasive in IT. Fast-forward to today, and that prediction has come true, with profound implications for the employment market. Today, it is almost impossible to name a major player in IT that has not embraced open source, Whitehurst [
  4. The Hortonworks Data Platform is a secure and open source Apache Hadoop distribution based on a centralized architecture (YARN). Hortonworks provides users the ability to run the platform in the data center as well as on the public cloud of choice. The tool includes a range of processing engines that enable users to interact with data in multiple ways, and applications for big data analytics.
  5. Hadoop is by far the most popular implementation of MapReduce, being an entirely open source platform for handling Big Data. It is flexible enough to be able to work with multiple data sources.

As the United States military marches further into the age of networked warfare, data networks and the mobile platforms to distribute and access them will become even more important. This fall, the (retired) eighth Vice Chairman of the Joint Chiefs of Staff described a potential future of the military that's founded not only in open source thinking, but in next-generation user interfaces and. D3 or Data Driven Document is a Javascript library for big data visualisations in virtually any way you want. This is not a tool, like the others and the user needs a good grasp over javascript to give the collected data a shape. The manipulated data are rendered through HTML, SVG, and CSS, so there is no place for old browsers (IE 7 or 8) as they don't support SVG (Scalable Vector Graphics) The open source framework hadoop is somewhat immature and big data analytics companies are now eyeing on Hadoop vendors- a growing community that delivers robust capabilities, tools and innovations for improvised commercial hadoop big data solutions. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support

The Open-Source Answer to Big Data PCWorl

Pivotal also joined a host of other Big Data heavyweights in announcing the new Open Data Platform (ODP). The ODP will promote Big Data technologies based on open source software from the Apache Hadoop ecosystem and optimize testing among and across the ecosystem's vendors, the company said in a news release. These efforts will accelerate. Pangeo: An Open Source Big Data Climate Science Platform is a project designed to solve one of climate science's most pressing challenges: accessing and utilizing the explosive growth in the size of climate datasets, which have become a bulky but indispensable tool for scientific inquiry in climate change research

In the midst of this big data rush, Hadoop, as an on-premise or cloud-based platform has been heavily promoted as the one-size fits all solution for the business world's big data problems. While analyzing big data using Hadoop has lived up to much of the hype, there are certain situations where running workloads on a traditional database may be the better solution H2O.ai is the creator of H2O the leading open source machine learning and artificial intelligence platform trusted by data scientists across 14K enterprises globally. Our vision is to democratize intelligence for everyone with our award winning AI to do AI data science platform, Driverless AI Open Source, Distributed Machine Learning for Everyone. H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more

Unlocking the value of your data assets with talend 6TechUK calls on government to close the big data skills gap

7 interessante Open Source Tools für Big Data

Big Data Analytics is a multi-disciplinary open access, peer-reviewed journal, which welcomes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of big data science analytics. Spanning the life sciences, social sciences, engineering, physical and mathematical sciences, Big Data Analytics aims to provide a. The suite of capabilities within CSAAC is enabled by the Big Data Platform (BDP). BDP is a DISA-developed open source solution that supports the data ingest, correlation, and visualization infrastructure. The BDP common architecture can be installed across hundreds of servers in several hours, according to Bob Landreth, BDP program manager. BDP enables data, visualizations, and analytics from.

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Open Data; big data; Open Source; open government; Open Innovation; TopCoder; In the time it took you to read this sentence, NASA gathered approximately 1.73 gigabytes of data from our nearly 100 currently active missions! We do this every hour, every day, every year - and the collection rate is growing exponentially. Handling, storing, and managing this data is a massive challenge. Our data. Big data refers to large amounts of data produced very quickly by a high number of diverse sources. Data can either be created by people or generated by machines, such as sensors gathering climate information, satellite imagery, digital pictures and videos, purchase transaction records, GPS signals, etc. It covers many sectors, from healthcare to transport and energy Open-source ecommerce platforms are solutions in which you can modify all aspects of the code. This type of ecommerce platform is popular with development and IT heavy organizations who want control of their ecommerce environment. Using an open-source ecommerce platform means you — the brand — are responsible for: PCI Compliance Welcome to the home page of the ASTERIX Big Data management research project, the NSF-sponsored effort that led to the creation of the Apache AsterixDB Big Data Management System (BDMS). That open source data management platform was the result of about four years of initial R&D (2009-2013) involving researchers at UC Irvine, UC Riverside, and UC San Diego. The resulting Apache AsterixDB code. Table 1 provides a list of the available open source big-data solutions, including traditional batch and streaming applications. Nearly a year before Storm was introduced to open source, Yahoo!'s S4 distributed stream computing platform was open sourced to Apache. S4 was released in October 2010 and provides a high-performance computing (HPC) platform that hides the complexity of parallel. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion

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