Apache HBase Integrations

OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework: Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management Customer 360 View Data Governance Business Glossary Meta Data Management

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools. Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese.

Organize your Code Snippets by assigning labels or grouping into folders. Generate Code Screenshots, Share and Discover reusable snippets. Codekeep lets you store and share bits of code with other users. Snippets can be organized into folders/labels for reuse. Tagging Labels and Organizing code snippets lets you quickly find and reuse the snippets you want. No more switching back and forth between IDES to find the code snippets or open your code repository to find what you need. Organize your code snippets!! Save time and Increase productivity. Reduce context switching. Switching between projects to find reusable snippets. Store snippets here for later use. Keep your notes here. Use CodeKeep while learning to create snippets containing the summary. Search for snippets. Quickly find reusable and modular snippets. Reuse snippets. Import snippets using CodeKeep extension, for later reference.

IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it finds in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine.

Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.

Akira AI gives best-in-class explainability, accuracy, scalability, stability, and speed in their application. Provide transparent, robust, trustworthy, and fair applications with responsible AI. Transforming the way enterprise work with end-to-end model deployment, computer vision techniques and machine learning solutions. Enable actionable insights to solve business-impacting ML model issues. Build compliant and responsible AI systems with proactive bias monitoring capabilities. Explainable ML and quality management solutions that open the AI black box to understand and optimize the correct inner workings of the model. Intelligent automation-enabled processes reduce operational hindrances and optimize workforce productivity. Build AI-quality solutions that optimize, explain, and monitor ML models. Improve performance, transparency, and robustness. Improve AI outcomes and drive model performance by increasing model velocity.

Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.

You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.

Set up cloud environments quickly for ad hoc development, testing and productivity for your IT and business users. Reduce the risks and costs of maintaining your data lake by implementing comprehensive data governance, including end-to-end data lineage, for business users. Improve cost savings by delivering clean, consistent and timely information for your data lakes, data warehouses or big data projects, while consolidating applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job generation, type-ahead search, and backwards capability, while designing once and executing anywhere. Create data integration flows and enforce data governance and quality rules with a cognitive design that recognizes and suggests usage patterns. Improve visibility and information governance by enabling complete, authoritative views of information with proof of lineage and quality.

Uncover hidden sensitive data locations within your enterprise through Mage's patented Sensitive Data Discovery module. Find data hidden in all types of data stores in the most obscure locations, be it structured, unstructured, Big Data, or on the Cloud. Leverage the power of Artificial Intelligence and Natural Language Processing to uncover data in the most complex of locations. Ensure efficient identification of sensitive data with minimal false positives with a patented approach to data discovery. Configure any additional data classifications over and above the 70+ out of the box data classifications covering all popular PII and PHI data. Schedule sample, full, or even incremental scans through a simplified discovery process.

Feature flags for java made easy. Enable. and disable features at runtime - no deployment. Implement multiple paths in your code with predicates evaluated dynamically (if/then/else). Enable features not only with flag values but also drive access with roles and groups (Canary Release). Different frameworks supported starting by Spring Security. Implement custom predicates (Strategy Pattern) to evaluate if a feature is enabled. Some are provided out of the box: White/Black lists ,Time based, Expression based. Connect external source like a Drools rule engine. Keep your code clean and readable: Avoid nested if statements but use annotations. Thanks to Spring AOP target implementation is pick at runtime, and thus driven by feature statuses. For each features execution, ff4j evaluates the predicate therefore it's possible to collect and record events, metrics to compute nice dashboards or draw curves for features usage over time.

Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. Support for ACID and eventual consistency. Support for various storage backends like Apache Cassandra, Apache HBase and Oracle BerkeleyDB. Support for global graph data analytics, reporting, and ETL through integration with big data platforms like Apache Spark, Apache Giraph and Apache Hadoop. Native integration with the TinkerPop graph stack for Gremlin graph query language, Gremlin graph server and Gremlin applications.

Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool. Standardize authorization method across all Hadoop components. Enhanced support for different authorization methods - Role based access control etc.

Today’s always-on economy is generating data at ever-increasing rates. You know it’s essential to be data-driven and use that data to react and innovate quickly so you can outpace your competition. What if you could simplify data preparation and data provisioning? What if you could more easily perform database analysis and share data insights with data analysts across teams? What if you could do all this and realize a time savings of up to 40%? Used in conjunction with Toad® Data Point, Toad Intelligence Central is a cost-effective, server–based application that transfers power back to your business. Improve collaboration among Toad users through secure, governed access to SQL scripts, project artifacts, provisioned data and automation workflows. Easily abstract structured and unstructured data sources through advanced data connectivity to create refreshable datasets for use by any Toad user.

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

Responsive web design, WEBDEV allows you to easily develop Internet and Intranet sites and applications (WEB & SaaS) to manage data and processes. WEBDEV also generates PHP. WINDEV supports all databases. WEBDEV also supports all the databases that use ODBC drivers or OLEDB providers. The WINDEV, WEBDEV and WINDEV Mobile environments are compatible and share project elements. It has never been easier to build multi-target applications. The developer can focus on key business requirements, and not on the code, applications can finally meet your needs. Up to 20 times less code, develop applications in no time! Shorter time to market, allows you to gain market share. Software is easier to develop and improved reliability. Complete application RAD generator for PC, web, and mobile, template creation (patterns, inheritance & MVP). The ease of use and speed that allow you to develop and realize even your most ambitious projects.

Thanks to its full integration, legendary ease of use, and advanced technology, WINDEV allows you to easily develop large-scale projects in Windows, Linux, .NET, Java, and much more! (Full compatibility with web, mobile, Android, iOS, etc.) WINDEV creates applications for Windows, Linux, and Mac. WEBDEV recompiles them for the Internet. WINDEV Mobile recompiles them for tablets or smartphones. Use the same project, interfaces, objects, elements, and source code regardless of the target. Make the most of your developments, and deploy faster on all devices. The ability to simply recompile an application for different targets is a decisive advantage. It guarantees continuity and the ability to respond to changes. Several automatic features are available. Portable code and objects (for Web browsers and Mobile code). WINDEV supports all the databases that use ODBC drivers or OLEDB providers.

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration.

The Knox API Gateway is designed as a reverse proxy with consideration for pluggability in the areas of policy enforcement, through providers and the backend services for which it proxies requests. Policy enforcement ranges from authentication/federation, authorization, audit, dispatch, hostmapping and content rewrite rules. Policy is enforced through a chain of providers that are defined within the topology deployment descriptor for each Apache Hadoop cluster gated by Knox. The cluster definition is also defined within the topology deployment descriptor and provides the Knox Gateway with the layout of the cluster for purposes of routing and translation between user facing URLs and cluster internals. Each Apache Hadoop cluster that is protected by Knox has its set of REST APIs represented by a single cluster specific application context path. This allows the Knox Gateway to both protect multiple clusters and present the REST API consumer with a single endpoint.

Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes.

Mage™ Dynamic Data Masking module of the Mage data security platform has been designed with the end customer needs taken into consideration. Mage™ Dynamic Data Masking has been developed working alongside our customers, to address the specific needs and requirements they have. As a result, this product has evolved in a way to meet all the use cases that an enterprise could possibly have. Most other solutions in the market are either a part of an acquisition or are developed to meet only a specific use case. Mage™ Dynamic Data Masking has been designed to deliver adequate protection to sensitive data in production to application and database users while simultaneously integrating seamlessly with an organization's existing IT framework without the requirement of any additional architectural changes.​

Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark. Bigtop packages Hadoop RPMs and DEBs, so that you can manage and maintain your Hadoop cluster. Bigtop provides an integrated smoke testing framework, alongside a suite of over 50 test files. Bigtop provides vagrant recipes, raw images, and (work-in-progress) docker recipes for deploying Hadoop from zero. Bigtop support many Operating Systems, including Debian, Ubuntu, CentOS, Fedora, openSUSE and many others. Bigtop includes tools and a framework for testing at various levels (packaging, platform, runtime, etc.) for both initial deployments as well as upgrade scenarios for the entire data platform, not just the individual components.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. IPython interpreter provides comparable user experience like Jupyter Notebook. This release includes Note level dynamic form, note revision comparator and ability to run paragraph sequentially, instead of simultaneous paragraph execution in previous releases. Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use.

Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date.

Powerful computing at your fingertips. Parallel computing, groundbreaking algorithms, so what are you waiting for? Designed to empower data scientists in business. Get the fastest computing in an all-inclusive time-series platform. Shapelets provides you with analytical features such as causality, discords and motif discovery, forecasting, clustering, etc. Run, extend and integrate your own algorithms into the Shapelets platform to make the most of Big Data analysis. Shapelets integrates seamlessly with any data collection and storage solution. It also integrates with MS Office and any other visualization tool to simplify and share insights without any technical acumen. Our UI works with the server to bring you interactive visualizations. You can make the most of your metadata and represent it in the many different visual graphs provided by our modern interface. Shapelets enables users from the oil, gas, and energy industry to perform real-time analysis of operational data.

RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.

Every day, your business generates countless data. Used correctly, this data is invaluable. Aggregated together, this strategic information opens up an ocean of opportunities. Expert in business intelligence, DigDash accompanies you through a reliable solution to simply exploit your data and increase your performance today. From design to deployment, from questions of use to development needs, DigDash is by your side for the long term, in a close relationship. In a desire for continuous improvement, flexibility is at the heart of our DNA. Our software stands out for its ease of use at all levels. The solution is recognized as one of the most powerful on the market. Whatever your operational vision, our tool adapts to your business specificities. Thanks to enlightened real-time visibility on all your activities, from marketing to finance, from sales to HR, your managers are able to make rational decisions at the right time.

Mage Data™ is the leading solutions provider of data security and data privacy software for global enterprises. Built upon a patented and award-winning solution, the Mage platform enables organizations to stay on top of privacy regulations while ensuring security and privacy of data. Top Swiss Banks, Fortune 10 organizations, Ivy League Universities, and Industry Leaders in the financial and healthcare businesses protect their sensitive data with the Mage platform for Data Privacy and Security. Deploying state-of-the-art privacy enhancing technologies for securing data, Mage Data™ delivers robust data security while ensuring privacy of individuals. Visit the website to explore the company’s solutions.