Big Data & Analytics


Adobe Analytics

Adobe Analytics is an application that enables deeper reporting, visualizations, and analysis of customer data. As part of the larger Adobe suite of products, Adobe Analytics ties in web data, AI, machine learning, and predictive intelligence to help teams analyze and make sense of their data sets to create smarter digital experiences.

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Amplitude is a product analytics platform that helps businesses track visitors via its web and mobile options. Behavioral user data informs informs business decision-making around user engagement, retention, and revenue strategies.

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Azure Data Catalog

Azure Data Catalog is an enterprise-wide metadata catalog that makes self-service data discoveries straightforward. Use this fully-managed platform to register, consume, understand, and enrich your data. It will allow analysts and other data users to find what they are looking for quickly and easily.

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Azure Synapse

Azure Synapse is a unified data analytics platform that brings together data integration, data warehousing, and big data analytics. It allows enterprises to query data on their terms at a larger scale. Azure Synapse delivers options to ingest, explore, prepare, manage, and serve BI and machine learning needs right away.

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Databricks is a big data processing platform that was founded by the creators of Apache Spark. Meant to accelerate development and innovation, Databricks provides an incredibly fast, just-in-time, cloud-based platform for big data processing. The solution is primarily used for data science projects involving AI and Machine Learning in the enterprise.

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eBay Analytics

eBay Analytics is also known as Listing Analytics. It provides users with unique ways to see trending products that are being sold on eBay. Traffic reports deliver insights on how buyers engage with listings, where listings appear in search results, how many people have seen it in search results, how many of those have clicked through, and more. eBay Analytics lets users track and measure success amongst popular items to see what is in high demand.

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Google Analytics

Google Analytics is a web analytics service by Google. Track website traffic, clicks, and much more using this tool for SEO and marketing purposes. Gather inside feedback from customer behavior that is collected in real time. Effectively measure your web performance when achieving your business goals.

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Google Data Catalog

Google Data Catalog is a metadata management service tied to Google's Cloud Data Analytics family of products. Google Data Catalog's fully managed and scalable service maintains an optimized search index of data assets so users can find dataset, tables, views, and Pub/Sub topics in their Google Cloud projects.

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Grafana is an open source analytics and monitoring solution for databases. It enables teams to run data analytics and visualize metrics, logs, and traces from their applications. Grafana also allows teams to query, report on, and explore metrics on a deeper level. This observability platform can ingest data from a large number of data sources for analyzation.

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HPCC Systems

HPCC Systems is an open source big data analytics platform that has been heavily used in commercial applications for more than 20 years. HPCC stands for High Performance Computing Cluster. HPCC's massive parallel-processing computing platform enables supercomputing actions for resolving big data challenges in the enterprise.

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Klipfolio is a cloud-based BI and analytics platform for visualizing, analyzing, and sharing business data on dashboards. Its automated dashboards help teams make data-driven decisions and the insights are shareable via web and mobile devices.

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MarkLogic is an enterprise NoSQL database. This data platform was purpose-built to ingest data from any source and combine it with active metadata using a multi-model database and semantic AI technology. MarkLogic provides features for data storage management, database conversion, backup and recovery, data migration, data replication, data retrieval, full text search, and more.

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Mode is a cloud-based collaborative analytics platform for analyzing, visualizing, and sharing data. The platform combines SQL, Python/R Notebooks, interactive visualizations, and shareable reports to leverage business intelligence (BI) from multiple sources and processes.

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Mouseflow is a behavior analytics platform for optimizing website experiences. Digital marketers and product and UX professionals can use Mouseflow features to record all website visits, instantly build page maps, analyze funnels and forms, and launch feedback campaigns.

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Apache Parquet is an open source, column-oriented data file format that provides data compression and encoding schemes for handling bulk loads of complex data in the Hadoop ecosystem. Designed for efficient data storage and retrieval, Parquet can store and analyze large volumes of data with flexible compression options and fast query performance.

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Presto is also known as PrestoDB and is an open source, distributed SQL query engine for big data. PrestoDB runs interactive analytic queries for large-scale analytics workloads across multiple sources such as Hadoop, MySQL, AWS S3, Cassandra, and Hive. This query engine is widely adopted for data lake analytics.

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Redis is a durable, open source advanced key value store, used as a database, cache and message broker. This app is often referred to as a data structure server because keys can contain strings, lists, maps, sets, sorted sets, bitmaps, streams, and spatial indices.

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Retently is a feedback analytics and customer experience management solution meant to help customer experience product teams take feedback-based actions for improving UX. The application automatically collects feedback via surveys whose results can inform actionable plans.

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SAP BusinessObjects BI

SAP BusinessObjects BI is a software solution that specializes in reporting and analytical business intelligence (BI). It's used as primary access to publish, store, create, and share data, conduct analytics, and create reports with one application. It is the core of the reporting and analytics suite from SAP.

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SAS Data Sets

A SAS data set is a group of data values created and processed by SAS. It exists as a file stored in the library created through SAS processes. The datasets can be organized into a table of observations (rows) and variables (columns) that can be further evaluated by other SAS applications.

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SAS xpt

SAS xpt (XPORT) is a file format used for filing data from reporting tools, databases, and custom applications through standard-based drivers. Supporting databases like ODBC, JDBC, and ADO.NET make it easy to connect and manage SAS xpt data from other database management applications.

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Apache Spark is an open-source, distributed processing system for big data workloads quickly. This engine allows for data engineering, data science, and machine learning on a single machine or across clustered computers. It can be used in a wide range of circumstances.

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Splunk is a software system for searching, analyzing, and visualizing machine-generated data. It pulls the data from websites, applications, devices, sensors, and other business platforms to make it easy to generate reports, alerts, and visualizations. With Splunk, users can collaborate with teams and analyze machine data in real-time.

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TigerGraph is a graph database that automatically uses data to speed up manually programming information. TigerGraph's graph AI platform is built on the first and only distributed native graph database in the industry. The solution enables seamless integration with tooling and enterprise connectors and focuses on storage and computation for data scientists and developers looking to deploy analytical solutions.

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YouTube Analytics

Use YouTube Analytics to better understand video performance via metrics. YouTube users can view the number of visitors and views each piece of their content receives. These metrics help businesses and individuals draw on crucial video insights around audience demographics, age, gender, geo-location, and other factors.

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9 Must-Have Integrations for the Manufacturing Industry

As global manufacturing searches for stabilization, a digital revolution is underway. Manufacturers already rely on multiple software applications to meet competitive standards, but to solidify their future, they must integrate. Here are the must-have integrations they’re prioritizing:

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