How managers are the first-line recruiters at Tableau

Tableau Software | July 25, 2016

Many companies take a top-down approach to hiring, with their human resource departments tasked with finding and signing up new employees. Tableau Software, however, takes a decentralized approach, putting much of the work of recruiting on managers. That’s a tack that the company’s top executives have used since Tableau was founded in 2003.

Spotlight

Over two-third of enterprises, across industry verticals, who are currently planning or implementing Big Data analytics projects stated that their projects have not progressed past the pilot stage. One of the primary reasons identi¬ed for this lack of success appears to be the lack of a holistic Big Data Assurance Strategy to address issues related to data quality and rein in the cost of quality and delivery on projects. Big Data has been a key focus area for enterprises in the information technology landscape for many years now. Industry analysts across the globe agree that Big Data is a multi-billion dollar industry. 


Other News
BIG DATA MANAGEMENT,BUSINESS STRATEGY

Striim and Databricks Partner to Bring Real-Time Data Integration to the Databricks Lakehouse

Striim | September 21, 2022

Striim, a global leader in unified real-time data integration and streaming, today announced at the Big Data LDN conference and expo that Striim has joined the Databricks Technology Partner Program. Databricks Technology Partners integrate their solutions with Databricks to provide complementary capabilities for ETL, data ingestion, business intelligence, machine learning, and governance. Striim’s integration with Databricks enables enterprises to leverage the Databricks Lakehouse Platform’s reliability and scalability to innovate faster while deriving valuable data insights in real-time via Striim’s real-time streaming capabilities. “It’s clear that the businesses that can make accurate, data-driven decisions more quickly have a clear advantage over their competitors. “We intentionally partner with technology providers like Striim to enable our customers to speed their time-to-insight via Databricks AI/ML solutions. We are excited to partner with Striim, providing our customers access to a fully-managed cloud service to seamlessly connect data from databases, applications, and disparate clouds to Databricks in real-time.” Ariel Amster, director of strategic technology partners at Databricks The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses, enabling users to unify their data, analytics, and AI, build on open-source technology, and maintain a consistent platform across clouds. Striim enables Databricks’s AI/ML to create new models that leverage real-time data resulting in far more accurate business predictions. This, in turn, means better decisions more quickly, giving businesses and significant competitive edge. “In today's digital economy, customer experience, data movement, and data governance require real-time streaming data. Legacy batch processes simply are not enough to meet the demands of today’s AI/ML applications,” said Philip Cockrell, Striim’s senior vice president of Business Development. “Striim’s software-as-a-service offering delivers ‘best-in-class’ capabilities for real-time data integration, helping Databricks customers more fully realize the proven AI/ML functionality Databricks delivers.” Striim Cloud delivers these capabilities for the enterprise in a managed service format that eliminates the complexity of building low-latency streaming data pipelines at scale. Instead of spending weeks implementing this new infrastructure, global enterprises can now integrate data from disparate sources in just a few clicks. About Striim Striim, Inc. is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors, and delivers it to virtually any target on-premises or in the cloud with sub-second latency enabling real-time operations and analytics.

Read More

BIG DATA MANAGEMENT

Sesame Software Announces New Data Connector for HubSpot, Empowering Users to Simplify Data Access and Accelerate Insights

Sesame Software | August 12, 2022

Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced the addition of a new data source connector for HubSpot. With Relational Junction for HubSpot, you can easily connect HubSpot with cloud applications and relational databases to the data warehouse of your choice. This connector empowers data teams to improve data quality, eliminate silos, and uncover new insights to support data-driven decision-making. HubSpot is a leading platform for inbound marketing, sales, and customer relationship management. With HubSpot, you can get exhaustive data on your marketing efforts and Relational Junction helps you take control of that data. Relational Junction is a no-code data integration and replication platform able to easily connect HubSpot and a wide variety of other data sources to your various data destinations. Thanks to its scalable architecture and automation, you can easily grow your data without the need for labor-intensive processes, including manual data entry, data mapping, and maintenance. As a result, you have the data you need, continuously updated and all in one place, allowing for you to provide better customer experiences with more targeted and informed campaigns. Connect Your HubSpot Data with Your Data Warehouse and Business Intelligence Tool Relational Junction supports delivery to a wide range of cloud data storage and on-prem data warehouses, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, and more. In a matter of minutes, you can connect your Hubspot marketing and sales data with other data sources. Send your Hubspot data to feed your BI, your data warehouse, or your custom analytics stack and see a full view of your leads, analytics, sales, and customer service information. Relational Junctions Key Benefits: Easily access, discover, and connect HubSpot data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications Replicate HubSpot data into your data warehouse quickly and with no coding necessary Move data at the fastest possible speed with hyper-threaded high-volume data connectors Keep data fresh with automated data syncs for timely insights and accurate reporting About Sesame Software Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

InfluxData Brings Native Data Collection to InfluxDB

InfluxData | August 24, 2022

InfluxData, creator of the leading time series platform InfluxDB, today announced new serverless capabilities to expedite time series data collection, processing, and storage in InfluxDB Cloud. InfluxDB Native Collectors enable developers building with InfluxDB Cloud to subscribe to, process, transform, and store real-time data from messaging and other public and private brokers and queues with a click of a button. Currently available for MQTT, Native Collectors introduce the fastest way to get data from third-party brokers into InfluxDB Cloud without the need for additional software or new code. Time series data comes from many different sources and widely distributed assets and applications. To make sense of all this data, developers need to consolidate time series data in a central location. However, the pipelines from data sources to the database are complex and require resource-intensive customizations, creating additional challenges for developers. Other systems require an intermediary layer to transfer and transform data from external systems to the cloud. InfluxDB Native Collectors expedites this process by removing that intermediary layer, allowing cloud data sources to connect directly to InfluxDB Cloud so developers can collect, transform, and store time series data in cloud environments directly and without writing new code. “Data is born in the cloud at an exponential rate, but existing data pipeline tools that integrate multi-vendor cloud services are expensive, complex, and a burden for developers to manage. “With Native Collectors, we’re expediting device to cloud data transfers so developers can focus on building and scaling applications with their time series data. These updates enable InfluxDB Cloud to become a serverless consumer of data through easily configured topic subscriptions, greatly simplifying time series data pipelines and applications alike.” Rick Spencer, Vice President of Products, InfluxData According to Gartner®, “Organizations want to make decisions faster and with more confidence. Data and analytics (D&A) leaders are under pressure to support these decisions with high-quality data governed across a range of users, use cases, architectures and deployment options. Data management teams are often too busy responding to requests (execution focused) to ensure data availability. This leaves them little time to focus on enablement and innovation. Many D&A leaders expect cloud migration/modernization to solve the above challenges and bring additional cost and time savings.” Expedite Time Series Cloud Ingestion with InfluxDB Native Collectors InfluxData’s Native Collectors gives teams a faster way to ingest time series data in the cloud in one step and without customization, orchestration, or additional hosting services. After setting up service-to-service integrations between third-party brokers and InfluxDB Cloud with a few simple steps, users can: Ingest data with simple low code setup: Ingest data into InfluxDB Cloud with a click of a button and without writing any code for immediate processing. Contextualize data across distributed architectures: Plug Native Collectors into device-to-cloud data streams to enhance application operations, performance, and security. Reduce complexity through platform consolidation: Consume data directly into InfluxDB Cloud through standard subscriptions with no additional agents or coding. Removes the need to run InfluxDB-specific processing in third-party platforms or code. Deliver real-time data ingestion: Faster data onboarding and ingestion with unprecedented simplicity, speed, and scale, directly from the InfluxDB Cloud user interface. Out-of-the-box data filtering and processing: Enrich, format, and process data before it’s ingested into InfluxDB Cloud for analysis. Reduce storage costs through automatic data filtering. “We are seeing new and fast-growing workloads within our cloud-native MQTT service, but most developers have difficulty in efficiently offloading this data into a time series database,” said Ian Skerrett, Vice President of Marketing, HiveMQ. “InfluxData’s Native Collectors eliminate this challenge, move the database integration workloads back to the database, and turn InfluxDB Cloud into a simple MQTT client – a model that IoT and application developers understand and use regularly.” Native MQTT is available immediately for InfluxDB Cloud users. Additional Native Collectors for Apache Kafka and AMQP are planned for late 2022, with new collectors to be rolled out in the future. About InfluxData InfluxData is the creator of InfluxDB, the leading time series platform. We empower developers and organizations, such as Cisco, IBM, Siemens and Tesla, to build real-time IoT, analytics and cloud applications with time-stamped data. Our technology is purpose-built to handle the massive volumes of data produced by sensors, systems or applications that change over time. Easy to start and scale, InfluxDB gives developers time to focus on the features and functionalities that give their apps a competitive edge. InfluxData is headquartered in San Francisco, with a workforce distributed worldwide.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Variphy Releases Software Version 13.0

Variphy | September 20, 2022

Variphy, the preferred Cisco Unified Collaboration reporting and analytics software solution for over 1,500 businesses, announced today the release of Variphy 13.0, its latest software version. "Our latest release delivers features allowing for an even faster and more streamlined reporting experience with greatly improved scalability," Derek Falter, director of product development, said. "With the addition of Multi-Database Reporting, Auto-Archiving, and Audible Alerts, we make it easier to monitor and report on CUCM, UCCX, and CUBE activities." Variphy 13.0 core feature enhancements include: CDR Auto Database Archiving & Multi-Database Support Variphy overhauled CUCM and CUBE configuration UIs to isolate CDR-specific settings and activation. Auto Database Archiving allows the archive databases to be automatically created for an even more seamless reporting process. Scheduled Call Analytics Report Queueing The update includes a new application setting to determine the maximum number of reports executed simultaneously. CCX CSQ Widget Threshold Audible Alerts An audible alert will be triggered when a configured threshold is breached. The flexible audio configuration is designed to fit any purpose. Report on Individual CUBE Events Variphy 13.0 features the ability to build CUBE CDR reports, widgets, and searches based on individual events. Pill select input was included to allow clients to focus their CDR output on individual events or sequences. Active Directory Authentication Improvements The Active Directory Server form has been updated to include fields to capture an Active Directory Distinguished Name User and Password. CUBE CDR Monitoring CUBE CDR Monitoring alerts users if Variphy does not receive a minimum number of CDRs from CUBE in the previous hour. The update includes other application settings and improvements for seamless monitoring and reporting. Email alerts, CUBE CDR processing, and widget settings are among the enhancements available. Variphy 13.0 is just the latest version in the company's tradition of consistently delivering software updates and new products. Updates are always free for existing users. About Variphy Variphy creates leading-edge UC tools and analytics software solutions to streamline the service delivery and management of Cisco Unified Communications and Collaboration. Since 2004, it has helped over 1,500 organizations visualize, search, analyze, and report on their Cisco UC environments. Product development, sales and marketing, service delivery, and support teams are based in the United States.

Read More

Spotlight

Over two-third of enterprises, across industry verticals, who are currently planning or implementing Big Data analytics projects stated that their projects have not progressed past the pilot stage. One of the primary reasons identi¬ed for this lack of success appears to be the lack of a holistic Big Data Assurance Strategy to address issues related to data quality and rein in the cost of quality and delivery on projects. Big Data has been a key focus area for enterprises in the information technology landscape for many years now. Industry analysts across the globe agree that Big Data is a multi-billion dollar industry. 

Resources