7th International Conference on Big Data Analysis and Data Mining

July 17-18, 2020 | Austria

Big data analytics probe and analyse huge amounts of data to i.e., big data - to uncover hidden patterns, unknown co-relations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Operate and carry by specialized analytics systems and software, big data analytics can lay the way to various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiency, competitive advantages and better customer service.

Spotlight

In business publications and IT trade journals, the buzz about “big data” challenges is nearly deafening. Rapidly growing volumes of data – from transactional systems like enterprise resource planning (ERP) software and non-transactional sources such as web logs, customer call center records, and video images – are everywhere. A tsunami of data, some experts call it. Most companies know how to collect, store, and analyze their operational data. But these new multi-structured data types are often too variable and dynamic to be costeffectively captured in a traditional data schema using only a standard query language (SQL) for analytics.


OTHER PAST CONFERENCES

Predictive Analytics World for Business

June 19-24, 2022 | USA

Predictive Analytics World for Business is the premier machine learning conference since 2009. As part of Machine Learning Week, PAW Business will be held alongside PAW Financial, PAW Healthcare, PAW Industry 4.0, PAW Climate and Deep Learning World.

Data Privacy

September 14, 2022 | USA

Data Privacy has become an increasingly pressing concern for individuals in the USA and globally these past few years, as digital technologies have proliferated throughout our lives while numerous, sometimes wide-scale, cases of data breaches and misuses have continued to make the headlines. The huge socio-economic benefits of these technologies are however manyfold, and it is therefore essential that regulation does not impede the endless opportunities they can deliver. Trust, transparency, and accountability are central to the discussions being held around data privacy in the US and will be the core themes of Forum Global’s 4th Annual Data Privacy Conference USA.

Big Data LDN 2022

September 21-22, 2022 | UK

The Striim platform is an end-to-end streaming data integration and operational intelligence solution enabling continuous query/processing and streaming analytics. With Striim, you can get to know your data and sort out whats important the instant its born. Striim specializes in integration from a wide variety of data sources transaction/change data, events, log files, application and IoT sensor data and real-time correlation across multiple streams. Add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.

Snowflake Summit 2022

June 13-16, 2022 | USA

As a Snow Row Sponsor, the DQLabs team would love you to stop by our booth #1213C to know how to modernize the Data Quality space and deliver the data that matters to organizations, leaders, and teams across the globe. We believe that Data Relevance is the cornerstone of Modern Data Quality.

Spotlight

In business publications and IT trade journals, the buzz about “big data” challenges is nearly deafening. Rapidly growing volumes of data – from transactional systems like enterprise resource planning (ERP) software and non-transactional sources such as web logs, customer call center records, and video images – are everywhere. A tsunami of data, some experts call it. Most companies know how to collect, store, and analyze their operational data. But these new multi-structured data types are often too variable and dynamic to be costeffectively captured in a traditional data schema using only a standard query language (SQL) for analytics.

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