Future of big data What are the leading technology trends

Big data has emerged in response to the exponential growth in data. This in itself is the result of a combination of technology trends. These include (but are not limited to) the ubiquity of mobile devices, widespread use of social media, and the rise of the Internet of Things (IoT). Specific use cases of edge computing. Where more data processing is done at the edge of the network, nearer to the data source. It includes the maintenance of data processing and analytics close to points of collection. The growth of edge computing is therefore closely associated with the IoT. The proliferation of enterprise IoT initiatives and consumer IoT offerings (such as automated home devices) will drive demand for edge computing solutions. The deployment of 5G cellular technologies will be a major stimulus for both IoT and edge computing. The race to reach quantum supremacy – the point at which a quantum computer can carry out calculations faster than a classical computer ever could – is well underway. Google, IBM, and Microsoft are leading the pack. IBM unveiled the first quantum computer designed for commercial use, the Q System One, in March 2019. AI, and particularly machine learning, will benefit. Quantum computers will complete extremely complex calculations, involving large data sets in a fraction of the time. For effort-intensive AI chores such as classification, regression, and clustering, quantum computing opens a new realm of performance and scale. Central processing units (CPUs) have powered data centres for decades, but new workloads stemming from technology such as AI and the IoT are pushing CPU architectures to their limits. Graphics processing units (GPUs) that were once primarily used for gaming can process many threads in parallel, making them ideal for training and modelling of large predictive data models. As the criteria for data centres moves from calculation speed to search speed, GPUs are moving into data centres. However, while GPUs are ideally suited to training neural networks, field programmable gate arrays (FPGAs) show signs of being better at execution.

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Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

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