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Enterprise streaming analytics firm Streambased aims to help organisations extract impactful business insights from these continuous flows of operational event data. In an interview at the recent AI & BigData Expo , Streambased founder and CEO Tom Scott outlined the company’s approach to enabling advanced analytics on streaming data.
Cloudera got its start in the BigData era and is now moving quickly into the era of Big AI with large language models (LLMs). Today, Cloudera announced its strategy and tools for helping enterprises integrate the power of LLMs and generative AI into the company’s Cloudera DataPlatform (CDP). …
In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and dataplatform. Check out AI & BigData Expo taking place in Amsterdam, California, and London.
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To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) bigdataplatform, focusing on multi-objective scheduling optimization for clean energy.
Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Operating under an open-source dataplatform called Hadoop, Apache Hive is a software application released in 2010 (October). What is Apache Hive? Introduced to […].
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And AI, both supervised and unsupervised machine learning, is often the best or sometimes only way to unlock these new bigdata insights at scale. How does an open data lakehouse architecture support AI?
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At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using bigdata to recruit players had the potential to change the core business.
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He helps customers and partners build bigdataplatform and generative AI applications. When not collaborating with customers, he enjoys playing with his kids and cooking. Fortune Hui is a Solutions Architect at AWS Hong Kong, working with conglomerate customers. In his free time, he plays badminton and enjoys whisky.
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Data professionals are in high demand all over the globe due to the rise in bigdata. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.
In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer dataplatform that simplifies the deployment and scaling of MongoDB databases in the cloud.
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Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native dataplatforms. Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, bigdata analytics, batch and real-time data streaming and data integration.
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It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of bigdata and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.
But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other bigdata solutions currently available.
With a single shake of their staff they can command the power of data into magical intelligence never seen before, intelligence that will finally provide the answer to the unanswerable. With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used. This will impact the data realm.
Secure databases in the physical data center, bigdataplatforms and the cloud. Don’t throw your private data away with your machines. In addition to setting up corporate security policies, ensure your employees understand what they are and how to follow them. Dispose of old computers and records securely.
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As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle BigData and perform effective data analysis and statistical modelling.
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