AI-POWERED DATA OPERATIONS FOR MODERN DATA APPLICATIONS

January 15, 2019

Today, more than 10,000 enterprise businesses worldwide use a complex stack composed of a combination of distributed systems like Spark, Kafka, Hadoop, NoSQL databases, and SQL access technologies. At Unravel, we have worked with many of these businesses across all major industries. These customers are deploying modern data applications in their data centers, in private cloud deployments, in public cloud deployments, and in hybrid combinations of these. Big data programs often stem from the needs and activities of BI teams and activities in the enterprise. For big data BI, massively parallel processing (MPP) SQL systems like Impala, Presto, LLAP, Drill, BigQuery, RedShift, or Azure SQL DW are added to the stack; sometimes alongside incumbent MPP SQL systems like Teradata and Vertica. Compared to traditional MPP systems, newer solutions have been created to deal with data stored in different distributed storage systems like HDFS, Amazon S3, and Microsoft Azure Blob Storage (ABS). These systems power the interactive SQL queries common to business intelligence workloads.

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Hidden Brains InfoTech Pvt. Ltd

Hidden Brains Infotech is a leading Enterprise Software & IT consulting company. We take pride to serve numerous clients across various industries, all over the world for over a decade with superior quality technologies and ideas. We are a step ahead when it comes to innovative Enterprise Application development solutions using emerging technologies.

OTHER WHITEPAPERS
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Better together: AVEVA™ Predictive Analytics and the AVEVA™ PI System™ maximize mining plant ROI

whitePaper | December 23, 2022

From volatile markets and tough competition to the increasingly stringent demands of government regulators and customers alike, there’s no shortage of challenges ahead for the mining industry. To navigate these obstacles and others all while improving profitability, mining companies are seeking innovative ways to optimize the reliability, efficiency, and safety of their operations. Many industry leaders are already finding the answers they are looking for in their operations data.

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SAP Datashpere

whitePaper | March 29, 2023

On the 8th of March 2023 SAP announced the evolution of SAP Data Warehouse Cloud (DWC) into SAP Datasphere during its ‘Data Unleashed’-digital event. Although this whitepaper has been updated to reflect all the changes and new developments, some of the images may still carry SAP Datasphere’s old name (Data Warehouse Cloud), in cases where no similar visualizations with the new namesake were available. If you have read this whitepaper before, you might just be interested in the topics that SAP highlighted in the days preceding and during the March event. In the section below you will find the most important takeaways in a nutshell, but we encourage you to read on if you want to know more!

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2022 Data Industry White Paper

whitePaper | December 27, 2022

The 2022 data industry white paper consists of five parts. Part 1 discusses data sharing between individuals, across countries and within companies, under this year's theme of 'Data Sharing.' Part 2 summarizes the major policies, legislation, and systems related to the data industry in Korea and abroad. Part 3 deals with the current status of Korean and global data industry markets. In Part 4, the status of each industry based on business data is examined. Part 5 reviews technologies related to data sharing and utilization. Overall, this white paper uses infographics to summarize the flow of related policies, legislations, and institutions that have been promoted over five years, and highlights the main data issues experienced in Korea this year based on data analysis.

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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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Our Approach to Data Analytics

whitePaper | November 4, 2022

Truveta offers the most complete, timely, and highest-quality data on US health, enabling actionable insights by researchers in life sciences and healthcare.

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Spotlight

Hidden Brains InfoTech Pvt. Ltd

Hidden Brains Infotech is a leading Enterprise Software & IT consulting company. We take pride to serve numerous clients across various industries, all over the world for over a decade with superior quality technologies and ideas. We are a step ahead when it comes to innovative Enterprise Application development solutions using emerging technologies.

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