Ashoke K Sarker

Databricks Users: Start the new year with a bang—explore these free articles designed to help you supercharge your data operations: 🧱 "Databricks Cost Management": Learn strategies to control costs, maximize resource efficiency, and eliminate waste. 🧱 "Databricks Code Optimization": Discover methods to fine-tune code performance, enhance scalability, and reduce processing times. 🧱 "Configuration Management in Modern Data Platforms": Streamline settings, enhance reliability, and maintain consistency across your data ecosystem. Level up your skills and optimize your Databricks environment today! Find the links to these valuable resources in the comments below. #UnravelData #DataEfficiency #CloudOptimization #Databricks

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Choosing the right ETL tool depends on various factors, including the organization's size, data complexity, and specific integration needs.

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Need a snowflake in your data workflow? Hiring the right Snowflake Data Engineer can supercharge your business, but it's not as simple as it sounds. These highly skilled professionals are key to designing and implementing complex data models. Their intricate knowledge of cloud data warehouse technology, Python coding, and stakeholder collaboration easily makes them an invaluable part of a team. But are you confident in your company's ability to attract, assess, and retain such talent? Often, businesses overlook the specific skills set required for these roles and the multitude of ways this may impact recruiting. As a result, they struggle with vacancies or mismatched hires. That's where we come in. At Periscope Search Group, we specialize in understanding the nuances of your hiring needs and mapping the industry for the perfect talent. Is your company confident in its recruiting stance? Or are there still lingering questions? Let our recruitment experts resolve your uncertainties. Turn skillset complexity into a competitive edge. Reach out to a professional at Periscope Search Group today and let's engineer your success together.

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What metrics do you prioritize when considering which analytics conferences to attend? The landscape is ever-evolving, and with so many events, making the right choice matters. This article highlights some of the best analytics conferences that can help sharpen your skills and broaden your network. They cover various topics, from data science innovations to practical analytics applications, offering firsthand insights from industry leaders. Attending these conferences is more than just learning; it’s a chance to connect with like-minded professionals and explore new tools that can transform your approach to analytics. I'm curious to know what factors influence your decision-making for these kinds of events. Is it the speaker lineup, the workshop content, or perhaps networking opportunities that sway you? Let’s hear your thoughts! https://lnkd.in/g2fY2ZUv The RevOps Team

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At #DES2024, Manish Gupta, Partner - Data Engineering at Tiger Analytics, led a compelling session on the transformative impact of Generative AI. He emphasized that, like any advanced analytics capability, Gen AI requires robust integration with data platforms to ensure high-quality data, scalable processing, and secure delivery. Manish shared strategic insights on evolving traditional data foundation architectures to support and enable Generative AI capabilities within enterprises. His session provided valuable guidance on how to adapt existing data infrastructures to leverage the full potential of Gen AI, helping businesses stay ahead in the rapidly evolving technological landscape. #DES #DES2024 #ThinkAIThinkAIM

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Good Overview!!! I highly recommend Vidhi Chugh's datacamp course—it's definitely worth checking out!

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Ready for Day 3 of Databricks Data + AI Summit? Don't miss Nilay Bhagat's lightning session today, Taking Good Flight with Reliable Data at American Airlines, happening at 3:40pm on the Data Governance track. 🔥 He'll share American Airlines' strategy to modernize data quality and data observability, how reliable data fosters trust by minimizing disruptions, and the role data observability plays in their efforts to scale data reliability across the business. Learn more here: https://lnkd.in/eP2uUM8C #dataAIsummit #dataobservability #dataquality

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From real-world evidence to clinical trial records, in the life sciences industry there's no shortage of data. The challenge is determining how to find data, access it, and put it to work – at the speed that the industry requires. Lisa Arbogast, Industry Principal for Life Sciences at Snowflake, sat down with us to explain the hurdles, considerations, and solutions for managing secure data access and sharing in the highly regulated world of life sciences. Watch the full interview here: https://lnkd.in/de6x_iHb #LifeSciences #DataSecurity #DataGovernance #DataSharing

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Unlock Data Democratization with Sigma on Databricks! 🚀 Break free from data silos and outdated tools with our new eBook, "Data + AI Democratization Without Data Sprawl". Whether you’re a data engineer or a business user, discover how to make data accessible and actionable across your organization. 🔑 Inside: strategies to overcome data challenges, simplify architectures, and harness AI for a competitive edge. Transform your organization into a data-driven powerhouse. Download our free eBook and elevate your data journey! #DataDemocratization #Sigma #Databricks #ModernDataStack https://lnkd.in/gqJM8h6d

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With vast amounts of records to manage, the United States Department of Defense has strategic requirements to streamline processes through automation—and it’s mission-critical. 📄🤖 Read our newest report detailing how Snowflake's AI Data Cloud enables document management with the following: >> Effortless categorization & classification >> Metadata extraction at scale >> Enhanced data-driven decision-making >> Top-tier security & governance https://lnkd.in/eKzKAJna

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This is a pretty good overview of data modeling techniques that focuses on implementations in Snowflake.

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What happens when there is a business use case where you have to work on creating models and the data required is sitting at different places like in onpremise systems (Hadoop , DB2 or EDW) and some of the data is in cloud (Azure, AWS or GCP ) The data required to create models is present in chunks at different places. How will you work on these data since the data is not present in single source ? One solution to this is : You have to bring the data into one place so that you can work on the data. How to bring the chunks of data from different sources to a single place since all of the data are present in different place ? So what we can do is migrate the required data from the onpremise systems to cloud and then perform data manipulations on the whole chunk of data using platforms like databricks or snowflake. But there comes a fallout to this solution or approach. Since we are migrating the data it comes with a cost to the business. There will be ingress and egress cost attached to data that is getting moved from one place to other. Also if the data size is huge it will add to huge cost to business. There will also be data duplicacy since the data will be present at both the places. So can we look for any other approach to this ? Is there any specific approach from where we can reduce data duplicacy? or even moving the data from onpremise to cloud can we work on this use case ? Yes here comes denodo in the picture. Denodo is a data virtualization tool where we can create connectivity between various data sources and perform our manipulations in the denodo itself. There is no need to move your data and no data duplicacy will be happening. Denodo serves as a platform where you can do manipulations in the data, create models and join data present in different sources ( be it cloud or be it onpremise ). There is no requirement to move the chunk of data to denodo. You just have to create a connectivity and you are good to go. #data #usecase #analytics #Denodo #costoptimization #datavirtualization

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Join me on October 26 at 4 PM CST for my masterclass. Click here to REGISTER now: https://lnkd.in/gS7mpPnK  #DataScience #Analytics #AI #MachineLearning #CareerDevelopment #Masterclass #BusinessImpact #Success #Learning #ProfessionalDevelopment

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7 Top #Data #Analytics Trends In 2024 🤖 🔥 Credit: Exploding Topics 📊 📈 📉 #Data #Ai #Artificialintelligence #GenAi #ML #Machinelearning #Bi #BusinessIntelligence

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Maximize your business efficiency with AnalyticsCreator’s mixed modeling approach. Simplify ETL processes and enhance decision-making. #BusinessAgility #ETLSimplification #AnalyticsCreator Mixed Modeling Approach https://hubs.ly/Q02B36vP0

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