Teradata’s Post

𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗿𝗶𝗱𝗴𝗲 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 In today's data-driven world, data engineers are the unsung heroes who make extracting value from vast amounts of information possible. Discover what a data engineer does and their core responsibilities in our latest blog! 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: https://bit.ly/4c6rQn1 . . . . #dataengineering #data #cloud #k21academy

Data engineering is the foundation of modern data-driven enterprises, ensuring that data is collected, processed, and made accessible for analysis. It involves designing, building, and maintaining the infrastructure and systems that allow organizations to harness large volumes of data efficiently. Key tasks include creating data pipelines to automate the flow of data from various sources into storage solutions such as data warehouses and lakes. Data engineers employ tools like SQL, Python, Apache Hadoop, and Spark to manage and transform data into a usable format. They also ensure data quality, scalability, and security, implementing best practices for data governance. Effective data engineering enables businesses to gain valuable insights, drive strategic decisions, and improve operational efficiency. As companies increasingly rely on big data and analytics, the role of data engineering has become crucial, bridging the gap between raw data and actionable intelligence.

Supercharge Your Data Pipelines with the Ultimate Optimization Guide! Exciting News for Data Professionals! An incredible resource has surfaced: "Comprehensive Guide to Optimize Databricks, Spark, and Delta Lake Workloads"! This guide is a game-changer, packed with advanced strategies and best practices for anyone working with Databricks, Spark, and Delta Lake. Whether you're a data engineer, analyst, scientist, or architect, you'll find invaluable tips and tricks to elevate your data operations to the next level. What You’ll Learn: 🔧 Fine-tune Databricks Configurations Maximize your Databricks setup for unparalleled performance. ⚡ Optimize Spark Jobs Boost efficiency and speed in your Spark applications. 💾 Harness Delta Lake Unlock reliable and scalable data storage with Delta Lake's full potential. Don’t miss out on this opportunity to enhance your data processing pipelines. Dive into this fantastic guide and transform the way you handle data! Check it out and supercharge your data game today! https://lnkd.in/dFqQPtHh #Data #ETL #BigData #SparkOptimization #Databricks #DeltaLake #Azure #Cloud #AWS #Databricks

We’re excited to announce Data Jobs Monitoring (DJM), a new product that helps you monitor and reduce the costs of your Apache Spark and Databricks jobs in your data pipelines. With DJM, you can now easily Detect failing and long-running jobs - Use out-of-the-box alerts and recommended filters to surface jobs with failures and duration spikes to take action on before stakeholders notice. Pinpoint and resolve job issues quickly - Drill into detailed job execution traces that correlate your Spark metrics, Spark configuration, infrastructure metrics, stack traces, and logs to help you localize and remediate issues faster Optimize jobs and clusters to reduce costs - Surface the most expensive jobs with high amounts of idle compute to prioritize optimization. Use Spark execution metrics to increase the efficiency at the application level and cluster cpu and memory metrics to right-size your compute. DJM currently has support for Databricks (AWS, Azure, Google), Amazon EMR, and Spark on Kubernetes. Check out our blog to learn more, or follow our documentation to get started. https://lnkd.in/eKvU2C7k

Hello, hello 🤠... May I have your attention, please? 📢 Coz 👉🏻 THIS can't be missed! I am talking about Azure Databricks 📊... (Did all of this just rhyme?! 🤭) Anyways, today we're covering a really interesting topic💫 i.e. Azure Databricks.   It is an easy, fast, and collaborative Apache spark-based data analytics 📈 platform for the Microsoft Azure cloud services platform. It accelerates innovation by bringing data science 👨💻 data engineering 📝 and business together... Making the process of data analytics more productive more secure 🔐 more scalable and optimized for Azure. ✅ Understand it like this: Databricks + Apache Spark + Enterprise cloud = Azure Databricks It is a fully managed version of the open-source Apache Spark data analytics ✨ ➕ it features optimized connectors to storage platforms for the quickest possible data access. WHOAA! Loads of 🤯 stuff?! 📖 Check out this blog post: https://lnkd.in/de7Bgdrh (We've broken down each term in easy understandable manner😇) 🧐Psst.... If the learning geek 🤓 inside of you wishes to get more of these topics, get on this ➡ amazing ride inside absolutely FREE class: https://bit.ly/46v9Q2x See ya! 👋 #Azure #DataEngineer #DP203 #MicrosoftAzure #AzureSynapseAnalytics #Synapsespark #AzureSQL #DataLake #DataWarehouse #BigData

Data Analytics: "Uncover the Stories Hidden in Your Data! 📈 Sasvat Infotech's Data Analytics services go beyond mere numbers. Whether it's Azure Machine Learning or AWS Redshift, we utilize sophisticated algorithms to unveil patterns, trends, and valuable insights. Our data scientists collaborate with your team to harness the power of analytics, enabling you to make data-driven decisions with confidence. Trust Sasvat Infotech for a transformative data analytics journey. #DataAnalytics #azureml #aws #SasvatInfotech"

🚀 Hello LinkedIn Community! Excited to join this space of innovation and knowledge-sharing. 👋 As a Data Engineer, I'm passionate about weaving insights from the vast world of data. 🔍💡 🌐 Currently immersed in the AWS cloud, crafting ETL marvels, and fine-tuning data pipelines for seamless performance. 💻✨ Let's dive into the realm of data-driven possibilities! 🤝 Eager to connect with fellow data enthusiasts, share experiences, and learn from your incredible journeys. Drop your insights or feel free to connect! 🌟📊 #BigData #DataEngineering #AWS #PySpark #DataLake #DataWarehousing #ETLProcessing #NoSQL #BigDataAnalytics

Excited to share insights on Microsoft Azure's role in empowering data engineers! This week, dive into my latest blog post on Medium and Substack where I explore Azure's robust toolkit for data infrastructure: https://lnkd.in/gfkjRBXq https://lnkd.in/ggQjzJx8 In this series, I'm uncovering Azure's evolution and its pivotal role in shaping the future of data management. From storage solutions to powerful computing resources, Azure offers scalable, secure, and flexible services tailored to data engineering needs. Stay tuned for more on essential infrastructure tools in the next installment. Your enthusiasm fuels my exploration into valuable insights and knowledge sharing. Keep learning, keep growing! #DataEngineering #MicrosoftAzure #TechInsights #azure

As we advance into a more AI and ML lead world. It’s clear that databrick’s versatility ensure it’s a go to platform intelligence deployment tool. Certainly, among my own clients I’ve been discussing some interesting projects working across a variety of cloud partners and there’s been one solid consistency. DATABRICKS! 😍 If you are looking for a role across, Data Engineering or Data architecture and have experience with GCP and Azure with experience in cross functional data initiatives I’d love to have a chat. #databricks #datamesh #GCP #azure #dataarchitecture #dataengineer

#Unleash Powerful Data Analysis with #Apache #Spark in Microsoft Fabric Are you looking to analyze massive datasets at scale while leveraging the flexibility of a cloud platform? Look no further than Apache Spark in #Microsoft #Fabric! This powerful combination unlocks a world of possibilities for data engineers, data scientists, and business analysts alike. #ApacheSpark #MicrosoftFabric #DataAnalysis #BigData #CloudComputing #DataScience #MachineLearning Follow for more: Bamidele Ajamu