Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Use Cases : Yahoo!

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Pickl AI

JUNE 5, 2025

Big Data Technologies: Familiarity with Hadoop, Apache Spark, and cloud platforms like AWS, Azure, and Google Cloud is increasingly important as Indian companies scale data operations. Big Data: Apache Hadoop, Apache Spark. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Data Science Connect

JANUARY 27, 2023

Familiarize yourself with essential data technologies: Data engineers often work with large, complex data sets, and it’s important to be familiar with technologies like Hadoop, Spark, and Hive that can help you process and analyze this data.

Data Engineering 130

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How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

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Data Science Analytics Analytics Apache Hadoop 345

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications. What about Kafka?

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phData

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Dataconomy

MAY 27, 2025

Cloud storage services: Employed by major providers, such as Amazon S3, Microsoft Azure, and Google Cloud, to implement effective data protection strategies. Data archiving: Particularly efficient for static datasets, reducing costs associated with traditional replication methods, like those used in Hadoop.

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Pickl AI

APRIL 21, 2025

Big Data technologies include Hadoop, Spark, and NoSQL databases. Big Data Technologies Enable Data Science at Scale Tools like Hadoop and Spark were developed specifically to handle the challenges of Big Data. Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets.

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Data Science Dojo

MAY 24, 2024

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Big Data Technologies With the growth of data-driven technologies, AI engineers must be proficient in big data platforms like Hadoop, Spark, and NoSQL databases.

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

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Analytics Vidhya

NOVEMBER 7, 2022

Hello, fellow data science enthusiasts, did you miss imparting your knowledge in the previous blogathon due to a time crunch? Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts.

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Data Science Analytics Analytics Hadoop 306

Precisely

MARCH 9, 2023

Hadoop, Snowflake, Databricks and other products have rapidly gained adoption. We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Pickl AI

DECEMBER 25, 2024

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. They must also stay updated on tools such as TensorFlow, Hadoop, and cloud-based platforms like AWS or Azure. Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

phData

MARCH 7, 2023

#gg.eventhandler.hdfs.finalizeAction=delete #TODO: Edit snowflake storage integration to access Azure Blob Storage. share/hadoop/common/*:hadoop-3.2.1/share/hadoop/common/lib/*:hadoop-3.2.1/share/hadoop/hdfs/*:hadoop-3.2.1/share/hadoop/hdfs/lib/*:hadoop-3.2.1/etc/hadoop/:hadoop-3.2.1/share/hadoop/tools/lib/* gg.classpath=./snowflake-jdbc-3.13.7.jar:hadoop-3.2.1/share/hadoop/common/*:hadoop-3.2.1/share/hadoop/common/lib/*:hadoop-3.2.1/share/hadoop/hdfs/*:hadoop-3.2.1/share/ha

Hadoop 59

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Smart Data Collective

APRIL 24, 2023

Google’s Hadoop allowed for unlimited data storage on inexpensive servers, which we now call the Cloud. Searching for a topic on a search engine can provide us with a vast amount of information in seconds. Deighton studies how this evolution came to be. Innovations in the early 20th century changed how data could be used.

Big Data 119

Big Data Big Data Hadoop Azure 119

ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics.

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ODSC - Open Data Science

JUNE 7, 2023

Microsoft’s Azure Data Lake The Azure Data Lake is considered to be a top-tier service in the data storage market. Amazon Web Services Similar to Azure, Amazon Simple Storage Service is an object storage service offering scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

O'Reilly Media

MAY 15, 2025

5:34 : You work with the folks at Azure, so presumably you know what actual enterprises are doing with generative AI. We have DeepSeek R1 available on Azure. 29:29 : Back then, we only had a few options: Hadoop, Spark. 30:03 : Back then people didnt need Hadoop or MapReduce or Spark if they didnt have lots of data.

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Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

DataRobot Blog

OCTOBER 3, 2017

Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure. Alation and Paxata announced their product integration.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

Smart Data Collective

NOVEMBER 8, 2020

Spark outperforms old parallel systems such as Hadoop, as it is written using Scala and helps interface with other programming languages and other tools such as Dask. Popular cloud platforms include the Microsoft Azure, Google Cloud Platform, and Amazon Web Services. Data processing is often done in batches.

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MARCH 19, 2025

Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. Microsoft Azure Synapse Analytics : A cloud-based analytics service for Big Data and Machine Learning. Hadoop : An open-source framework for processing Big Data across multiple servers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Smart Data Collective

AUGUST 29, 2019

With courses that cover areas from Microsoft’s Azure platform to Hadoop, EDX has a course for almost every big data specialty. They work with some of the industry’s biggest players, like Microsoft, to help produce detailed and engaging courses that can be taken from anywhere.

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Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently.

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Pickl AI

NOVEMBER 5, 2024

Its popularity stems from its user-friendly interface and seamless integration with widely used Microsoft applications like Excel and Azure, making it highly accessible for organisations already using Microsoft products. Tableau supports integrations with third-party tools, including Salesforce, Hadoop, and Google Analytics.

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Power BI Tableau Business Intelligence Business Intelligence 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JUNE 7, 2024

Key Features Out-of-the-Box Connectors: Includes connectors for databases like Hadoop, CRM systems, XML, JSON, and more. Hadoop Hadoop is an open-source framework designed for processing and storing big data across clusters of computer servers. Read Further: Azure Data Engineer Jobs. How to drop a database in SQL server?

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ETL Data Quality Data Pipeline Data Warehouse 40

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

JANUARY 28, 2023

Spark: Spark is a popular platform used for big data processing in the Hadoop ecosystem. Using a cloud provider such as Google Cloud Platform, Amazon AWS, Azure Cloud, or IBM SoftLayer 2. Deploying a machine learning library in the cloud can be difficult.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Mlearning.ai

MARCH 15, 2023

Experience with cloud platforms like; AWS, AZURE, etc. Knowledge of big data platforms like; Hadoop and Apache Spark. Experience with machine learning frameworks for supervised and unsupervised learning. Experience with visualization tools like; Tableau and Power BI.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

DagsHub

DECEMBER 11, 2023

LakeFS Most big data storage solutions such as Azure, Google cloud storage, and Amazon S3 have good performance, cost-effective, and have good connectivity with other tooling. Such a server is not provided by every Git hosting service and in some cases will require either setting it up or switching to a different Git provider.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Pickl AI

NOVEMBER 28, 2024

Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale. Big Data Tools Integration Big data tools like Apache Spark and Hadoop are vital for managing and processing massive datasets.

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