Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Furthermore, Apache Ranger now supports Public Cloud objects stores like Amazon S3 and Azure Data Lake Store (ADLS). These Ranger plugins cache the access privileges and tags at client side. Upgrade to CDP.

Hadoop 75

Hadoop SQL Database Kafka 75

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Hands-on experience with cloud-based platforms such AWS, Azure. Good knowledge of commonly used machine learning and deep learning algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

Cloudera

SEPTEMBER 11, 2020

In this blog post, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. In addition, our cloud deployments for cloud-native stores can also support encryption key escrow with cloud vendor-provided infrastructure, such as AWS KMS or Azure Key Vault. Data-at-rest encryption.

Database 65

Database Big Data Ecosystem Transportation SQL 65

Monte Carlo

JUNE 22, 2023

The underlying infrastructure plane of course involves your shared cloud infrastructure components, your AWS/GCP/Azure/Snowflake, but also your data ingestion and API management components. 4 fundamental use cases that enable data product self-service Data product self-service is tricky enough that the topic could be its own blog.

Building 52

Building Data Ingestion Data Business Analyst 52

Cloudera

APRIL 30, 2021

CDE is already available in CDP Public Cloud (AWS & Azure) and will soon be available in CDP Private Cloud Experiences. To deploy this example, follow these steps – Get the base image name & tag from the Cloudera docker repository. CDE runs Apache Spark on K8S using Apache YuniKorn scheduler. docker login [link]. -u

Python 61

Python Data Engineering Data Engineer Management 61

LinkedIn Engineering

JULY 27, 2023

Costwiz provides a unified experience that helps leaders drive more accurate forecasting of Azure budgets at LinkedIn with resource ownership detection, accountability, expedited remedies, and holistic data visibility (via custom dashboards).

Metadata 75

Metadata Utilities Cloud Data Lake 75

Knowledge Hut

JULY 6, 2023

IT Professionals looking to work in the cloud domain are expected to have a sound understanding of Azure tools as well as development and monitoring tools. This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know. Why are Azure Tools Important?

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Cloudera

SEPTEMBER 28, 2021

We covered the value this new capability provides in a previous blog. In this blog post we’ll compare implementing policies using the group-based mechanism (IDBroker) to how it is done in a RAZ-enabled environment. . Please take a look at this use case blog to see how these cases are available for CDP Public Cloud deployments.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data. Upload it to Azure Data lake storage manually.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Snowflake

MARCH 30, 2023

In this blog post we will use what we have learned in this Data Vault blog series to support the data preparation requirements for ML on Snowflake, using Data Vault patterns for modeling and automation. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 85

Engineering Raw Data Data Science Scala 85

Knowledge Hut

DECEMBER 27, 2023

It includes everything from AI that drafts blogs to chatbots that learn from conversations. TensorFlow, PyTorch, scikit-learn, Google Cloud AI Platform, Amazon SageMaker, and Microsoft Azure Machine Learning are a few well-known AI tools that have shown to be successful in a variety of use cases.

Media 52

Media Machine Learning Utilities Retail 52

phData: Data Engineering

JANUARY 3, 2022

The biggest gain with using Git over Subversion is that your developer’s branching and tagging can be separate from the central repository. First off, you have to define a branching and tagging strategy which takes time to do well. You can tag default (latest) containers along with specific versions of your application.

IT 52

IT AWS Software Engineer Software Engineering 52

AltexSoft

NOVEMBER 7, 2022

So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on. There are also nearly 10,4k questions with the airflow tag on Stack Overflow. Web App Development.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

OCTOBER 20, 2021

So right before we start, I would like to let you know that the focus of this blog is to get you started for interviews and give you exposure to what is the latest in the field of Artificial Intelligence. Azure Machine Learning is a no-code, drag and drop interface to perform machine learning at Scale along with model management.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. To stay updated on these trends, it’s essential to follow industry blogs, attend relevant webinars and conferences, participate in online communities and forums, and continuously explore and experiment with new technologies and tools.

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Recommended Reading: 15 Tableau Projects for Beginners to Practice with Source Code 10+ Real-Time Azure Project Ideas for Beginners to Practice 14.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JULY 30, 2021

Data Description To train a machine learning algorithm in this project, you can use the tweets dataset of an airline containing details of tweets in which certain airlines have been tagged. You will also get an introduction to Google Vision API, Amazon Rekognition and Azure Computer Vision.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40