Data Engineering Podcast

JUNE 12, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Cloudera

MARCH 31, 2021

Over the coming months, we will add additional services and cluster definitions – which are already available on our AWS and Azure versions – that will allow customers to: . Access new platform capabilities – such as the SQL Stream Builder. Google Cloud Storage buckets – in the same subregion as your subnets .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Cloudera

DECEMBER 21, 2021

Early in the year we expanded our Public Cloud offering to Azure providing customers the flexibility to deploy on both AWS and Azure alleviating vendor lock-in. A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage. CDP Airflow Operators.

Data Engineering 118

Data Engineering Data Engineer Engineering Data Pipeline 118

Towards Data Science

APRIL 26, 2023

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. Ducks go serverless Y’all know DuckDB at this point.

Engineering 96

Engineering Data Lake AWS BI 96

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Google Cloud Amazon Web Services Cloud Storage 52

ThoughtSpot

MAY 31, 2023

Search and model assist hints are stored in the tenant specific cloud storage bucket. In our case, we use GPT to transform the user query to a SQL statement. The SQL is not used directly. This is used to influence the future results of users in the tenant context where the feedback is saved.

Data Security 98

Data Security Metadata Data Warehouse Transportation 98

Rockset

MARCH 21, 2019

We pushed the boundaries of the SQL type system to natively support dynamic typing , so that the need for ETL is eliminated in a large number of situations. This makes turning any type of data—from JSON, XML, Parquet, and CSV to even Excel files—into SQL tables a trivial pursuit.

SQL 52

SQL Data Management Management Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Examples of PaaS services in Cloud computing are IBM Cloud, AWS, Red Hat OpenShift, and Oracle Cloud Platform (OCP). SaaS Software as a Service is a cloud hosting model where users subscribe to gain access to services instead of purchasing software or equipment. and more 2.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms. Query Result Cache.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Cloudera

MAY 18, 2021

To provide a comprehensive view of the savings opportunity across all (applicable to CDP) permutations of the parameters mentioned above for both AWS and Azure deployments (e.g., Single-cloud visibility with Cloudera Manager. Single-cloud visibility with Ambari. Policy-Driven Cloud Storage Permissions. 5,500-9,000.

Hadoop 86

Hadoop Cloud AWS Utilities 86

Cloudera

SEPTEMBER 1, 2020

YARN allows you to use various data processing engines for batch, interactive, and real-time stream processing of data stored in HDFS or cloud storage like S3 and ADLS. The following page is displayed: From the Cluster Definitions dropdown, select ‘Data Discovery and Exploration for AWS – PREVIEW’. Restore collection.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

Knowledge Hut

OCTOBER 29, 2023

Platform as a Service (PaaS): PaaS is a cloud computing model where customers receive hardware and software tools from a third-party supplier over the Internet. Examples: Google App Engine, AWS (Amazon Web Services), Elastic Beanstalk , etc. Examples: Microsoft Azure , Amazon Web Services (AWS), etc.

Cloud Computing 98

Cloud Computing Coding Cloud Project 98

Cloudera

JANUARY 21, 2021

Separate storage. Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Get your data in place.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. SQL stands for Structured Query Language.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Towards Data Science

NOVEMBER 4, 2023

Cloud platform leaders made DWH (Snowflake, BigQuery, Redshift, Firebolt) infrastructure management really simple and in many scenarios they will outperform and dedicated in-house infrastructure management team in terms of cost-effectiveness and speed. Data warehouse exmaple. It will be a great tool for those with minimal Python knowledge.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Hadoop SQL Policies overview. Cloud Credentials with limited / no permissions to data lake storage.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Christophe Blefari

DECEMBER 31, 2023

To finish the year Airflow team have released improvements to Datasets and a major step forward with the new Object Storage API that provides a generic abstraction over Cloud Storage to transfer data from one to another. BigQuery now integrates DuetAI — to help you generate or complete SQL queries.

Data 100

Data Python Cloud Storage Datasets 100

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

DECEMBER 26, 2023

It helps to understand concepts like abstractions, algorithms, data structures, security, and web development and familiarizes learners with many languages like C, Python, SQL, CSS, JavaScript, and HTML. You will retain use of the following Google Cloud application deployment environments: App Engine, Kubernetes Engine, and Compute Engine.

Certification 95

Certification Java Google Cloud Education 95

Monte Carlo

APRIL 24, 2023

Databricks Data Catalog and AWS Lake Formation are examples in this vein. Snowflake simplifies data ingestion, querying, and transformation through its built-in support for SQL and compatibility with numerous data processing and integration tools. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Built on new SQL database engine, it provides a unique architecture designed for the cloud. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Confluent

MAY 29, 2019

Building event streaming applications using KSQL is done with a series of SQL statements, as seen in this example. But I also wanted to introduce the pipeline concept: a group of SQL statements that work together to define an end-to-end process. Mapping streams and tables to a SQL script hierarchy. KSQL primer. Table created.

Kafka 96

Kafka Management Bytes SQL 96

Knowledge Hut

DECEMBER 4, 2023

You host your own platform, similar to YouTube, using a provider like AWS, Azure, or GCP and their streaming service. Infrastructure as a Service (IaaS) – Cloud vendor provides infrastructure and resources, and applications are managed by the user. Below are the services provided by these cloud providers.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

DareData

JANUARY 30, 2023

Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Examples of relational databases include MySQL or Microsoft SQL Server.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

SEPTEMBER 21, 2023

Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. Questions such as which is better and easier to learn—AWS, Azure, or GCP— are often asked by organization leaders before starting out on their cloud journey.

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

Edureka

JULY 5, 2024

Amazon Machine Image (AMI) is an image in the public or private cloud storage that stores information relating to virtual machines known as instances in Amazon’s Elastic Compute Cloud (EC2). This is abbreviated as AWS Amazon Machine Image for the AMI. This is abbreviated as AWS Amazon Machine Image for the AMI.

AWS 52

AWS Amazon Web Services Cloud Cloud Storage 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake Machine Learning BI 64

Rockset

MARCH 1, 2023

In addition, Rockset provides fast data access through the use of more performant hot storage, while cloud storage is used for durability. Rockset’s ability to exploit the cloud makes complete isolation of compute resources possible. The option for continuous refresh is currently available in early access.

Architecture 59

Architecture AWS SQL Cloud Storage 59

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Given that a data warehouse stores data from multiple sources, SQL queries are written to consolidate data from the multiple sources.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Looker also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Confluent

JULY 10, 2019

KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output. Decode decode = new Decode() @Unroll.

Kafka 89

Kafka Java Bytes SQL 89

ProjectPro

AUGUST 24, 2021

The primary step in this data project is to gather streaming data from Airline API using NiFi and batch data using AWS redshift using Sqoop. You will then compare the performances to discuss hive optimization techniques and visualize the data using AWS Quicksight. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

SEPTEMBER 20, 2019

Imagine that a developer needs to send records from a topic to an S3 bucket in AWS. Implementation effort to send records from a topic to an AWS S3 bucket. Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. That’s just part of the cost.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JANUARY 24, 2023

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52