ProjectPro

FEBRUARY 8, 2023

Jupyter Notebook – Those comfortable and familiar with creating ETL jobs using jupyter notebook can choose this option to create a new Python or Scala ETL job script using this notebook. You can also have the option of scripting the Python or Scala code in a script editor window or uploading an existing script locally.

AWS 98

AWS Scala Metadata Data Lake 98

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

Language Compatibility: Databricks provides extensive language compatibility, catering to data professionals with diverse skill sets. Some of the prominent languages supported include: Scala: Ideal for developers who want to leverage the full power of Apache Spark.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

AltexSoft

OCTOBER 30, 2021

A data scientist takes part in almost all stages of a machine learning project by making important decisions and configuring the model. Data preparation and cleaning. Final analytics are only as good and accurate as the data they use. An overview of data engineer skills. Let’s go through the main areas.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. This real-world data engineering project has three steps.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 83

Engineering Raw Data Data Science Scala 83

Cloudera

OCTOBER 17, 2017

CDSW provides data scientists with a browser-based development environment for Python, R, and Scala. CDSW makes it possible for data scientists to use conventional hardware for tasks like data preparation and discovery, and train a deep learning model on a GPU-accelerated machine. Spark Packages. CaffeOnSpark.

Deep Learning 46

Deep Learning Scala Medical Data Science 46

ProjectPro

JANUARY 31, 2023

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 27, 2016

Pig Hadoop dominates the big data infrastructure at Yahoo as 60% of the processing happens through Apache Pig Scripts. Apache Spark is for- Users who want to access and process all their data from the existing Hadoop environment at a faster pace.

Hadoop 40

Hadoop Big Data Technology Kafka 40

ProjectPro

JANUARY 31, 2022

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. The service asynchronously identifies and feeds data into Snowflake from Amazon Simple Storage Service using Amazon SQS and other AWS technologies (Amazon S3).

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

DECEMBER 10, 2021

Mapping data flow- This is a visually oriented data transformation task that allows users to create graphical data transformation logic without the need for any expert/professional. Wrangling data flow- This is a Power Query Online-integrated data preparation process that doesn't require any coding.

BI 52

BI Cloud Computing SQL Database 52

AltexSoft

MARCH 30, 2023

Authorized users can share notebooks, libraries, queries, ML experiments, data visualizations , and other objects across the organization in a secure manner, enhancing collaboration. Moreover, the platform supports four languages — SQL, R, Python , and Scala — and allows you to switch between them and use them all in the same script.

Scala 64

Scala Data Lake BI Google Cloud 64

Snowflake

MAY 30, 2023

In order to best support them all, Marshall wanted to apply the Moneyball approach to his team’s data science projects: experiment a lot, fail often, fail fast, and move on to the next one, even if that meant a 50% or 75% failure rate. Every time you had a change, it was like starting from scratch with the pipeline again.”

Data Science 56

Data Science Scala BI Metadata 56