Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

phData: Data Engineering

NOVEMBER 8, 2024

This is particularly beneficial in complex analytical queries, where processing smaller, targeted segments of data results in quicker and more efficient query execution. Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Examples of technologies able to aggregate data in data lake format include Amazon S3 or Azure Data Lake.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

Monte Carlo

APRIL 24, 2023

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

FEBRUARY 15, 2023

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types. Key Features of Databricks 1.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52