Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

NOVEMBER 17, 2023

Data engineers should have a solid understanding of SQL for querying and managing data in relational databases. ETL Processes : Knowledge of ETL (Extract, Transform, Load) processes and familiarity with ETL tools like Xplenty, Stitch, and Alooma is essential for efficiently moving and processing data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. Knowledge of requirements and knowledge of machine learning libraries.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

AUGUST 29, 2023

Also, data lakes support ELT (Extract, Load, Transform) processes, in which transformation can happen after the data is loaded in a centralized store. A data lakehouse may be an option if you want the best of both worlds. For example, it might be set to run nightly or weekly, transferring large chunks of data at a time.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Towards Data Science

APRIL 6, 2023

And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). So, join me on this post to develop a full data pipeline from scratch using some pieces from the AWS toolset.

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc. big data and ETL tools, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2021

What is a Big Data Pipeline? Data pipelines have evolved to manage big data, just like many other elements of data architecture. Big data pipelines are data pipelines designed to support one or more of the three characteristics of big data (volume, variety, and velocity).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Ascend.io

DECEMBER 21, 2022

The data is finance-related but isn’t siloed within that department. How to Fit Reverse ETL Into Your Data Architecture Once businesses comprehend the advantages of reverse ETL, the question often is whether you should buy a reverse ETL solution or use your data team to build one for your company.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. It will also assist you in building more effective data pipelines.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. An overview of data engineer skills. ETL and BI skills.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

ProjectPro

JANUARY 19, 2022

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Different methods are used to store different types of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 27, 2021

Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

FEBRUARY 19, 2024

When data mesh doesn’t work: Lack of domain talent density Business domains have overlapping product needs Your data org is too small You have a fragmented data platform Every reliable data architecture needs reliable data What’s a data mesh again? How do we get the data we need faster?

Architecture 59

Architecture Government Data Data Architecture 59

Cloudera

NOVEMBER 27, 2023

2: The majority of Flink shops are in earlier phases of maturity We talked to numerous developer teams who had migrated workloads from legacy ETL tools, Kafka streams, Spark streaming, or other tools for the efficiency and speed of Flink. For now, Flink plus Iceberg is the compute plus storage solution for streaming data.

Kafka 82

Kafka SQL ETL Tools Data Lake 82

AltexSoft

MARCH 30, 2023

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools.

Scala 64

Scala Data Lake BI Google Cloud 64