Knowledge Hut

DECEMBER 28, 2023

An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure. The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture. Knowledge of data integration patterns and techniques using Azure services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 6, 2023

I also find Amazon Athena useful because it allows me to do ad-hoc SQL searches on data stored in Amazon S3 without the need for time-consuming ETL procedures. My ability to get practical insights, thanks to AWS Data Analytics, makes it a crucial tool for businesses wanting to leverage data for profits.

AWS 52

AWS Certification Data Analytics IT 52

Knowledge Hut

NOVEMBER 17, 2023

They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

MAY 12, 2023

Unstructured data , on the other hand, is unpredictable and has no fixed schema, making it more challenging to analyze. Without a fixed schema, the data can vary in structure and organization. Once the unstructured data has been collected, the next step is to store and process this data effectively.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. As a result, alternative data integration technologies (e.g., CRM platforms). public, private, hybrid cloud)?

Government 92

Government Hadoop Data Security Data Warehouse 92

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It can be set up as a security policy on all SQL Databases in an Azure subscription. One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Databand.ai

AUGUST 30, 2023

Challenges of Legacy Data Architectures Some of the main challenges associated with legacy data architectures include: Lack of flexibility: Traditional data architectures are often rigid and inflexible, making it difficult to adapt to changing business needs and incorporate new data sources or technologies.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Different techniques are employed to store various kinds of data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Ascend.io

JANUARY 2, 2024

Destination and Data Sharing The final component of the data pipeline involves its destinations – the points where processed data is made available for analysis and utilization. Actions: Establish connections to your data sources like CRM systems or social media platforms. best suit our processed data?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Government Kafka 124

Knowledge Hut

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 29, 2023

Microsoft Data Engineer Certification is one such certification which is most sought after by professionals. By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Grouparoo

OCTOBER 6, 2021

36 Give Data Products a Frontend with Latent Documentation Document more to help everyone 37 How Data Pipelines Evolve Build ELT at mid-range and move to data lakes when you need scale 38 How to Build Your Data Platform like a Product PM your data with business. What would that look like?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

SEPTEMBER 21, 2023

Domain 1: Design Secure Architectures (30% of Exam) The first domain of the AWS solution architect certification syllabus builds the fundamentals of your cloud knowledge. It focuses to develop safe AWS infrastructures by emphasizing access restrictions, secure application design, and robust data security mechanisms.

AWS 52

AWS Amazon Web Services Transportation Certification 52

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. Different methods are used to store different types of data. It is better to know when to employ a data lake vs. a data warehouse to create data solutions for an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. Instead of having a giant, unwieldy data lake , the data mesh breaks up the data and workflow assets into controllable and composable domains with inherent interdependencies.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Big Query Google’s cloud data warehouse. Data Lake A storage repository where data is stored in its raw format.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

FEBRUARY 9, 2023

To store various types of data, various methods are used. It is preferable to understand when to use a data lake versus a data warehouse to create data solutions for an organisation. Companies collect massive amounts of data, making automation essential for dealing with such massive amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Cloudera

NOVEMBER 18, 2020

The Data-Driven Insights project they undertook, is a cutting edge initiative aimed at radically improving the police force’s data and analytics capability. Data Security & Governance. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Medical 121

Medical Banking Telecommunication Government 121

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

phData: Data Engineering

SEPTEMBER 29, 2023

This invites complications while handling a larger amount of data than necessary (over-use of computing resources). Thus, outdated systems cannot sustain the competition that newer and modern systems provide regarding processing speed, handling, and storing of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Algorithm 52

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

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Organizations need to handle them in a transparent way because data hacking can happen at any point in the data-in-motion journey.

Banking 61

Banking Kafka Cloud Storage Government 61

Knowledge Hut

NOVEMBER 17, 2023

AWS has changed the life of data scientists by making all the data processing, gathering, and retrieving easy. This certification covers the following things- Working on network technologies in AWS Creating secure applications Deploying hybrid systems. EMR file system allows direct access to the Amazon S3 data.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

NOVEMBER 7, 2023

You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more. " Instead of relying on nearby hard drives and personal data centers, it requires storing and accessing data on distant servers.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

Grouparoo

DECEMBER 7, 2021

However, this leveraging of information will not be effective unless the organization can preserve the integrity of the underlying data over its lifetime. Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2022

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc. What Does Snowflake Do?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

NOVEMBER 15, 2021

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. It offers a fault-tolerant storage engine that prioritizes data security.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

JUNE 26, 2023

They analyze data, make informed decisions, & identify improvements that can enhance Azure's overall performance. They approach challenges from different angles & use their technical knowledge & expertise to design solutions that meet user needs, improve data security, & enhance the platform's overall performance.

Cloud Computing 52

Cloud Computing Certification Pipeline-centric Database-centric 52

ProjectPro

JANUARY 24, 2023

Retail companies have huge amounts of data about customers, inventory, and sales that are stored across various sources databases, excel sheets, data lakes, etc. Google's Dremel is an interactive ad-hoc query solution for analyzing read-only hierarchical data. Q: Is BigQuery SQL or NoSQL?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52