Monte Carlo

AUGUST 8, 2023

By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime. From this perspective, the data validation process looks a lot like any other DataOps process.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

ProjectPro

FEBRUARY 21, 2023

By clearing the CCP Data Engineer exam, a developer can receive the Cloudera Certified Data Engineer certificate, which enables them to acquire the essential skills necessary to ingest, store, process, and analyze data in the Cloudera CDH environment. This exam can be taken only in the English language.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 29, 2023

Data sources In a data lake architecture, the data journey starts at the source. Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

OCTOBER 28, 2015

Some of the common challenges with data ingestion in Hadoop are parallel processing, data quality, machine data on a higher scale of several gigabytes per minute, multiple source ingestion, real-time ingestion and scalability. If you are looking to find the answer to the question - "What's the difference between Flume and Sqoop?"

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Edureka

FEBRUARY 9, 2023

The most common data storage methods are relational and non-relational databases. Understanding the database and its structures requires knowledge of SQL. Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 19, 2023

What Are Azure Data Engineer Tools? Azure Data Engineer Tools encompass a set of services and tools within Microsoft Azure designed for data engineers to build, manage, and optimize data pipelines and analytics solutions. Let’s read about them in the next section.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

OCTOBER 8, 2021

The tool supports all sorts of data loading and processing: real-time, batch, streaming (using Spark), etc. ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Edureka

FEBRUARY 7, 2023

2) What is Azure’s primary ETL service? It does away with the requirement to import data from an outside source. Use a few straightforward T-SQL queries to import data from Hadoop, Azure Blob Storage, or Azure Data Lake Store without having to install a third-party ETL tool.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

SEPTEMBER 10, 2021

Integrating data sources is beneficial in lots of ways but it won’t happen magically all by itself. You will most likely need the help of data engineers , ETL developers , or other specialists involved in building data pipelines. Also, you are unlikely to do without a suitable data integration tool or platform.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Reduce ingest latency and complexity: Multiple point solutions were needed to move data from different data sources to downstream systems. Without context, streaming data is useless.”

Kafka 84

Kafka Manufacturing Data Lake SQL 84

Rockset

FEBRUARY 17, 2022

To solve this last mile problem and ensure your data models actually get used by business team members, you need to sync data directly to the tools your business team members use day-to-day, from CRMs like Salesforce to ad networks, email tools and more. To me, this means our product, at the end of the day, is the data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52