Rockset

AUGUST 4, 2021

With Snowflake, organizations get the simplicity of data management with the power of scaled-out data and distributed processing. Although Snowflake is great at querying massive amounts of data, the database still needs to ingest this data. Data ingestion must be performant to handle large amounts of data.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Data Lake 40

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

Monte Carlo

AUGUST 8, 2023

It’s also important to understand the limitations of data validation testing. If you choose the wrong approach, no number of data validation tests will save you from the perception of poor data quality. In Excel you can select the field, select data validation under the data tab, select the decimal option under Allow.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Confluent

OCTOBER 10, 2019

Intelligent manufacturing: Industrial companies integrate machines and robots to optimize their business processes and reduce costs, such as scrapping parts early or predictive maintenance to replace machine parts before they break. MQTT Proxy for data ingestion without an MQTT broker. Example: Target.

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Kafka 87

Kafka Manufacturing Data Lake SQL 87

U-Next

SEPTEMBER 23, 2022

Here are some more instances of how businesses use Big Data: Big data assists oil and gas businesses in identifying potential drilling locations and monitoring pipeline operations; similarly, utilities use it to track power networks. . The ingestion layer is the initial step in bringing in raw data.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40