Kafka for Data Ingestion Simplified 101 May 10th, 2023 By Raj Verma in Data Ingestion, Data Strategy Organizations today are overflowing with data. The amount of data produced every day is truly staggering. A study by Forbes[1] a few years ago confirmed the Data Explosion. It was…
4 Reasons Why You Should Automate Data Ingestion March 28th, 2023 By Sharon Rithika in Data Ingestion, Data Strategy As businesses continue to generate and collect large amounts of data, the need for automated data ingestion becomes increasingly critical. The process of ingesting and processing vast amounts of information…
Best Real time Data Ingestion Tools January 10th, 2023 By Sanchit Agarwal in Data Ingestion, Data Strategy Modern-day businesses use multiple SaaS applications and Databases to store the data. Extracting and integrating all of this data can assist you in visualizing your complete business performance. Traditionally, the…
Data Ingestion Best Practices Simplified 101 January 9th, 2023 By Sharon Rithika in Data Ingestion, Data Strategy In order to improve operations and customer service, organizations and businesses must gather and process data. By analyzing this information, they can gain insight into the needs of their stakeholders,…
Top 6 Data Ingestion Challenges January 4th, 2023 By Sharon Rithika in Data Ingestion, Data Strategy In order to make informed business decisions, it is necessary to have access to a sufficient amount of data. This data can then be analyzed to gain valuable insights and…
Data Ingestion Architecture 101: A Comprehensive Guide January 4th, 2023 By Manisha Jena in Data Ingestion, Data Strategy A well-designed data ingestion architecture is crucial for ensuring that data can be efficiently and effectively ingested, processed, and stored in a way that meets the needs of the organization.…
Splunk Data Ingestion Methods: Made Easy 101 May 20th, 2022 By Manisha Jena in Data Ingestion, Data Strategy Splunk is a software platform widely used for monitoring, searching, analyzing, and visualizing machine-generated data in real-time. It performs capturing, indexing, and correlating the real-time data in a searchable container…
Data Ingestion Framework using Spark: Workflows Simplified 101 May 17th, 2022 By Sanchit Agarwal in Data Ingestion, Data Strategy Businesses collect, extract & store data in several data formats such as CSV(Comma Separated Values), Parquet, JSON, Avro, etc. Reading, manipulating & loading this data into your desired destination requires…
Best 13 Data Ingestion Open Source Tools in 2024 May 12th, 2022 By Sanchit Agarwal in Data Ingestion, Data Strategy Extracting data from multiple sources in real time is still a challenging task for several firms. Data Ingestion Open Source Tools simplifies this process by automatically ingesting data from several…
AWS IoT Data Ingestion Simplified 101: The Complete Guide May 11th, 2022 By Osheen Jain in Data Ingestion, Data Strategy Extracting Internet of Things (IoT) data (sensors and log data) for analysis requires a heavy investment in custom development. If you want to use machine and sensor data for real-time…
Top Data Ingestion Tools in 2024 May 10th, 2022 By Ishwarya M in Data Ingestion, Data Strategy In the modern era, companies highly rely on data to predict trends, forecast the market, plan for future needs, understand consumers, and make business decisions. However, to accomplish such tasks,…
Apache NiFi Data Ingestion: A Comprehensive Guide 101 May 10th, 2022 By Osheen Jain in Data Ingestion, Data Strategy Businesses design data ingestion pipelines to collect and store their data from various sources. Apache NiFi, short for Niagara Files, is an enterprise-grade data flow management tool that helps collect,…
Data Ingestion Types: A Comprehensive Guide May 9th, 2022 By Ishwarya M in Data Ingestion, Data Strategy In the modern era, businesses are undergoing a significant transformation in which business operations are becoming increasingly data-intensive. Companies gather data from various sources, including applications, SaaS solutions, social channels,…
Metadata Driven Data Ingestion: Simplified 101 April 28th, 2022 By Harshitha Balasankula in Data Ingestion, Data Strategy Companies use data to predict trends, forecast the market, plan for future needs, and gain a better understanding of their customers. Data Ingestion allows you to consolidate data from multiple…
Data Ingestion Google Cloud Simplified 101 April 11th, 2022 By Manisha Jena in Data Ingestion, Data Strategy Creating Cloud-based Data Ingestion pipelines that replicate data from multiple sources into your cloud data warehouse can be a huge project that demands a lot of manpower. Such a massive…
What is Data Ingestion? 10 Critical Aspects April 7th, 2022 By Amit Phaujdar in Data Ingestion, Data Strategy Organizations depend heavily on data for predicting trends, planning for future requirements, making business decisions, understanding consumers, and predicting the market. However, to execute these tasks, it is necessary to…