ETL Streaming Solutions – Tegeria

ETL Streaming Solutions

ETL stands for Extract, Transform, and Load and it refers to the process of preparing
raw and/or unstructured data into a format that can be easily quantified, or blending
data from multiple sources into one single location.

Implementing ETL and streaming solutions into your processes will greatly enhance the business intelligence of your enterprise because
information from a variety of different sources can be combined in a meaningful way. It also increases levels of quality, consistency, and efficiency which in turn, result in a high ROI and an improvement in the way that your business functions.

Talend ETL

Talend Open Studio is an essential tool for those businesses that need help transforming swathes of uncategorised and unquantifiable big data into homogeneous data that can be digested and used to the clients advantage. Regarded as one of the most powerful ELT tools on the market, it offers easily manageable processes and results that are developed on the Eclipse graphical environment. It is also easy to use when compared with some other ETL options and by leveraging Talend Open Studio, data integration projects can be undertaken quicker, more efficiently, and at a significantly lower cost than when compared to using custom code.

Apache Kafka

Apache Kafka is an open-source stream-processing platform, developed by Apache that provides users with a high throughput, low-latency, and totally unified way to handle real-time data fees. With the capability to process trillions of events a day, it is based on the abstraction of a distributed transaction log. It is suitable for both offline and online message consumption, has inbuilt features within the cluster that are designed to prevent data loss, and is useful for metrics, loss aggregation solutions, and stream processing.

Apache Spark

Apache Spark is an open-source, data analytics, and cluster computing framework, as well as one of the biggest open-source communities in Big Data. It offers interaction with a range of other solutions such as other Apache projects, and having its framework built on top of the Hadoop Distributed File System. It also provides users with real-time stream processing, enabling immediate analysis and manipulation, as and when the raw data is collected. It is designed for use with applications that work with log processing in live streams, electronic trading data, and fraud detection, amongst others.

Apache ZooKeeper

A centralised open-source server for managing and maintaining configuration information, Apache Zookeeper is also able to name conventions and execute synchronisation within the distributed cluster environment. Offering low-latency and high availability, it also helps distributed systems to reduce their management complexity, whilst offering reliability, security, efficiency. It is suitable for use in situations where data is shared between client nodes and needs to be accessed in a way that supports real-time, across the board synchronisation.

Apache Storm

Insightly CRM has over 1.5 million users and is the CRM of choice for users of Google Apps and Microsoft Office 365. Predominantly designed with small to midsize businesses in mind, it suits a number of industries including consulting, manufacturing, professional services, technology, and the media. Its benefits include powerful organisational tools, efficient project management, and the ability to oversee the entire sales pipeline from the creation of the opportunity, to the probability of winning, and the full purchase history of each entity. It also integrates seamlessly with Twitter, Linkedin, Facebook, Google Drive, Gmail, and a whole range other other applications.