As internet usage continues to grow, so does the generation of raw data. Businesses need to process this raw data into useable structured data, so they can extract insight to guide their enterprise strategy. Without a unified, integrated IT infrastructure, data processing will become more complicated due to growing service quality demands and an increased number of data sources.
Talend is an industry-leading cloud data integration platform, which provides modernized extract, transform, and load (ETL) processing for data warehouses. The platform has more than 900+ connectors so you can integrate popular cloud platforms and Software-as-a-Service (SaaS) applications into a unified data management dashboard. In their magic quadrant for data integration 2019, IT research and advisory company Gartner described Talend as a visionary leader.
You may be interested in using Talend but lack the internal expertise to implement the platform. That’s why Trianz has partnered with Talend to provide data integration consulting services for its platform. Now, what should you expect from a Talend consultant?
The Talend platform comes with a vast range of integrations and features for data warehousing, but not all of them will apply to your business model. Even so, here are some services you should expect from your Talend consultant:
Before you start using Talend, you must first ensure that your IT infrastructure is platform-ready. Your Talend consultant should help you perform a comprehensive assessment of your existing IT infrastructure, building a roadmap for change that you will undergo during the integration of the platform.
Infrastructure Ready – You need to make sure that your hosting servers, and virtual desktop infrastructures or desktop/laptop (FAT) clients meet Talend’s system requirements.
Application and Database Server System Requirements - As a minimum, your application server will need 8GB RAM, 10GB of disk space, and a quad-core 2GHz processor. The database server will require a minimum of 20GB disk space, with the same processing requirements as the application server. These requirements are for in-house servers, so ask your consultant if you would like to use Talend in the cloud as these system requirements will be higher.
Talend has a range of solutions to meet your data needs on their platform. Your consultant can help you determine which features are needed to accomplish your data objectives.
These features include:
Talend Big Data Management and Data Quality – These modules include a range of design and productivity tools, and integrations with Apache Spark, Databricks, Qubole, AWS, Azure, Snowflake, and NoSQL. It is designed to manage big data environments and includes automated data quality processing to increase insight validity.
Integrate Your Applications with Talend ESB – You can integrate internal and third-party vendor software packages with Talend Enterprise Service Bus (ESB). ESB allows you to holistically integrate applications and data management, which is perfect for heterogeneous IT environments.
Talend Master Data Management (MDM) – Talend MDM offers a unified view of your data sources in real time so that you can maintain business agility through insightful 360-degree views of your data records.
Your consultant should offer a plan of action for updating the Talend platform, so you have access to the latest features and security patches on offer.
For business continuity, ask your consultant to assess the business-critical aspects of your Talend implementation, so you have a plan for quick remediation in the face of system outages.
You can benefit from platform education services that enable your workforce to maximize the value of Talend during everyday use. This could come in the form of end-user documentation, or on-premise group tuition.
Trianz is a leading data integration consulting firm, with decades of experience helping our clients to minimize risk and maximize value extraction with their data processing. We have partnered with Talend to deliver expert consulting services, so you can leapfrog the competition and take advantage of the cloud-native functionality on their platform.
Get in touch with our data integration consulting team and start building a tailor-made data warehousing infrastructure with Trianz today.
Contact Us Today
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
A Winning Base for Successful Digital Transformations When it comes to developing a successful digital strategy, it is not just corporations planning to maximize the benefits of data assets and technology-focused initiatives. The Government of Western Australia recently unveiled four key priorities for digital reform in its new Digital Strategy for 2021-2025.Explore
Engage Your Workforce with a Modern Employee Intranet Solution The employee intranet has changed significantly since it was first introduced in the early 1990s. What started as HTML-based static portals have now evolved into intuitive communication tools complete with search engines, user profiles, blogs, event planners, and more. Today, many organizations are taking a second look at employee intranets to bridge gaps between teams, build company culture, centralize information, increase productivity, and improve workflow.Explore
Adopting emerging cloud technologies, consolidating resources, and improving processes is the key. “IT no longer just supports corporate operations as it traditionally has but is fully participating in business value delivery. Not only does this shift IT from a back-office role to the front of business, but it also changes the source of funding from an overhead expense that is maintained, monitored, and sometimes cut, to the thing that drives revenue,” said John-David Lovelock, research vice president at Gartner.Explore
Deliver Powerful Insights Instantaneously with Federated Queries - No Matter Where Your Data Resides The concept of federated queries isn’t new. Facebook PrestoDB popularized the idea of distributed structured query language (SQL) query engines in 2013. Over the years, AWS, Google, Microsoft, and many others in the industry have accelerated the adoption of a distributed query engine model within their products. For example, AWS developed Amazon Athena on top of the Presto code base, while Google’s BigQuery is based on Cloud SQL.Explore
What is Unstructured Data? Almost 80% of the data that enterprises and organizations collect is unstructured - data without a set record format or structure. Unstructured data includes data such as emails, web pages, PDFs, documents, customer feedback, in-app reviews, social media, video files, audio files, and images.Explore