Category Archives: Data Warehousing

TDWI Anaheim Conference 2018: Post Event Highlights

TDWI Anaheim Astera DWAccelerator

TDWI Anaheim Conference 2018 has been a truly transformative journey for Team Astera. We attended several talking sessions, had one-on-one meetings with thought leaders and industry experts, and received a positive response for our products, especially our end-to-end data warehouse automation solution, DWAccelerator.

Event Overview

TDWI Anaheim Astera DWAccelerator

TDWI is the focal point of education, research, and insights when it comes to data management, analytics, and the latest trends and technologies within the big data realm. TDWI Anaheim Conference 2018 was held at the happiest place on Earth, Disneyland® Hotel, from August 5 to August 10, inviting data professionals from a whole host of renowned companies from across North America.

The 5-day long conference featured over 65 half- and full-day sessions by TDWI instructors and industry experts. It was geared towards providing hands-on training and practical experiences to data professionals and aspiring individuals. The scope of the conference revolved around four major areas, including data infrastructure and technologies, modern data management, machine learning and advanced analytics, and data strategy and leadership.

Highlights of the Event

TDWI Anaheim Conference 2018 enabled us to explore new avenues and learn about the latest happenings in the data management industry. Here is our version of the conference:

Our CEO Shared Data Warehousing Automation Insights

TDWI Anaheim Astera DWAccelerator

Ibrahim Surani, CEO Astera Software, conducted a talking session on ‘Model-Driven Data Warehouse Development.’ He started with the importance of data and highlighted major challenges businesses generally face when executing a data warehousing or integration project. He shed light on the indispensability of data warehouse automation in enhancing the quality, speed, and accuracy of data warehouse performance. He further talked about the ingredients for achieving data warehouse automation, which included source data modeler, dimension modeler, robust ETL engine, seamless connectivity, and high-performance ETL engine.

The crux of the talk was the meta-data driven model, which he explained in the form of a 4-step process, each illustrating the key aspects of automating the data warehouse development process. Ibrahim emphasized on the benefits of model-driven data warehouse automation, allowing businesses to cut maintenance costs, reduce time to market, and minimize handoffs between users and software tools, without compromising on the flexibility and power of the solution.

Discussions with Industry Experts on DWAccelerator

TDWI gathers industry experts and thought leaders from renowned research firms and Fortune 500 companies, some of which are instructors for the platform as well. We did several exclusive product demos and received positive feedback for DWAccelerator’s capabilities.

One of the TDWI instructors and Managing Research Director at EMA, John L Myers, showed great interest in DWAccelerator’s automation. The product is capable of drastically reducing the time-consuming process of developing enterprise data warehouse architecture and designing ETL processes. He was impressed with DWA’s several features, such as automatic joins, load policy configuration, and flow generation.

Our CEO and COO have been invited to participate in the panel for data warehouse automation in the upcoming TDWI conference in Orlando. Be sure to be on the lookout for the updates regarding our booth and free conference passes for TDWI Orlando Conference.

The Final Words

TDWI has been tracking trends and technologies shaping data and educating companies and professionals how to utilize data to its maximum potential for over 20 years. TDWI Anaheim Conference 2018 has been an insightful experience for our team and proved to be a great platform to connect with renowned industry names and clients looking for automated data warehousing solution, like DWAccelerator.

 

Big Data Toronto 2018: Post-Event Highlights

Team Astera participated in Big Data Toronto 2018 as an exhibitor and had a truly great experience networking with data scientists, practitioners, and thought leaders from across North America and beyond. We took the opportunity to introduce our end-to-end, agile data warehouse solution, DWAccelerator, and received a great response from the attendees.

Event Overview

Going strong in its third year, Big Data Toronto is among the most acclaimed big data and analytics conferences & expos in Canada. Over 4,000 innovators, 60+ exhibiting brands, and 100+ speakers gathered under one roof to embark on an educational journey and exchange technical insights, while providing an outlook on future trends of technology and best practices related to AI and data science.

The conference, held in Metro Toronto Convention Centre, was a two-day event, and covered key topics, including digital transformation, data governance, data management, predictive analytics, advanced machine learning, cyber security and privacy, and more.

Highlights of the Event

Big Data Toronto 2018 has been a thought-provoking and insightful journey for our team. Here is what we learned from the conference:

Agile Data Warehousing Practices

Data warehousing, as a field, stays highly relevant for businesses in the big data era, albeit the expectations have changed significantly over time. Agility in design and development of warehouses has become a key requirement. Businesses are diligently seeking solutions that can accelerate core data warehousing functions, such as data integration, analysis, and cleansing for business intelligence, among others.

Intelligent Data Extraction

Businesses are increasingly taking interest in agile data warehousing solutions that offer effective data extraction from complex structured and unstructured sources, as well as traditional sources. They need accurate, intelligible results quickly to acquire analytical reports through business intelligence tools, allowing them to conform to the changing market dynamics, as well as for making sound decisions for future endeavors.

DWAccelerator – The Solution to Major Data Warehousing Problems

Massive setup costs, time-consuming processes, and lack of agility and flexibility are some of the key obstacles met during BI project implementation. DWAccelerator can very well be the answer to all these issues. DWA is an all-round solution that instills agility and automation in data warehouse designing and development without having the user write a single line of code.

Our COO, Jay Mishra, conducted a session on “Accelerating your Data Warehouse Project” and shed light on problems and ways for businesses to speed up setting up a data warehouse. He presented DWAccelerator and showed that while a data warehouse, using traditional techniques, takes anywhere from a few weeks to several months to build, it can be done in under an hour with our automated solution. Some of the highlighting features of DWAccelerator, such as data models based mapping, automatic field matching, flow generation, and the concept of virtual data models, were well received.

We Met Prospective Partners and Clients

The innovative features and powerful data warehousing capabilities of DWAccelerator gathered much attention from the attendees. We talked to many data professionals and showcased how our product can automate the entire data warehousing process and cut down the costs and time required. This generated a lot of interest in our product, inspiring several new partners and prospective clients to join hands with Astera.

Overall, Big Data Toronto 2018 offered a plethora of insights and concepts that are likely to pave way for future technologies and trends. In addition, the Canada’s #1 big data and AI conference proved to be a great opportunity for us to meet new clients and partners and provide exposure to the latest addition to our product line, DWAccelerator.